Mastering GitLab Pipelines: The Ultimate CI/CD Guide

Year of manufacture : 2024
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/mastering-gitlab-pipelines-the-ultimate-cicd-guide/

Author : Sascha Delp,Alexander Panov
Duration : ~5h5m
Type of material distributed : Video lesson
Language : En
Описание: Welcome to the Ultimate GitLab Pipeline Course!Whether you’re new to CI/CD or have some experience, this course is designed to guide you step by step through mastering GitLab pipelines. Alexander and I will lead you through the intricacies of creating, managing, and optimizing pipelines tailored to your development needs.Are you ready to dive deep into GitLab pipelines and learn how to automate and optimize your CI/CD workflows? Do you want to uncover the secrets behind effective pipeline management and build processes within GitLab? Are you interested in learning how to securely manage secrets, deploy applications, and streamline your CI/CD pipeline using templates? Or perhaps you’re aiming to become proficient in setting up modular and dynamic pipelines that support scalable deployments.If any of these resonate with you, this course is perfect for you.
Content
01:20
00:40
14:57
Making the test job report its results
08:14
About caching and publishing build results as artifacts
16:28
Caches and Artifacts
3 questions
Rules: only run jobs when certain requirements are met
08:12
CICD variables: pass secrets securely to the pipeline
14:03
CICD variables: protected secrets and what they are meant for
06:52
Runners: Registering a shell runner on my laptop
12:31
Modular CICD pipelines: Promoting the deployment step to a template
12:33
Modular CICD pipelines: Inversion of control. One template for all apps
05:54
Environments: create one via the pipeline
10:33
Demo: Use GitLab pipelines to publish a book
02:31
Rules: Pattern matching the commit message
10:03
Environments: group environments
06:38
Introduction second Lesson
00:26
Presentation of the project we’ll be working on and CICD first steps (1/2)
15:47
Presentation of the project we’ll be working on and CICD first steps (2/2)
09:36
Deploy the application via SFTP and SSH (1/3)
15:51
Deploy the application via SFTP and SSH (2/3)
18:07
Deploy the application via SFTP and SSH (3/3)
12:29
Using templates to simplify whitelabeling (1/2)
22:08
Using templates to simplify whitelabeling (2/2)
20:26
Registering environments and tearing them down
13:41
Rules: dynamic pattern matching (1/2)
18:30
Rules: dynamic pattern matching (2/2)
05:38
Artifacts: Show the test results inside of GitLabs Web UI
21:02
You did it! One last info!
00:24
Example files : not provided
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~1500kbps
Audio : AAC, 44.1kHz, 128kbps, stereo

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆

Udemy – Mastering GitLab Pipelines The Ultimate CICD Guide (2.94 GB)

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Mastering Digital Forensics Essentials


Published 12/2025 Created by Starweaver Team MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 56 Lectures ( 4h 13m ) | Size: 3.4 GB​

A Beginner’s Guide to Investigating Cyber-Evidence, Tools, and Procedures.

What you’ll learn
Explain the role and scope of digital forensics in cybersecurity investigations.
Apply standard procedures to collect and preserve digital evidence using forensic tools.
Perform basic forensic analysis on digital media using industry-standard tools.
Create concise reports documenting digital evidence and analysis findings.

Requirements
Basic computer literacy, Familiarity with operating systems (Windows and/or Linux), Curiosity about cybersecurity or crime investigation

Description
The Mastering Digital Forensics Essentialsc specialization is designed to equip learners with a comprehensive, practical, and ethically grounded understanding of modern digital forensics principles, investigative methodologies, and forensic toolkits. Through this program, participants will gain mastery in uncovering digital evidence, analyzing compromised systems, recovering deleted or hidden data, tracing unauthorized activity, and validating the integrity of digital environments. Following a structured, industry-aligned curriculum, each module explores core forensic investigation domains in depth and pairs them with real-world case studies, guided labs, hands-on acquisition exercises, and scenario-based walkthroughs.Learners will develop job-ready skills in file system forensics, memory analysis, disk imaging, chain-of-custody documentation, log analysis, and report building-while learning to work with industry-standard forensic tools and frameworks. The specialization emphasizes a holistic understanding of the entire digital investigation lifecycle, from evidence identification and preservation to analysis, interpretation, and legal reporting. Participants will gain insights into how cybercriminals operate, how digital traces are created and concealed, and how forensic examiners reconstruct events with precision, patience, and methodological rigor.By the end of this program, learners will be fully prepared to conduct defensible digital investigations, contribute to incident response efforts, and collaborate with security teams to safeguard organizational assets. They will also develop the confidence to evaluate forensic findings, communicate technical conclusions clearly, and support decision-making processes during cybersecurity incidents. This specialization empowers aspiring investigators, IT professionals, and security practitioners with the technical expertise, analytical mindset, and ethical foundation required to navigate the rapidly expanding world of digital forensics-while promoting integrity, resilience, and responsible investigative practices across modern digital environments.

Who this course is for
IT professionals transitioning into cybersecurity, Computer science students and beginners, Law enforcement or legal professionals interested in digital evidence and Anyone curious about cybercrime investigation.

Welcome to – Check it Every Days
If you have any troubles with downloading, PM me

Happy Learning!!


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Mastering 5S: A Complete Guide With HandsOn Training


Mastering 5S: A Complete Guide With Hands-On Training
Published 8/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.42 GB | Duration: 3h 22m​

Transform Your Workplace Efficiency with Step-by-Step 5S Methodology and Practical Applications

What you’ll learn

The basics of the 5S methodology, including the five steps of Sort, Set in Order, Shine, Standardize, and Sustain.

The benefits of implementing 5S in the workplace, including improved safety, productivity, efficiency, and quality.

The role of employees in the 5S implementation process, including the importance of teamwork and communication.

The steps involved in implementing 5S, including forming a 5S implementation team, conducting training, and conducting audits.

Strategies for sustaining and continuously improving the 5S process.

Real-life examples and case studies of successful 5S implementation in different industries.

By the end of this course, students will have a solid understanding of the 5S methodology and the skills and knowledge needed to lead or participate in a 5S imp

Requirements

Some general requirements that may be helpful for students taking this course include:

Basic knowledge of workplace organization and management. Familiarity with lean principles and continuous improvement methodologies. Basic understanding of workplace safety and quality management.

Additionally, students may benefit from having experience or familiarity with the industry or workplace in which they plan to implement 5S. This can help in identifying specific areas for improvement and tailoring the 5S implementation process to the needs of the workplace.

Overall, this course is designed to provide a comprehensive introduction to the 5S methodology and can be taken by anyone interested in improving workplace organization and efficiency, regardless of their background or experience.

Description

Are you ready to revolutionize your workplace with the transformative power of 5S? "Mastering 5S Implementation: A Complete Guide with Hands-On Training" is your gateway to enhancing productivity, streamlining processes, and fostering a culture of continuous improvement. This comprehensive course is meticulously designed for professionals and organizations determined to elevate their operational efficiency.What You Will Learn:Foundations of 5S: Delve into the core principles and philosophy that underpin the 5S methodology.Step-by-Step Implementation: Gain a thorough understanding of the five essential steps: Sort, Set in Order, Shine, Standardize, and Sustain.Hands-On Training: Engage in practical exercises and real-world scenarios, allowing you to apply 5S techniques directly to your workplace.Sustainability Strategies: Develop robust strategies to maintain and continuously improve your 5S practices over time.Case Studies: Explore successful 5S implementations from various industries, providing you with valuable insights and inspiration.Why Choose This Course:Expert Instruction: Benefit from the knowledge and experience of industry experts who have successfully implemented 5S and Lean methodologies.Interactive Learning: Participate in hands-on activities and collaborative projects designed to solidify your understanding of 5S concepts.Comprehensive Resources: Access an extensive array of resources, including templates, checklists, and assessment tools, to support your 5S journey.Certification: Earn a certificate of completion to validate your expertise in 5S implementation and enhance your professional credentials.Embark on this transformative journey to master 5S implementation and unlock the full potential of your workplace. By enrolling in this course, you’ll start creating a more organized, efficient, and productive environment. Join us today and take the first step towards operational excellence.

Overview

Section 1: Introduction

Lecture 1 Evolution of 5S from Ford CANDO to Toyota TPS

Lecture 2 Welcome video

Lecture 3 Table of Contents for 5S Training

Lecture 4 who should do it?

Lecture 5 When should do it?

Lecture 6 How to do 5S?

Lecture 7 5S is habit?

Section 2: Preliminary work to initiate 5S project

Lecture 8 Implementation of 5S.

Lecture 9 How to divide factory and making of Zonal Chart?

Lecture 10 Opening of 4ases-5s_implementation

Lecture 11 4ases of 5S implementation -1

Lecture 12 5S four Phases pictorial view explain

Lecture 13 4-phases Tree chart: template

Section 3: 5S Preparatory Phase

Lecture 14 1.1 Decision Making

Lecture 15 Hands on training for Decision making Form

Lecture 16 1.2 & 1.2.1 Drafting action Plan

Lecture 17 1.2.2 Overall situation of Factory/departments

Lecture 18 1.2.3,4,5 Problem statement, Goals and Objectives

Lecture 19 1.2.6 Pilot Area selection

Lecture 20 1.3 Kick-off Meeting

Section 4: Introductory Phase

Lecture 21 2.0 Introductory Phase intro

Lecture 22 How to outline Training for S1, S2, S3?

Lecture 23 Sorting/Red tag activity

Lecture 24 Best practices for an effective sorting/Red tagging

Lecture 25 Best Strategy to do sorting/Red tag Actvities

Lecture 26 Set in Order practicing Strategies

Lecture 27 Documentation of Red Tagging activity

Lecture 28 Presentation on Practicing 3rd pillar of 5S: Shining

Lecture 29 How to use shining checklists and thier benefits?

Lecture 30 How to collect the feedbacks for implementation of introductory phase

Section 5: Implementing Phase

Lecture 31 Table of Contents for 5S implementing phase

Lecture 32 What are the role & Responsibilities of 5S teams

Lecture 33 What is 4th pillar of 5S methodology: Seiketsu / Standardize

Lecture 34 How to Navigate the list of 5S Procedures

Lecture 35 How to edit the procedures

Lecture 36 How to use the 5S dashboard?

Section 6: Maintenance Phase

Lecture 37 Maintaining 5S: The Key to Long-Term Success

Lecture 38 Practicing 5th Pillar of 5S

Lecture 39 Presentation on 5S visuals Tools for Visual Controls

Lecture 40 How to prepare MIS reports and present them to top management

Lecture 41 Culture Building Story for Successful implementation of 5S.

Lecture 42 Case study of Samridhi Pvt limited : 5S story of culture building

Lecture 43 5S action plan presentation

ITI in production, graduates in science or commerce, management graduates, engineering graduates, diploma in engineering, cnc or VMC, die fitter certificate course holders in technical vocation. Work experience of about one years in manufacturing will make it easier to appreciate the course.,This course on 5S implementation is designed for a wide range of learners, including:,Managers and supervisors: Those responsible for leading and managing teams in the workplace will benefit from this course by gaining a deeper understanding of the 5S methodology and how to implement it effectively. They will learn strategies for organizing the workplace, improving safety, and increasing productivity.,Employees and frontline workers: Frontline workers in any industry can benefit from this course by learning how to identify areas for improvement in the workplace and how to contribute to the implementation of 5S. They will learn about the benefits of 5S and how it can improve their working conditions and overall job satisfaction.,Quality and safety professionals: Those responsible for ensuring quality and safety in the workplace will benefit from this course by gaining a deeper understanding of the 5S methodology and how it can contribute to improving quality and safety. They will learn strategies for implementing 5S and how to sustain and continuously improve the process.,Lean practitioners: Those familiar with lean principles and continuous improvement methodologies will benefit from this course by gaining a deeper understanding of the 5S methodology and how it fits into a broader approach to improving workplace efficiency and quality.,Overall, this course is designed for anyone interested in improving workplace organization and efficiency, regardless of their background or experience. It is especially valuable for those looking to implement the 5S methodology in their workplace or those looking to deepen their understanding of lean principles and continuous improvement methodologies.


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Masterclass In Presentation With Powerpoint & Generative Ai


Masterclass In Presentation With Powerpoint & Generative Ai
Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.02 GB | Duration: 4h 0m​

Master agency-level PowerPoint design skills and effects with Generative AI to create presentations to a pro standard

What you’ll learn

Professional Business Presentation Design: Create top-tier business presentation slides with agency-level quality, starting from basic PowerPoint skills.

Slide Design Fundamentals: Master typography, image manipulation, color schemes, and infographic creation to design visually compelling slides.

Generative AI Integration: Use tools like Midjourney and Adobe Firefly to create unique theme images and visuals aligned with your presentation content.

Advanced PowerPoint Techniques: Learn features like morphing transitions, hyperlink navigation, and zoom for dynamic, engaging presentations.

Hands-On Exercises: Practice design principles in Microsoft 365 PowerPoint with real-world, practical examples for immediate application.

Requirements

PowerPoint 2019 or Microsoft Office 365 PowerPoint

No prior PowerPoint knowledge needed. Learn from basics to advanced professional skills.

Description

What You’ll Learn in This CourseAdvanced slide creation techniques matching professional advertising & design agency standards to elevate your presentationsComprehensive business presentation visuals creation and implementation strategies using Midjourney and Adobe FireflyEnhanced presentation skills with practical business examples and proven methodologiesTime-saving workflows inspired by professional advertising & design agencies to streamline your processMaster Professional Slide Creation Learn elite-level presentation techniques used by top advertising agencies and slide design specialists in competitive environments. Go beyond basic PowerPoint functions to design sophisticated slides that maximize business opportunities through strategic and visually impactful designs that captivate your audience.Leverage Generative AI for Business Presentation Visuals Practice using cutting-edge tools like Midjourney and Adobe Firefly to produce high-quality business presentation visuals with professional polish. These valuable skills empower anyone, regardless of design experience, to create premium slides efficiently and effectively in any business context.Practical Skills Through Real-World Scenarios Apply essential PowerPoint features such as morph transitions, hyperlinks, and zoom effects in realistic business contexts and situations. Through focused exercises and hands-on practice, you’ll gain the confidence and expertise to tackle common presentation challenges with ease.Efficiency-Driven Workflows from Industry Experts Adopt proven time-saving workflows from top advertising & design agencies to optimize your slide production process and enhance productivity. Learn how to deliver exceptional results quickly and efficiently, balancing outstanding quality with speed while maintaining professional standards throughout your work.

Overview

Section 1: Introduction : Mastering Top-Tier PowerPoint Design Skills

Lecture 1 Orientation

Section 2: 1. Getting Started – How to Use PowerPoint 10 Times Faster

Lecture 2 1.1 Quick Access Toolbar: Settings and Practical Tips

Lecture 3 1.2 Must-Know Essential Shortcuts

Section 3: 2. Step-by-Step Workflow for Slide Creation

Lecture 4 2.1 Workflow for Content Writing

Lecture 5 2.2 Workflow for Slide Design

Lecture 6 2.3 Creating a Mood Board

Lecture 7 2.4 Designing Slide Layouts

Lecture 8 2.5 How to Use Presentation Effects

Section 4: 3. Typography in Slide Design

Lecture 9 3.1 Working with Fonts

Lecture 10 3.2 How to Design a Title(Cover) Slide-1

Lecture 11 3.3 How to Design a Title(Cover) Slide-2

Lecture 12 3.4 How to Design a Table of Contents and Section Divider Slide

Lecture 13 3.5 How to Design a Content Slide

Section 5: 4. Creating Slide Images Using Generative AI

Lecture 14 4.1 A Two-Step Workflow for Creating Slide Images with Generative AI

Lecture 15 4.2 How to Create Slide Images Using MidJourney

Lecture 16 4.3 How to Create Slide Images Using Adobe Firefly

Lecture 17 4.4 How to Adjust Images to Slide Layouts with MidJourney

Lecture 18 4.5 How to Adjust Images to Slide Layouts with Adobe Firefly

Section 6: 5. Utilization of Color

Lecture 19 5.1 Two Principles of Color Utilization

Lecture 20 5.2 How to Apply the Color Utilization Principles

Lecture 21 5.3 How to Utilize Gradient Colors

Section 7: 6. Infographic Design in Presentation Slides

Lecture 22 6.1 How to Create and Design Charts

Lecture 23 6.2 How to Enhance Chart Slides Using Background Images

Lecture 24 6.3 How to Design Pie Charts and Utilize 3D Icons

Section 8: 7. Practical Business Presentation Effects and Skills

Lecture 25 7.1 How to Use Morph Transition Effect in Presentations

Lecture 26 7.2 How to Use Hyperlink Effect in Presentations

Lecture 27 7.3 How to Use Slide Zoom Effect in Presentations

Professionals aiming to master high-end business presentation design,Business users looking to leverage AI tools like Midjourney and Adobe Firefly,Corporate employees, instructors, and job seekers requiring professional slide design expertise,Business leaders who want to enhance their presentations with advanced techniques like morphing, hyperlinks, and zoom effects

Masterclass IA De Zero a Heros de l IA FRENCH


15.33 GB | 45min 51s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction à la Masterclass en ingénierie de l’IA De zéro à héros de l’IA.mp4 (30.76 MB)
3 Introduction à la semaine 1 – Bases de Python.mp4 (2.57 MB)
4 Jour 1 Introduction à Python et setup.mp4 (135.59 MB)
5 Jour 2 Contrôle du flux dans Python.mp4 (224.16 MB)
6 Jour 3 Fonctions et modules.mp4 (149.5 MB)
7 Jour 4 Structures de données (Listes, Tuples, Dictionnaires, Ensembles).mp4 (219.23 MB)
8 Jour 5 Manipulation des chaînes de caractères.mp4 (163.1 MB)
9 Jour 6 Gestion des fichiers.mp4 (160.43 MB)
10 Jour 7 Code Pythonique et travail sur projet.mp4 (362.26 MB)
11 Introduction à la semaine 2 – Science des données.mp4 (3.13 MB)
12 Jour 1 Introduction à NumPy pour les calculs numériques.mp4 (170.44 MB)
13 Jour 2 Opérations avancées avec NumPy.mp4 (159.2 MB)
14 Jour 3 Introduction à Pandas pour la manipulation de données.mp4 (163.17 MB)
15 Jour 4 Nettoyage et préparation des données avec Pandas.mp4 (168.53 MB)
16 Jour 5 Agrégation et regroupement des données avec Pandas.mp4 (109.11 MB)
17 Jour 6 Visualisation des données avec Matplotlib et Seaborn.mp4 (231.56 MB)
18 Jour 7 Projet d’analyse exploratoire des données (EDA).mp4 (179.16 MB)
19 Introduction à la semaine 3 – Mathématiques pour le ML.mp4 (3.39 MB)
20 Jour 1 Fondamentaux de l’algèbre linéaire.mp4 (151.86 MB)
21 Jour 2 Concepts avancés en algèbre linéaire.mp4 (143.7 MB)
22 Jour 3 Calcul différentiel pour le ML.mp4 (129.97 MB)
23 Jour 4 Calcul intégral et optimisation.mp4 (108.96 MB)
24 Jour 5 Théorie des probabilités et distributions.mp4 (185.87 MB)
25 Jour 6 Fondamentaux en statistiques.mp4 (144.23 MB)
26 Jour 7 Mini projet mathématique – Régression linéaire depuis zéro.mp4 (126.98 MB)
27 Introduction à la semaine 4 – Probabilités et statistiques.mp4 (3.56 MB)
28 Jour 1 Variables aléatoires et théorie des probabilités.mp4 (131.36 MB)
29 Jour 2 Distributions de probabilité dans le ML.mp4 (123.28 MB)
30 Jour 3 Inférence statistique – Estimation et intervalles de confiance.mp4 (115.73 MB)
31 Jour 4 Tests d’hypothèse et valeurs p.mp4 (73.39 MB)
32 Jour 5 Types de tests d’hypothèse.mp4 (138.95 MB)
33 Jour 6 Corrélation et régression.mp4 (132.32 MB)
34 Jour 7 Projet d’analyse statistique – Analyse de données réelles.mp4 (216.65 MB)
35 Introduction à la semaine 5 – ML.mp4 (3.61 MB)
36 Jour 1 Bases du machine learning et terminologie.mp4 (106.94 MB)
37 Jour 2 Apprentissage supervisé et modèles de régression.mp4 (102.61 MB)
38 Jour 3 Régressions avancées – polynomiale et régularisation.mp4 (271.41 MB)
39 Jour 4 Classification et régression logistique.mp4 (209.86 MB)
40 Jour 5 Évaluation des modèles et validation croisée.mp4 (119.56 MB)
41 Jour 6 Algorithme des k-plus proches voisins (k-NN).mp4 (145.01 MB)
42 Jour 7 Mini projet d’apprentissage supervisé.mp4 (236.96 MB)
43 Introduction à la semaine 6 – Feature Engineering.mp4 (2.92 MB)
44 Jour 1 Introduction à l’ingénierie des caractéristiques.mp4 (114.65 MB)
45 Jour 2 Normalisation et mise à l’échelle des données.mp4 (139.36 MB)
46 Jour 3 Encodage des variables catégorielles.mp4 (141.79 MB)
47 Jour 4 Techniques de sélection de caractéristiques.mp4 (133.67 MB)
48 Jour 5 Création et transformation de caractéristiques.mp4 (145.75 MB)
49 Jour 6 Méthodes d’évaluation des modèles.mp4 (125.69 MB)
50 Jour 7 Validation croisée et réglage des hyperparamètres.mp4 (171.45 MB)
51 Introduction à la semaine 7 – Algorithmes avancés.mp4 (2.86 MB)
52 Jour 1 Introduction à l’apprentissage ensembliste.mp4 (117.95 MB)
53 Jour 2 Bagging et forêts aléatoires.mp4 (112.51 MB)
54 Jour 3 Boosting et Gradient Boosting.mp4 (132.93 MB)
55 Jour 4 Introduction à XGBoost.mp4 (175.24 MB)
56 Jour 5 LightGBM et CatBoost.mp4 (184.41 MB)
57 Jour 6 Gérer les données déséquilibrées.mp4 (152.46 MB)
58 Jour 7 Projet – Comparaison de modèles sur données réelles.mp4 (216.47 MB)
59 Introduction à la semaine 8 – Optimisation.mp4 (4.55 MB)
60 Jour 1 Introduction au tuning des hyperparamètres.mp4 (112.71 MB)
61 Jour 2 Grid Search et Random Search.mp4 (141.69 MB)
62 Jour 3 Optimisation bayésienne.mp4 (263.75 MB)
63 Jour 4 Techniques de régularisation.mp4 (118.15 MB)
64 Jour 5 Validation croisée et évaluation.mp4 (109.7 MB)
65 Jour 6 Tuning automatisé avec GridSearchCV et RandomizedSearchCV.mp4 (184.1 MB)
66 Jour 7 Projet – Construction et réglage du modèle final.mp4 (230.82 MB)
67 Introduction à la semaine 9 – Deep Learning.mp4 (4.13 MB)
68 Jour 1 Concepts de base en deep learning.mp4 (117.5 MB)
69 Jour 2 Propagation avant et fonctions d’activation.mp4 (120.42 MB)
70 Jour 3 Fonctions de perte et rétropropagation.mp4 (131.28 MB)
71 Jour 4 Descente de gradient et techniques d’optimisation.mp4 (186.52 MB)
72 Jour 5 Création de réseaux avec TensorFlow et Keras.mp4 (168.06 MB)
73 Jour 6 Création de réseaux avec PyTorch.mp4 (252.92 MB)
74 Jour 7 Projet – Classification d’images avec CIFAR-10.mp4 (213.99 MB)
75 Introduction à la semaine 10 – CNNs.mp4 (4.09 MB)
76 Jour 1 Introduction aux CNNs.mp4 (227.53 MB)
77 Jour 2 Couches convolutives et filtres.mp4 (203.21 MB)
78 Jour 3 Couches de pooling et réduction de dimension.mp4 (230.56 MB)
79 Jour 4 Architectures CNN avec KerasTensorFlow.mp4 (158.86 MB)
80 Jour 5 Architectures CNN avec PyTorch.mp4 (208.21 MB)
81 Jour 6 Régularisation et augmentation de données.mp4 (159.08 MB)
82 Jour 7 Projet CNN – Classification Fashion MNIST ou CIFAR-10.mp4 (254.2 MB)
83 Introduction à la semaine 11 – RNNs et séquences.mp4 (4.37 MB)
84 Jour 1 Introduction à la modélisation séquentielle.mp4 (264.26 MB)
85 Jour 2 Architecture RNN et rétropropagation temporelle.mp4 (220.56 MB)
86 Jour 3 Réseaux LSTM.mp4 (117.03 MB)
87 Jour 4 Unités GRU.mp4 (57.3 MB)
88 Jour 5 Prétraitement de texte et word embeddings.mp4 (216.34 MB)
89 Jour 6 Modèles séquence-à-séquence et applications.mp4 (460.28 MB)
90 Jour 7 Projet RNN – Génération de texte ou analyse de sentiment.mp4 (162.83 MB)
91 Introduction à la semaine 12 – Transformers.mp4 (4.29 MB)
92 Jour 1 Mécanismes d’attention.mp4 (120.6 MB)
93 Jour 2 Architecture Transformer.mp4 (156.75 MB)
94 Jour 3 Attention multi-tête et auto-attention.mp4 (192.27 MB)
95 Jour 4 Encodage positionnel et réseaux feed-forward.mp4 (174.33 MB)
96 Jour 5 Utilisation de BERT et GPT pré-entraînés.mp4 (184.14 MB)
97 Jour 6 Transformers avancés – variantes BERT et GPT-3.mp4 (192.57 MB)
98 Jour 7 Projet Transformer – Résumé ou traduction de texte.mp4 (170.48 MB)
99 Introduction à la semaine 13 – Transfer Learning.mp4 (3.52 MB)
100 Jour 1 Concepts de base de l’apprentissage par transfert.mp4 (129.1 MB)
101 Jour 2 Apprentissage par transfert en vision par ordinateur.mp4 (247.35 MB)
102 Jour 3 Techniques de fine-tuning en vision.mp4 (203 MB)
103 Jour 4 Transfer Learning en NLP.mp4 (149.99 MB)
104 Jour 5 Fine-tuning en NLP.mp4 (241.44 MB)
105 Jour 6 Adaptation de domaine et défis.mp4 (139.03 MB)
106 Jour 7 Projet – Fine-tuning pour une tâche personnalisée.mp4 (173.13 MB)]
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MasterClass – Lewis Hamilton Teaches a Winning Mindset


MasterClass – Lewis Hamilton Teaches a Winning Mindset
.MKV, AVC, 1920×1080, 24 fps | English, AAC, 2 Ch | 2h 12m | + PDF | 5.73 GB​

As the winningest Formula 1 driver in the history of the sport, Lewis Hamilton knows what it takes to come out on top. Now, he’s teaching you how to achieve greatness in your own life. Whether you already know your goals or are still trying to figure them out, you’ll learn how to face your fears, turn negatives into positives, and continuously challenge yourself in order to find-and reach-your true potential.

From the time Lewis Hamilton began kart racing as a child, he noticed he was the only driver of color. For years, he tried his hardest to blend in, but as he grew into himself and into his role as a champion F1 driver, he learned to not only embrace his differences, but also to celebrate them.

Now, Lewis is committed to promoting diversity and inclusion to underrepresented groups in engineering and motorsports and has created foundations such as Mission 44 and the Hamilton Commission to jump-start change in the motorsport industry.

In addition to being an activist for social justice, Lewis is also an advocate for the environment and is using his platform to help educate and motivate others to join in the fight for change.

Lessons in this online class include:

Ignite Your Passion
The Power of Influences and Inspiration
At One With the Machine
How to Deal With Failure
How to Build Trust and Promote Teamwork
How to Exercise Self-Discipline
Optimize Your Body for Performance
Mental Preparation
The Power of Diverse Interests
Influence the World Beyond Your Own
Pave the Path for Others

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MasterClass – Jake Shimabukuro Teaches Ukulele


2.16 GB | 23min 26s | mkv | 960X540 | 16:9
Genre:eLearning |Language:English
Files Included :
FileName :01 Meet Your Instructor.mkv | Size: (43.3 MB)
FileName :02 OO·koo·LEY·ley Basics.mkv | Size: (56.9 MB)
FileName :03 Holding Your ‘Ukulele.mkv | Size: (74.05 MB)
FileName :04 Navigating the Fretboard.mkv | Size: (134.7 MB)
FileName :05 Strumming Techniques.mkv | Size: (114.37 MB)
FileName :06 Demystifying Chords.mkv | Size: (306.87 MB)
FileName :07 Playing Advanced Chords.mkv | Size: (181.68 MB)
FileName :08 Melodic and Rhythmic Dimension.mkv | Size: (141.96 MB)
FileName :09 Finding Your Sound.mkv | Size: (90.42 MB)
FileName :10 Mastering Vibrato.mkv | Size: (59.07 MB)
FileName :11 The Magic of Tremolo.mkv | Size: (197.75 MB)
FileName :12 Tremolo Performance "While My Guitar Gently Weeps".mkv | Size: (53.8 MB)
FileName :13 Breaking Down the Classics "Hallelujah".mkv | Size: (95.9 MB)
FileName :14 The Classics Performance "Hallelujah".mkv | Size: (70.16 MB)
FileName :15 The Beauty of Harmonics.mkv | Size: (80.37 MB)
FileName :16 Harmonics Performance "Dragon".mkv | Size: (74.37 MB)
FileName :17 Arranging "Bohemian Rhapsody".mkv | Size: (147.35 MB)
FileName :18 Arranging Performance "Bohemian Rhapsody".mkv | Size: (45.64 MB)
FileName :19 Creating an Original Song.mkv | Size: (230.84 MB)
FileName :20 Okage Sama De.mkv | Size: (16.24 MB)]
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Master Time Series Analysis and Forecasting with Python 2025


20.99 GB | 26min 20s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Time Series Analysis and Forecasting with Python.mp4 (10.51 MB)
2 Course Introduction.mp4 (17.24 MB)
4 Diogo’s Introduction and Background.mp4 (28 MB)
5 Unlimited Updates and Enhancements 2025.mp4 (27.86 MB)
1 Time Series Analysis Overview.mp4 (40.92 MB)
1 Game Plan for Introduction to Time Series Forecasting.mp4 (18.5 MB)
2 What is Time Series Data.mp4 (14.33 MB)
3 Python – Libraries and Data.mp4 (23.69 MB)
4 Python – Time Series Index.mp4 (74.37 MB)
5 Python – Exploratory Data Analysis.mp4 (52.74 MB)
6 Python – Data Visualization.mp4 (45.22 MB)
7 Python – Data Manipulation.mp4 (79.38 MB)
8 Seasonal Decomposition.mp4 (26.94 MB)
9 Python – Seasonal Plots.mp4 (51.02 MB)
10 Python – Seasonal Decomposition.mp4 (74.18 MB)
11 Auto-Correlation.mp4 (10.67 MB)
12 Python – Auto-correlation.mp4 (41.69 MB)
13 Partial Auto-Correlation.mp4 (15.38 MB)
14 Python – Partial Auto-Correlation.mp4 (28.95 MB)
15 Python – Building a Useful Function Script.mp4 (37.64 MB)
16 Can you predict stock prices.mp4 (20.46 MB)
17 What did we learn in this section.mp4 (14.99 MB)
18 CASE STUDY Forecasting Gone Wrong.mp4 (63.16 MB)
19 Will you help me.mp4 (13.7 MB)
1 Game Plan For Exponential Smoothing and Holt-Winters.mp4 (21.72 MB)
2 CASE STUDY BRIEFING Customer Complaints.mp4 (16.87 MB)
3 Python – Set Up.mp4 (62.15 MB)
4 Python – Data Processing.mp4 (40.09 MB)
5 Python – Exploratory Data Analysis.mp4 (58.85 MB)
6 Training and Test Set in Time Series.mp4 (15.73 MB)
7 Python – Training and Test Set.mp4 (14.29 MB)
8 Simple Exponential Smoothing.mp4 (23.57 MB)
9 Python – Simple Exponential Smoothing.mp4 (51.72 MB)
10 Double Exponential Smoothing.mp4 (17.44 MB)
11 Python – Double Exponential Smoothing.mp4 (57.24 MB)
12 Triple Exponential Smoothing aka Holt-Winters.mp4 (25.7 MB)
13 Python – Triple Exponential Smoothing aka Holt-Winters.mp4 (35.89 MB)
14 Measuring Errors for Time Series Forecasting.mp4 (33.97 MB)
15 Python – MAE, RMSE, MAPE.mp4 (91.3 MB)
16 Python – Predicting The Future.mp4 (51.6 MB)
17 Python – Daily Data.mp4 (91.49 MB)
18 Python – Working on the Useful Code Script.mp4 (25.35 MB)
19 Holt-Winter Pros and Cons.mp4 (16.2 MB)
1 Project Presentation Air miles.mp4 (11.59 MB)
2 Python Solutions Setting up and EDA.mp4 (146.25 MB)
3 Python Solutions Model building and Assessment.mp4 (84.24 MB)
1 Game Plan for ARIMA, SARIMA and SARIMAX.mp4 (20.24 MB)
2 CASE STUDY BRIEFING Predicting Daily Revenues.mp4 (25.36 MB)
3 Python – Setting Up.mp4 (94.32 MB)
4 ARIMA.mp4 (19.31 MB)
5 Auto-Regressive.mp4 (24.43 MB)
6 Integrated.mp4 (27.33 MB)
7 Python – Stationarity with ChatGPT.mp4 (65.86 MB)
8 Moving Average.mp4 (15.41 MB)
9 Python – ARIMA.mp4 (90.23 MB)
10 AIC and BIC.mp4 (26.53 MB)
11 SARIMA.mp4 (19.18 MB)
12 Python – SARIMA.mp4 (61.47 MB)
13 SARIMAX.mp4 (17.07 MB)
14 Python – SARIMAX.mp4 (82.01 MB)
15 Cross-Validation for Time Series.mp4 (17.94 MB)
16 Python – Cross-Validation.mp4 (100.92 MB)
17 Parameter Tuning.mp4 (16.04 MB)
18 Python – Setting the Parameters.mp4 (49.34 MB)
19 Python – Parameter Tuning.mp4 (151.32 MB)
20 Python – Parameter Tuning Results.mp4 (30.49 MB)
21 Python – Predicting The Future Set Up.mp4 (38.03 MB)
22 Python – Predicting The Future.mp4 (34.64 MB)
23 SARIMAX Pros and Cons.mp4 (15.27 MB)
1 Modern Time Series Forecasting Overview.mp4 (28.98 MB)
1 Game Plan for Facebook Prophet.mp4 (24.99 MB)
2 Structural Time Series and Prophet.mp4 (55.37 MB)
3 CASE STUDY BRIEFING Bike Sharing.mp4 (29.26 MB)
4 Python – Directory and Libraries.mp4 (106.17 MB)
5 Python – Preparing Data.mp4 (135.17 MB)
6 Python – Exploratory Data Analysis.mp4 (139.52 MB)
7 Dynamic Holidays.mp4 (20.98 MB)
8 Python – Holidays.mp4 (144.83 MB)
9 Prophet Model Parameters.mp4 (26.83 MB)
10 Python – Prophet Model.mp4 (90.46 MB)
11 Python – Regressor Coefficients with ChatGPT.mp4 (148.44 MB)
12 Python – Cross-Validation.mp4 (97.63 MB)
13 Python – Performance Metrics.mp4 (98.97 MB)
14 Python – Fixing 2012-10-29 with ChatGPT.mp4 (243.12 MB)
15 Python – Feature Engineering.mp4 (187.87 MB)
16 Python – Parameter Tuning Set Up.mp4 (51.3 MB)
17 Python – Parameter Tuning.mp4 (77.7 MB)
18 Python – Parameter Tuning Outcome.mp4 (65.62 MB)
19 Python – Predicting The Future Set Up.mp4 (109.62 MB)
20 Python – Tuned Prophet Model.mp4 (38.46 MB)
21 Python – Forecasting.mp4 (121.09 MB)
22 Python – Prophet Data Visualization with ChatGPT.mp4 (115.38 MB)
23 Prophet Pros and Cons.mp4 (12.64 MB)
1 Project Introduction.mp4 (61.03 MB)
2 Python – Challenge Solutions Part 1.mp4 (192.48 MB)
3 Python – Challenge Solutions Part 2.mp4 (366.63 MB)
4 Python – Challenge Solutions Part 3.mp4 (72.77 MB)
1 Game Plan for Linkedin Silverkite.mp4 (16.15 MB)
2 LinkedIn Silverkite.mp4 (8.24 MB)
3 Linkedin Silverkite versus Facebook Prophet.mp4 (20.7 MB)
5 Python – Directory and Libraries.mp4 (129.23 MB)
6 Python – Loading and Preparing Data.mp4 (72.37 MB)
7 Python – Metadata.mp4 (66.6 MB)
8 Model Components.mp4 (34.3 MB)
9 Growth terms.mp4 (18.63 MB)
10 Python – Growth terms.mp4 (42.07 MB)
11 Types of Seasonality.mp4 (29.14 MB)
12 Python – Seasonality.mp4 (37.58 MB)
13 Python – Available Countries and Holidays.mp4 (131.38 MB)
14 Python – Changepoints.mp4 (36.35 MB)
15 Lagged Regressors.mp4 (18.43 MB)
16 Python – Regressors, Lagged Regressors and Autoregression.mp4 (52.04 MB)
17 Fitting the data.mp4 (22.04 MB)
18 Ridge.mp4 (41.67 MB)
19 Gradient Boosting – Boosting.mp4 (33.76 MB)
20 Gradient Boosting – Feature Sampling.mp4 (16.39 MB)
21 Python – Custom Elements and Silverkite Model.mp4 (73.53 MB)
22 Python – Silverkite Cross-Validation.mp4 (241.82 MB)
23 Python – Parameter Tuning Results.mp4 (103.61 MB)
24 Python – Visualization and Forecast.mp4 (127.5 MB)
25 Linkedin Silverkite Pros and Cons.mp4 (15.36 MB)
1 Deep Learning for Time Series Forecasting Overview.mp4 (22.48 MB)
1 Game Plan for LSTM.mp4 (58.69 MB)
2 Simple Neural Network.mp4 (42.53 MB)
3 Recurrent Neural Networks (RNN).mp4 (21.88 MB)
4 LSTM.mp4 (35.48 MB)
5 Python – Directory and Libraries.mp4 (144.22 MB)
6 Python – EDA.mp4 (59.41 MB)
7 Python – Time Series Objects.mp4 (50.01 MB)
8 Python – Time Variables.mp4 (87.91 MB)
9 Python – Scaling.mp4 (72 MB)
10 LSTM parameters.mp4 (21.34 MB)
11 Activation Functions.mp4 (28.34 MB)
12 Python – LSTM Model.mp4 (165.64 MB)
13 Python – Cross-Validation.mp4 (66.69 MB)
14 Python – Cross-Validation Performance.mp4 (166.85 MB)
15 Python – Parameter Grid.mp4 (80.3 MB)
16 Python – Parameter Tuning Round 1.mp4 (98.7 MB)
17 Python – Parameter Tuning Round 1 Part 2.mp4 (102.96 MB)
18 Python – Parameter Tuning Round 2.mp4 (180.52 MB)
19 Python – Parameter Tuning Final Results.mp4 (75.97 MB)
20 Python – Tuned LSTM Model.mp4 (104.89 MB)
21 Python – Predicting The Future.mp4 (59.11 MB)
22 Multiple Time Series Forecasting.mp4 (68.31 MB)
23 M4 Data set.mp4 (33.31 MB)
24 Python – Preparing Script and Loading Data.mp4 (153.66 MB)
25 Python – Preprocessing Data.mp4 (61.53 MB)
26 Python – Preprocessing Time.mp4 (71.3 MB)
27 Python – Visualization + Hourly Seasonality.mp4 (159.06 MB)
28 Python – Daily Seasonality.mp4 (57.16 MB)
29 Python – Time Covariates, Scaling and Time Steps.mp4 (52.93 MB)
30 Python – LSTM Model and Cross-Validation with Multiple Series.mp4 (39.64 MB)
31 Python – CV Results.mp4 (141.23 MB)
32 Python – CV Visualization.mp4 (85.08 MB)
33 Python – Parameter Tuning round 1.mp4 (107.68 MB)
34 Python – Parameter Tuning round 2.mp4 (64.58 MB)
35 Python – Predicting the future.mp4 (197.27 MB)
36 LSTM Pros and Cons.mp4 (12.67 MB)
1 Game Plan for TFT.mp4 (24.33 MB)
2 Introduction to Temporal Fusion Transformers.mp4 (65.01 MB)
3 Case Study Briefing – Electricity Pricing.mp4 (19.17 MB)
4 Python – Starter File.mp4 (121.73 MB)
5 TFT Model Architecture.mp4 (140.14 MB)
6 Covariates Past, Future and Static.mp4 (15.73 MB)
7 Python – Series, Time and Static Covariates.mp4 (114.05 MB)
8 Python – Past Covariates.mp4 (28.24 MB)
9 Python – Future Covariates.mp4 (119.91 MB)
10 Python – Scaling.mp4 (38.05 MB)
11 TFT Model Parameters.mp4 (29.79 MB)
12 Python – TFT Model.mp4 (138.68 MB)
13 Python – Cross-Validation.mp4 (63.11 MB)
14 Python – Cross-Validation Results.mp4 (74.7 MB)
15 Python – Visualizing the Cross-Validation Results.mp4 (56.66 MB)
16 Random vs Complete Parameter Tuning.mp4 (34.07 MB)
17 Python – Parameter Grid.mp4 (104.05 MB)
18 Python – Parameter Tuning.mp4 (89.05 MB)
19 Python – Parameter Tuning Results and Storing.mp4 (84.19 MB)
20 Python – Tuned TFT Model.mp4 (83.67 MB)
21 Python – Forecasting and Visualization.mp4 (87.62 MB)
22 Python – Interpretability.mp4 (87.88 MB)
23 TFT – Pros and Cons.mp4 (16.45 MB)
24 TFT Key Takeaways.mp4 (17.26 MB)
1 Project Presentation Multiple Series with TFT.mp4 (23 MB)
2 Python Solutions – TFT Model.mp4 (295.04 MB)
3 Python Solutions – Cross-Validation.mp4 (33.19 MB)
4 Python Solutions – Parameter Tuning.mp4 (149.76 MB)
5 Python Solutions – Predict The Future.mp4 (100.39 MB)
1 Game plan for N-BEATS.mp4 (30.75 MB)
2 Introduction to N-BEATS.mp4 (47.85 MB)
3 N-BEATS Architecture.mp4 (60.91 MB)
4 Python – Setup.mp4 (88.04 MB)
5 Python – Series.mp4 (102.28 MB)
6 Python – Past Covariates.mp4 (28.79 MB)
7 Python – Scaling.mp4 (36.1 MB)
8 N-BEATS Model Parameters.mp4 (46.68 MB)
9 Python – N-BEATS Model.mp4 (80.84 MB)
10 Python – Cross-Validation.mp4 (38.91 MB)
11 Python – Cross-Validation Results and Visualization.mp4 (218.93 MB)
12 Python – Parameters.mp4 (84.27 MB)
13 Python – Parameter Tuning.mp4 (59.52 MB)
14 Python – Best Parameters.mp4 (103.64 MB)
15 Python – Tuned N-Beats model.mp4 (74.07 MB)
16 Python – Predicting the future.mp4 (78.31 MB)
17 N-Beats Pros and Cons.mp4 (28.23 MB)
18 What did we learn with N-Beats.mp4 (22.97 MB)
1 Advanced Content for Time Series Forecasting Overview.mp4 (10.29 MB)
1 Game Plan for Amazon Chronos.mp4 (16.55 MB)
2 Introduction to Amazon Chronos.mp4 (48.76 MB)
3 Amazon Chronos Architecture.mp4 (60.19 MB)
4 Python – Setup.mp4 (70.34 MB)
5 Python – Dates.mp4 (120.31 MB)
6 Amazon Chronos Parameters.mp4 (30.21 MB)
7 Python – Amazon Chronos Model.mp4 (136.07 MB)
8 Python – Cross-Validation part 1.mp4 (166.92 MB)
9 Python – Cross-Validation part 2.mp4 (148.17 MB)
10 Python – Cross-Validation part 3.mp4 (141.45 MB)
11 Python – Parameter Tuning.mp4 (166.28 MB)
12 Python – Tuned Amazon Chronos Model.mp4 (132.28 MB)
13 Python – Visualizing the Forecast.mp4 (98.28 MB)
14 Amazon Chronos Pros and Cons.mp4 (20.8 MB)
15 What did we learn with Amazon Chronos.mp4 (10.14 MB)
1 Game Plan for Amazon AutoGluon.mp4 (40.68 MB)
2 Introduction to Amazon AutoGluon and Presets.mp4 (58.38 MB)
3 Python – Libraries and Data.mp4 (58.53 MB)
4 Python – Data Processing.mp4 (102.59 MB)
5 Python – Amazon AutoGluon model.mp4 (113.19 MB)
6 Python – Amazon AutoGluon model outcome.mp4 (94.37 MB)
7 Python – Amazon AutoGluon with Covariates.mp4 (73.21 MB)
8 Python – Amazon AutoGluon Final Model Outcome.mp4 (154.28 MB)
9 Python – Interpretability.mp4 (119.93 MB)
10 Amazon AutoGluon Recap Key Learning.mp4 (27.22 MB)
1 Project Presentation Build an Automated Time Series Forecasting Model.mp4 (46.57 MB)
2 Python – Build an Automated Time Series Forecasting Model Part 1.mp4 (138.35 MB)
3 Python – Build an Automated Time Series Forecasting Model Part 2.mp4 (228.3 MB)
4 Python – Build an Automated Time Series Forecasting Model Part 3.mp4 (80.71 MB)
5 Python – Build an Automated Time Series Forecasting Model Part 4.mp4 (200.63 MB)
6 Python – Build an Automated Time Series Forecasting Model Part 5.mp4 (230.47 MB)
7 Python – Build an Automated Time Series Forecasting Model Part 6.mp4 (188.03 MB)
8 Python – Build an Automated Time Series Forecasting Model Part 7.mp4 (105.57 MB)
1 Python for Data Analysis Overview.mp4 (29.23 MB)
3 Setting up Google Colab.mp4 (86.97 MB)
4 Setting up Jupyter Notebook.mp4 (175.05 MB)
1 Game Plan for Python – Essentials.mp4 (10.44 MB)
2 Print Function.mp4 (19.55 MB)
3 Python – Print Function.mp4 (47.17 MB)
8 Python Solutions Print Function.mp4 (35.34 MB)
9 Input Function.mp4 (11.01 MB)
10 Python Input Function.mp4 (26.52 MB)
11 Python Solutions Input Function.mp4 (15.78 MB)
12 CHALLENGE Your Superhero Name.mp4 (21.79 MB)
13 Variable Types.mp4 (15.96 MB)
14 Python Variable Types.mp4 (35 MB)
16 Python Solutions Variable Types.mp4 (28.93 MB)
17 Arithmetic Operators.mp4 (22.24 MB)
18 Python Arithmetic Operators.mp4 (28.42 MB)
21 Python Solutions Arithmetic Operators.mp4 (61.22 MB)
22 Comparison Operators.mp4 (16.53 MB)
23 Python Comparison Operators.mp4 (15.2 MB)
27 Python Solutions Comparison Operators.mp4 (11.84 MB)
28 CHALLENGE Split Bill Calculator.mp4 (72.63 MB)
29 If-else Conditions.mp4 (24.39 MB)
30 Python If-else Conditions.mp4 (28.95 MB)
32 Python Solutions If-else conditions.mp4 (49.23 MB)
33 CHALLENGE Berghain Club Bouncer.mp4 (88.44 MB)
34 CHALLENGE Your Monthly Savings Plan.mp4 (138.17 MB)
35 Wrap up Python Essentials.mp4 (12.61 MB)
37 Atomic Habits, by James Clear.mp4 (86.25 MB)
1 Game Plan for Python Intermediate.mp4 (17.2 MB)
2 While Loops.mp4 (11.33 MB)
3 Python While Loops.mp4 (32 MB)
5 Python Solutions Countdown Timer.mp4 (18.59 MB)
6 Lists.mp4 (20.8 MB)
7 Python – Lists.mp4 (40.99 MB)
9 Python Solutions Expense Report.mp4 (22.81 MB)
11 Python Solutions Fibonacci Numbers.mp4 (23.99 MB)
12 Randomization.mp4 (22.31 MB)
13 Python Randomization.mp4 (45.2 MB)
15 Python Solutions Pick My Next Movie.mp4 (40.29 MB)
16 CHALLENGE Read My Mind.mp4 (138.19 MB)
17 Dictionaries.mp4 (10.47 MB)
18 Python Dictionaries.mp4 (29.09 MB)
19 EXERCISE Magical Pet Dictionary.mp4 (54.57 MB)
20 CHALLENGE The Budgeting Mastermind.mp4 (144.05 MB)
21 For Loops.mp4 (11.9 MB)
22 Python For Loops.mp4 (18.64 MB)
23 EXERCISE Sum of Numbers.mp4 (50.21 MB)
24 EXERCISE Count the Number of Characters.mp4 (40.27 MB)
25 CHALLENGE Treasure Hunter.mp4 (111.09 MB)
26 Functions.mp4 (22.01 MB)
27 Python Functions.mp4 (40.76 MB)
29 Python Solutions Adding Numbers.mp4 (13.06 MB)
31 Python Solutions Counting Vowels.mp4 (22.07 MB)
33 Pythol Solutions Fahrenheit to Celsius.mp4 (54.9 MB)
34 CHALLENGE Recipe Converter.mp4 (161.78 MB)
35 Wrap Up Python Intermediate.mp4 (17.63 MB)
37 Limitless, by Jim Kwik.mp4 (48.41 MB)
1 Project Presentation Virtual Escape Game.mp4 (28.27 MB)
2 Python – Virtual Escape Game Solutions part 1.mp4 (112.23 MB)
3 Python – Virtual Escape Game Solutions part 2.mp4 (113.59 MB)
4 Python – Solving with ChatGPT.mp4 (216.28 MB)
1 Game Plan for Pandas.mp4 (10.27 MB)
2 Pandas Overview.mp4 (29.96 MB)
3 Python Importing and Exporting Data.mp4 (77.6 MB)
4 Python Sorting and Filtering Data with Pandas.mp4 (80.3 MB)
9 Python Solutions Sorting and Filtering Data with Pandas.mp4 (54.88 MB)
10 Python Data Cleaning and Preparation.mp4 (101.48 MB)
14 Python Solutions Data Cleaning and Preparation.mp4 (44.4 MB)
15 Python Data Manipulation.mp4 (68.91 MB)
20 Python Solutions Data Manipulation.mp4 (134.98 MB)
21 Python Data Analysis.mp4 (69.57 MB)
25 Python Solutions Data Analysis.mp4 (105.09 MB)
26 Python Data Visualization with Pandas.mp4 (71.94 MB)
27 EXERCISE Data Visualization with Pandas.mp4 (60.63 MB)
28 Wrap Up Pandas.mp4 (16.81 MB)
1 Challenge Presentation Pandas.mp4 (16.58 MB)
2 Python – Importing Data.mp4 (35.87 MB)
3 Python – Sorting and Filtering Data.mp4 (55.14 MB)
4 Python – Data Cleaning and Preparation.mp4 (129.37 MB)
5 Python – Data Manipulation.mp4 (110.44 MB)
6 Python – Data Analysis.mp4 (72.03 MB)
7 Python – Data Visualization with Pandas.mp4 (81.7 MB)]
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Master System Design and Design Pattern


Master System Design and Design Pattern
Last updated 2023-01-26
Duration: 08:25:51 | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.46 GB
Genre: eLearning | Language: English​

System Design and Architecture, HLD & LLD, Design Patterns for Distributed Systems, Object-Oriented Design Patterns
What you’ll learn
Advance System Design Course
Perform real-world industrial projects and use-cases.
Best Interview Preparation Course trained by Top Experts
Get Assured Interview Call from Top Recruiters
Requirements
Basic Programming Knowledge
Description
This course explains all the deep concepts of scalable system design problems and design patterns. These problems are frequently asked during interviews. It also explains all core components of distributed system.
This course is for students in colleges preparing for campus placements and also for working professional who wants to crack interviews in top tech product-based companies.

What is the System Design course?

A System Design course typically covers the process of designing complex systems, including the techniques and methodologies used to gather and analyze system requirements, design system architecture, and evaluate and optimize system performance. The course may also cover topics such as system modeling and simulation, system testing and validation, and project management.

How system design course help to get placed in top tech companies?

A System Design course can provide professionals with the knowledge and skills needed to succeed in roles related to designing and building large-scale systems. By learning about the techniques and methodologies used to gather and analyze system requirements, design system architecture, and evaluate and optimize system performance, students will be better equipped to design, build, and maintain complex systems. Additionally, by learning about system modeling and simulation, system testing and validation, and project management, students will be better equipped to manage and lead projects related to system design and development. These skills are in high demand in top tech companies and can help students stand out in the job market and increase their chances of getting hired by a top company.
Also, being familiar with industry standard tools like UML, design patterns, and software development methodologies like Agile, Scrum, etc. are highly valued by top tech companies as they are widely used in industry.
In summary, a System Design course will provide students with a strong foundation in the concepts and skills needed to design and build large-scale systems, which can make them more attractive to top tech companies looking for candidates with experience in this area.

Who this course is for:
Candidates curious to learn System Design
Working professionals preparing for interviews of Top tech companies
Candidate who want to crack System Design Interview

More Info

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Master MongoDB: Cloud Based NoSQL Database Management


Master MongoDB: Cloud Based NoSQL Database Management
Published 8/2025
Duration: 2h 44m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 641.59 MB
Genre: eLearning | Language: English​

A complete guide to mastering MongoDB for cloud based development, data modeling, and real time applications.

What you’ll learn

  • What is NoSQL? Types of NoSQL Databases (document, key-value, columnar, graph)
  • Introduction to MongoDB
  • Advantages and Disadvantages of NoSQL databases
  • Installation and Configuration of MongoDB
  • MongoDB Shell and Basic Commands
  • Data Modeling with MongoDB (documents, collections, databases)
  • Data Types in MongoDB
  • Basic Queries (find, findOne)
  • Query Operators (comparison, logical, array, element)
  • Aggregation Stages (match, group, project, sort, limit)
  • Data Aggregation Examples (e.g., calculating averages, finding top values)
  • Indexing in MongoDB
  • Creating and Managing Indexes
  • Query Performance Optimization
  • DataBackup and Recovery
  • Authentication and Authorization
  • Encryption and Data Security

Requirements
– No MongoBD experience needed

Description
Are you ready to master the most popular NoSQL database and take your backend development skills to the next level?

Welcome to Master MongoDB: Cloud Based NoSQL Database Management, a complete, hands-on course that teaches you how to design, build, and manage modern, scalable databases using MongoDB, the industry leading NoSQL solution.

Whether you’re a developer, data engineer, or aspiring backend professional, this course will equip you with practical skills to manage MongoDB locally and in the cloud (using MongoDB Atlas), integrate it with your apps, and structure data for real world scalability and performance.

What You’ll Learn

The fundamentals of NoSQL and how MongoDB differs from relational databases

Installing MongoDB locally and using cloud hosted MongoDB Atlas

Working with MongoDB Shell, Compass GUI, and MongoDB Atlas UI

Understanding documents, collections, and database design best practices

Performing CRUD operations (Create, Read, Update, Delete)

Designing complex queries with filtering, sorting, projection, and aggregation

Indexing for performance and query optimization

Data validation, schema design, and relationships using embedded and referenced documents

Securing, backing up, and deploying MongoDB databases in production

Why MongoDB? Why This Course?

MongoDB is used by top companies like Google, Adobe, Uber, and eBay. It’s the go to solution for applications that require flexibility, horizontal scaling, and cloud native performance.

This course focuses on hands-on practice, real world use cases, and cloud based deployment, not just theory. You’ll walk away with the skills to confidently design and manage MongoDB databases that power real apps.

What’s Included

Step-by-step video tutorials for beginners to advanced users

Lifetime access

Certificate of Completion

Ready to Become a MongoDB Expert?

Join and start building powerful, data driven applications using one of the most in-demand technologies today.

Click Enroll Now and take your database skills to the cloud with MongoDB!

Who this course is for:

  • Anyone looking to become proficient in database management for modern apps
  • Students, engineers, and IT professionals interested in scalable cloud-based data storage
  • Backend and full-stack developers who want to integrate MongoDB into their applications
  • Frontend developers who want to understand and connect to NoSQL databases

More Info

Please check out others courses in your favourite language and bookmark them
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