DevSecOps Bootcamp

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https://www.techworld-with-nana.com/devsecops-bootcamp

Duration : ~27h
Type of material distributed : Video lesson
Language : En

Stand out and 10x your value with this in-demand skills. Cybercrime is expected to cost companies 10.5 Trillion annually. With the rate of attacks increasing, the demand for DevSecOps skills is at an all-time high. Be recognized as a top tech professional and land high-paying jobs
Integrate Security in every step of DevOps
You will learn
DevSecOps concepts, like SAST, SCA, DAST and Security as Code
Various Security Scanning Tools, like GitLeaks, Semgrep, njsScan, RetireJS, Zap, Trivy, TFSec
Secrets Management with Vault, KMS
Various DevSecOps tools: DefectDojo, Vault, AWS Secrets Manager, InSpec
Concepts and Tools for Observability, GitOps, Cloud Security, Image Security
Compliance as Code, Policy as Code
Roles and Responsibilities in DevSecOps in practice
You will be able to
Implement complete DevSecOps processes at your work
Build secure CI/CD pipelines
Drive adoption of DevSecOps at your company
Automate security checks to prevent workflow bottlenecks
Detect, visualize, analyze and remediate security vulnerabilities
Secure AWS Cloud and write secure IaC
Secure Kubernetes cluster with automation and security best practices

Content
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Example files : present
Video format : MP4
Video : AVC, 2560×1440, 16:9, 30fps, ~300kbps
Audio : AAC, 48kHz, 192kbps, stereo

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆

techworld-with-nana – devsecops-bootcamp-video (7.14 GB)
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https://rapidgator.net/file/cd54efb871fc86cd8c9b709d93a52c17/techworld-with-nana.-.devsecops-bootcamp-video.part2.rar
https://rapidgator.net/file/d45a84f0dd8ffa660071d5678646bd53/techworld-with-nana.-.devsecops-bootcamp-video.part3.rar
https://rapidgator.net/file/bc8876c022a11b0e17fd35f2ae709673/techworld-with-nana.-.devsecops-bootcamp-video.part4.rar

ClickNUpload Link(s)
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DevOps Engineer: Docker, Kubernetes, Jenkins, Terraform, AWS


Published 9/2025 Created by Uplatz Training MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 94 Lectures ( 49h 46m ) | Size: 21.5 GB​

Master DevOps with Docker, Kubernetes, Jenkins, AWS & Terraform through hands-on projects and real-world workflows

What you’ll learn
Explain the core principles of DevOps and its impact on modern software development and delivery.
Work confidently with Linux and WSL, mastering essential shell commands, scripting, and system administration.
Use Git for version control, branching, merging, and resolving conflicts in collaborative workflows.
Design and implement CI/CD pipelines using Jenkins to automate builds, tests, and deployments.
Containerize applications with Docker, understanding images, containers, Dockerfiles, volumes, and networking.
Apply best practices in Dockerfile creation and manage real-world containerized development environments.
Orchestrate containerized workloads with Kubernetes, including Pods, Deployments, Services, and ConfigMaps.
Implement scalability and reliability in Kubernetes through ReplicaSets, Horizontal Pod Autoscaling, and Probes.
Secure Kubernetes clusters using RBAC and Network Policies to enforce least-privilege access control.
Package and manage applications on Kubernetes with Helm charts for efficient deployments.
Leverage AWS services (EC2, S3, RDS, CloudWatch) for cloud-native infrastructure and DevOps pipelines.
Implement Infrastructure as Code (IaC) with Terraform to provision and manage cloud resources consistently.
Monitor and visualize systems using Prometheus and Grafana to ensure observability and proactive issue resolution.
Integrate Jenkins with Docker, Kubernetes, and Git for end-to-end automated DevOps workflows.
Build and deploy real-world projects that demonstrate a complete DevOps toolchain from development to production.

Requirements
Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to The Complete DevOps Engineer Course: Docker, Kubernetes, Jenkins, AWS & Terraform course by Uplatz.The Complete DevOps Engineer Course: Docker, Kubernetes, Jenkins, AWS & TerraformModern software development demands speed, reliability, and collaboration. This comprehensive course takes you from the foundations of DevOps to mastering the tools and practices that power today’s most successful technology companies.You’ll start by understanding DevOps concepts-why it matters, how it transforms the Software Development Life Cycle (SDLC), and the culture of collaboration it creates. From there, you’ll build a strong foundation with Linux and WSL, essential for any DevOps professional, and manage source code using Git for version control.Next, you’ll dive into Continuous Integration and Continuous Delivery (CI/CD) with Jenkins, automating builds, testing, and deployments. You’ll then step into the world of Docker, learning to containerize applications for consistency and scalability, before progressing to Kubernetes, the industry standard for orchestrating containerized workloads in production.Cloud skills are essential for DevOps engineers, so you’ll gain hands-on experience with Amazon Web Services (AWS)-from compute (EC2) and storage (S3) to databases (RDS) and monitoring (CloudWatch). You’ll also learn to deliver reliable and repeatable infrastructure with Terraform, mastering Infrastructure as Code across multiple cloud environments.The course goes further with observability tools like Prometheus and Grafana to monitor and visualize system performance, and Helm to simplify Kubernetes application management.By the end of this course, you’ll be able toesign and automate CI/CD pipelines with Jenkins.Build and run applications in Docker containers.Deploy, scale, and manage workloads with Kubernetes.Work confidently with AWS services for cloud-native DevOps.Implement Infrastructure as Code using Terraform.Monitor and secure your systems with Prometheus, Grafana, and RBAC.Whether you are a beginner entering DevOps or an IT professional looking to upskill, this course equips you with end-to-end DevOps expertise through hands-on projects, real-world examples, and best practices.Take the step toward becoming a skilled DevOps Engineer ready for high-demand roles in today’s cloud-driven world.DevOps ConceptsDevOps is a culture and set of practices that bridge the gap between software development and IT operations. It focuses on collaboration, automation, continuous integration, and continuous delivery (CI/CD). The goal is to deliver software faster, more reliably, and with higher quality by combining development, testing, deployment, and monitoring into a unified workflow.Linux and WSLLinux is the backbone of most DevOps environments, providing powerful tools for automation, scripting, and system administration. Windows Subsystem for Linux (WSL) allows running Linux distributions on Windows without a virtual machine, making it easier for developers to practice Linux skills directly on their Windows systems.Git and Version ControlGit is a distributed version control system that enables teams to track changes in code, collaborate efficiently, and manage software versions. Paired with GitHub or other repositories, Git supports branching, merging, and collaborative workflows that are critical in modern DevOps pipelines.JenkinsJenkins is a widely used open-source automation server for building, testing, and deploying software. It enables Continuous Integration (CI) and Continuous Delivery (CD) by automating workflows through pipelines, plugins, and integrations with other tools. Jenkins helps ensure code changes are tested and delivered quickly and reliably.DockerDocker is a containerization platform that packages applications and their dependencies into lightweight, portable containers. Containers ensure that applications run consistently across environments, from development to production. Docker simplifies deployment, improves scalability, and is fundamental to cloud-native and microservices architectures.KubernetesKubernetes (K8s) is an open-source platform for automating the deployment, scaling, and management of containerized applications. It provides orchestration features such as load balancing, service discovery, rolling updates, and self-healing. Kubernetes is the industry standard for managing containerized workloads in production environments.AWS (Amazon Web Services)AWS is the world’s leading cloud platform, offering infrastructure and platform services on demand. DevOps engineers use AWS services like EC2 (compute), S3 (storage), RDS (databases), and CloudWatch (monitoring) to build scalable, secure, and flexible systems. AWS is essential for implementing cloud-native DevOps practices and CI/CD pipelines.Prometheus and GrafanaPrometheus is an open-source monitoring system that collects time-series data on system and application performance. Grafana is a visualization tool that turns this data into dashboards for real-time monitoring and alerting. Together, they provide observability into DevOps workflows, helping identify and resolve issues quickly.TerraformTerraform is an Infrastructure as Code (IaC) tool that enables DevOps teams to define and provision cloud resources using declarative configuration files. It works across multiple cloud providers (AWS, Azure, GCP), ensuring consistent infrastructure deployment, scalability, and version control for infrastructure resources.HelmHelm is a package manager for Kubernetes that simplifies deploying and managing applications on a Kubernetes cluster. With Helm charts, DevOps engineers can standardize, version, and reuse complex Kubernetes configurations, making application delivery faster and more manageable.In SummaryThis course covers the full DevOps toolchain: from foundational concepts (DevOps, Linux, Git) to essential CI/CD tools (Jenkins), containerization (Docker), orchestration (Kubernetes, Helm), cloud platforms (AWS), monitoring (Prometheus, Grafana), and Infrastructure as Code (Terraform). Together, these technologies provide a comprehensive skill set for any aspiring or practicing DevOps engineer.The Complete DevOps Engineer Course: Docker, Kubernetes, Jenkins, AWS & Terraform – Course CurriculumTopic 1: DevOps FoundationsSession 1: What is DevOpsSession 2: What is SDLCSession 3: Why DevOps is RequiredSession 4: Overview of Different DevOps ToolsTopic 2: Linux and WSL EssentialsSession 5: Why Learning Linux is Essential for DevOps ProfessionalsSession 6: Introduction to Linux and WSLSession 7: WSL Installation And Setup GuideSession 8: Essential Shell Commands for Ubuntu (Part 1)Session 9: Essential Shell Commands for Ubuntu (Part 2)Session 10: Ubuntu File System And WSL IntegrationSession 11: From Nano to Vim to VS CodeSession 12: Bash Scripting in WSLSession 13: Networking in WSLTopic 3: Source Control and CI/CD BasicsSession 14: Version Control Systems Using GitSession 15: Git Branching, Merging, GitHub, Merge Conflicts and .gitignoreSession 16: CI/CD ConceptsTopic 4: Jenkins FoundationsSession 17: Introduction to CI/CD JenkinsSession 18: Jenkins Installation and ConfigurationSession 19: Jenkins EssentialSession 20: Jenkins Pipeline as CodeTopic 5: Networking for DevOpsSession 21: Network Fundamentals for DevOps – Part 1Session 22: Network Fundamentals for DevOps – Part 2Topic 6: Docker FundamentalsSession 23: Introduction to DockerSession 24: Docker Basics – Essential Commands and Container Management (Part 1)Session 25: Docker Basics – Essential Commands and Container Management (Part 2)Topic 7: Docker Images and DockerfileSession 26: Working with Docker Images (Part 1)Session 27: Working with Docker Images (Part 2)Session 28: Working with Docker Images (Part 3)Session 29: Custom Docker ImagesSession 30: Advanced Dockerfile InstructionsSession 31: Dockerfile Best PracticesTopic 8: Docker Data ManagementSession 32: Managing Data in DockerSession 33: Working with Docker VolumesSession 34: Understanding Bind MountsSession 35: Real-World Example – Web Development EnvironmentSession 36: Troubleshooting Common Issues for Docker DataTopic 9: Docker Networking, Compose and DebuggingSession 37: Docker NetworkingSession 38: Docker ComposeSession 39: Docker Debugging and LogsSession 40: Docker Image ManagementSession 41: Docker for DevelopmentSession 42: Docker Tips and Best PracticesTopic 10: Docker CapstoneSession 43: Docker Real-World ProjectTopic 11: Version Control Deep DiveSession 44: Introduction to Version Control Systems (extra)Session 45: Git Installation and Configuration (extra)Session 46: Git Core CommandsTopic 12: Jenkins Integrations and OperationsSession 47: Jenkins with Docker – Step-by-Step TutorialSession 48: How to Secure Docker with JenkinsSession 49: Configuring Git SCM in JenkinsSession 50: Jenkins Basic Plugin ManagementSession 51: Jenkins NotificationsTopic 13: Kubernetes FoundationsSession 52: What is KubernetesSession 53: Kubernetes Key Concepts and TerminologySession 54: Kubernetes Architecture OverviewSession 55: Installing Kubernetes (Local Setup)Session 56: First Hands-On Steps with Kubernetes Using MinikubeTopic 14: Kubernetes Workloads and ServicesSession 57: Kubernetes Pods in DepthSession 58: Kubernetes DeploymentsSession 59: Kubernetes ServicesSession 60: Kubernetes Labels and SelectorsTopic 15: Kubernetes Namespaces, Data and ConfigSession 61: Kubernetes NamespacesSession 62: Running MySQL with KubernetesSession 63: Kubernetes ConfigMaps & SecretsSession 64: Kubernetes Volumes Tutorial – Part 1 – Basic VolumesSession 65: Kubernetes Volumes Tutorial – Part 2 – Persistent StorageSession 66: Kubernetes Volumes Tutorial – Part 3 – StorageClassTopic 16: Kubernetes Reliability and Workload ManagementSession 67: Kubernetes Probes – Liveness, Readiness, StartupSession 68: Kubernetes Resource ManagementSession 69: Kubernetes ReplicaSets and Horizontal Pod Autoscaling (HPA)Session 70: Kubernetes Job and CronJobTopic 17: Kubernetes Security and NetworkingSession 71: Kubernetes RBAC TutorialSession 72: Kubernetes Network PoliciesTopic 18: Kubernetes ObservabilitySession 73: Kubernetes Logs and MonitoringTopic 19: Helm and Application DeliverySession 74: Introduction to HelmSession 75: Simple Web App Deployment on KubernetesTopic 20: CI/CD with KubernetesSession 76: CI/CD with KubernetesTopic 21: AWS FoundationsSession 77: Introduction to AWSSession 78: Introduction to AWS Management Console and AWS CLITopic 22: AWS Core ServicesSession 79: Amazon EC2Session 80: Amazon S3Session 81: Amazon RDSSession 82: AWS CloudWatchTopic 23: CI/CD on AWSSession 83: CI/CD on AWSTopic 24: Observability with Prometheus and GrafanaSession 84: Monitoring and Logging with Prometheus & Grafana – Part 1 – FoundationsSession 85: Monitoring and Logging with Prometheus & Grafana – Part 2Session 86: Monitoring Tutorial Series (Part 3) – OverviewSession 87: Monitoring Tutorial – Part 3A Basic SetupSession 88: Monitoring Tutorial – Part 3B Prometheus SetupSession 89: Monitoring Tutorial – Part 3C Grafana DashboardsSession 90: Monitoring Tutorial – Part 3D Advanced MonitoringTopic 25: Infrastructure as Code with TerraformSession 91: Getting Started with Terraform (Part 1)Session 92: Working with Variables and Outputs (Part 2)Session 93: Understanding State and Basic AWS (Part 3)Session 94: Building Real Infrastructure and Best Practices (Part 4)

Who this course is for
Aspiring DevOps Engineers – beginners who want to break into DevOps and gain a full-stack skill set.
Software Developers – looking to streamline deployments and adopt DevOps practices in their workflows.
System Administrators & IT Operations Professionals – transitioning to modern DevOps, CI/CD, and cloud-native technologies.
Cloud Engineers & Solution Architects – who need hands-on expertise in Docker, Kubernetes, and AWS.
QA/Test Engineers – aiming to automate testing pipelines and integrate with CI/CD workflows.
IT Students & Graduates – seeking industry-ready skills to launch a career in DevOps and cloud engineering.
Freelancers & Consultants – who want to deliver scalable, automated solutions to clients.
Anyone Interested in Cloud and Automation – professionals exploring DevOps as part of digital transformation initiatives.

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

Happy Learning!!


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Designing Stylized 3D Characters


4.59 GB | 1h 7min 15s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Blockout.mp4 (300.44 MB)
2 -Head Sculpt.mp4 (485.73 MB)
3 -Hair Sculpt.mp4 (64.05 MB)
4 -Body Sculpt.mp4 (232.93 MB)
5 -Cloth Blockout.mp4 (401.32 MB)
6 -Clean up your model.mp4 (396.06 MB)
7 -Body Retopology.mp4 (199.41 MB)
1 -UVs and Bake.mp4 (155.79 MB)
2 -Texture.mp4 (230.94 MB)
1 -Introduction to Houdini and Karma.mp4 (359.36 MB)
2 -Guide work.mp4 (297.35 MB)
3 -Hair Gen.mp4 (1.05 GB)
4 -Pose and Render.mp4 (502.82 MB)]
Screenshot

Designing and Implementing a Data Science Solution on Azure


Designing and Implementing a Data Science Solution on Azure
Duration: 34m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 216 MB
Genre: eLearning | Language: English​

If you want to learn the Designing and Implementing a Data Science Solution on Azure concepts, this course is for you!

What you’ll learn:
You will learn the Designing and Implementing a Data Science Solution on Azure concepts
You will have the clear understanding of the all core concepts
You will have some real time examples that will help you to understand the concepts
You will be more knowledgeable after going through this course

Requirements:
No Prerequisites

Description:
In this course, you will be learning many concepts related to Microsoft’s DP-100 Designing and Implementing a Data Science Solution on Azure. This course will be helpful to acquire the all the crucial knowledge in Microsoft’s DP-100 Designing and Implementing a Data Science Solution on Azure. You will be more knowledgeable after completing this course. you will be confident in Azure after this course.
This course is designed to help you to learn the for Microsoft’s DP-100 Designing and Implementing a Data Science Solution on Azure concepts. Even if you plan to master these concepts, this courses and hands-on labs will help you gain a solid understanding of how to architect a variety of Azure services.
This is intended for helping those who plan to acquire the knowledge for Microsoft’s DP-100 Designing and Implementing a Data Science Solution on Azure concepts. It provides the all of the concepts from basic to intermediate and some advanced concepts. You will be more knowledgeable after this course. You can understand the all of the concepts in Azure how to fix the issues if there is any issue occurring while working in the Microsoft’s DP-100 Designing and Implementing a Data Science Solution on Azure.

Learning Objectives

Manage Azure resources for machine learning
Run experiments and train models
Deploy and operationalize machine learning solutions
Implement responsible machine learning

Who this course is for:
If you want to learn the Designing and Implementing a Data Science Solution on Azure concepts, then this course is for you!

More Info


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Design a Website Template using HTML5 & CSS3


Design a Website Template using HTML5 & CSS3
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 6.20 GB | Duration: 11h 41m​

Learn how to create a website template from scratch just using HTML and CSS

What you’ll learn
How to create a web template from scratch
Using semantic elements in HTML
Defining rules in CSS to style the template
Use the best selectors in CSS
How to use flexbox in designing web template

Requirements
At least intermediate level knowledge of HTML & CSS
Any computer: Windows , Linux or Mac
A web browser and a code editor ( VS Code is preferred)

Description
Welcome to the short course on creating a template for an educational website.If you already know HTML5 and CSS3 but have not yet learned JavaScript, but you would like to design a web template with your knowledge, good news, this is the right training course made for you.In this course, I am going to create a simple and beautiful template from scratch and discuss all the points related to designing templates for websites.In this course, no special framework such as Bootstrap or similar is used to design the template, and the template is completely static and designed only with HTML and CSS.In addition, HTML semantic elements are used to form different parts of the template.This template includes the following features:The header section of the site, which includes the register and login button, the logo and the main menu of the siteThe body part of the site, which includes the introduction, the search form, displaying statistical information, the About Us box, and the list of the latest coursesThe footer section of the site that includes links to social networks and useful links and contact informationIn addition, the following items have been used in the design of different sectionsFlexbox Google icons and themify iconsSemantic elements including: header, nav, main, section, article, footer, addressIn this course, I have tried to express the content in a simple and understandable way, and there is even trial and error when styling different parts, , so that you know how you can improve the design.If you want to know how to design a beautiful template from scratch without any dependence on JavaScript and only with HTML and CSS, I recommend you to participate in this course.

Who this course is for:
Any one who wants to work as front-end developer or even full-stack developer, Any one who wants to learn how to create a web template

For More Courses Visit & Bookmark Your Preferred Language Blog
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Deploying Layer 2 Switching for Cisco NetWorks


Released 4/2025 By Brad Edgeworth MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 3h 26m | Size: 1.54 GB​

Enhance your Cisco networking skills by mastering Layer 2 switching, VLANs, STP, EtherChannel, and advanced configurations with this comprehensive, expert-led video course.

This course is designed for network professionals who wants to gain deep understanding of Layer 2 switching technologies in Cisco environments. It provides clear and detailed lessons on essential topics such as traffic forwarding, packet forwarding, and core Layer 2 forwarding concepts.

You will learn about VLANs (Virtual Local Area Networks), how to configure them, and the importance of VLAN trunking. This course also covers key protocols such as the VLAN Trunking Protocol (VTP) and Dynamic Trunking Protocol (DTP), as well as switch port types. A major focus is on the Spanning Tree Protocol (STP), including how to build and troubleshoot STP topologies, and advanced topics such as Per VLAN Spanning Tree (PVST), PVST+, Rapid Spanning Tree Protocol (RSTP), and Multiple Spanning Tree Protocol (MSTP). You will also learn how to optimize your STP topology to ensure better network performance.

In addition, the course covers EtherChannel, explaining how to create EtherChannel bundles using Static EtherChannel, Port Aggregation Protocol (PAgP), and Link Aggregation Control Protocol (LACP). You will learn how to implement and troubleshoot EtherChannel bundles to achieve load balancing and improve network throughput.

By the end of this course, you will be equipped with the skills needed to configure, optimize, and troubleshoot Cisco Layer 2 networks. Whether you are aiming for certification or looking to enhance your network management skills, this course offers valuable insights for mastering Layer 2 switching in Cisco networks.

Learn How to

Master Layer 2 switching fundamentals and understand the key role of VLANs, STP, and EtherChannel in optimizing Cisco network performance
Efficiently configure and manage VLANs, VLAN trunking, and switch port types to improve traffic segmentation, network efficiency, and security
Implement VLAN Trunking Protocol (VTP) and Dynamic Trunking Protocol (DTP) to streamline VLAN management and dynamic trunking across Cisco switches
Fully understand and configure Spanning Tree Protocol (STP) to prevent network loops and ensure a stable, loop-free network topology
Build, optimize, and troubleshoot STP topologies using advanced protocols such as PVST, PVST+, RSTP, and MSTP for improved network reliability and convergence
Enhance network performance by optimizing STP convergence times and minimizing downtime with advanced configuration techniques
Configure and manage EtherChannel bundles using PAgP and LACP to increase bandwidth, link redundancy, and overall network performance
Troubleshoot and resolve common EtherChannel configuration issues to ensure a reliable, high-performance network connection
Apply EtherChannel load balancing techniques to distribute traffic efficiently and optimize bandwidth across multiple network links
Implement best practices for Layer 2 switching and VLAN configuration to maximize network security, performance, and stability
Troubleshoot common Layer 2 network issues, including spanning tree problems and EtherChannel misconfigurations, to maintain continuous network uptime
Who Should Take This Course

The course is for network engineers, system administrators, IT professionals, and entry-level technicians looking to enhance their skills in deploying and managing Layer 2 switching in Cisco environments. It is also ideal for those preparing for Cisco certifications like CCNA or CCNP.


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Deploy FastAPI, React, PostgreSQL Apps on Amazon Cloud (AWS)


Deploy FastAPI, React, PostgreSQL Apps on Amazon Cloud (AWS)
Published 6/2024
Duration: 2h48m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.91 GB
Genre: eLearning | Language: English​

Deploy a Full Stack app on AWS that is scalable, uses a custom domain, SSL, HTTPS, Continuous Integration and Delivery

What you’ll learn
Deploy your Full Stack Python FastAPI, React and PostgreSQL Apps Online to AWS
Learn to Deploy your FastAPI applications so the whole world can use YOUR app!
Create a custom Domain Name that points to your Full Stack application.
This course will INSTANTLY set you apart from the competition!
I am a RESPONSIVE INSTRUCTOR . post your questions and I will RESPOND in 24 hours
You can DOWNLOAD all source code. Perfect for offline LEARNING and REVIEW.

Requirements
Basic FastAPI knowledge is required.
Basic React knowledge will be helpful.
No previous experience with Amazon Cloud (AWS) needed.
Free AWS developer account requires a credit card for registration (no charges to card, verification only).

Description
Learn how to BUILD and DEPLOY a Full Stack application using AWS, FastAPI, React and PostgreSQL!

AWS
(amazon web services) is one of the
hottest and most in-demand technologies
on the market.
By the end of this course, you will have built and deployed your
own scalable production ready applications
, that leverages the power of
AWS, FastAPI, React and PostgreSQL.

There are tons of tutorials, but how many actually show you how to
build and deploy an entire application step-by-step
so the whole world can use what
YOU
created?

Being able to leverage AWS into your application can improve the job you have, get you a new job, or even
create a startup / contract roles!
These skills are highly sought after with some of the highest paying job postings are asking for
AWS, Python & FastAPI
experience.
In this
complete AWS Deployment course
you will quickly get caught up to speed by locally building/setting up a social media app that I created for this course. We will deploy this app and you can use this app as a starting place for future projects you want to create! Whether you are wanting to expand your current craft, want to change careers or simply wanting to learn a new fast growing piece of technology, then this course if for you. You will be using all modern AWS services that include:
RDS, EC2, Elastic Beanstalk, Route 53, Hosted Zones, Amplify, Code Pipeline and more!
This course is designed with intermediate programmers in mind! This means we don’t walk through all of the code, but you are expected to be able to read the code if you’d like. This way, we can dive right into AWS services and working on setting up your infrastructure.

In this course, you will get (not only):

  • All source code is available for download
  • Responsive

More Info

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Definitive Certification Course on Real Estate Investing


4.93 GB | 8min 29s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction.mp4 (27.06 MB)
2 The Pros and Cons of Real Estate Investing.mp4 (48.11 MB)
3 The ABCs of Real Estate Investing.mp4 (96.44 MB)
4 The Millionaire Real Estate Investor.mp4 (99.75 MB)
5 Real Estate Investing for Dummies.mp4 (99.98 MB)
6 2025, Your Year for Real Estate.mp4 (123 MB)
7 ChatGPT 5 and Data Analysis.mp4 (99.94 MB)
8 Buying Rental Properties.mp4 (102.11 MB)
9 Build a Rental Property Empire.mp4 (86.23 MB)
10 Real Estate Investing Basics.mp4 (90.4 MB)
11 How Pros Host on Airbnb.mp4 (62.03 MB)
12 The Top 1 of Airbnb Hosts & How they Generate Income.mp4 (53.75 MB)
13 Avoid Real Estate Investing Mistakes in Asia.mp4 (103.82 MB)
14 Asian Real Estate, how to Invest in Asia.mp4 (91.64 MB)
15 Flipping Houses.mp4 (95.78 MB)
16 More on House Flipping.mp4 (72.81 MB)
17 Rich Dad, Poor Dad.mp4 (97.53 MB)
18 Kevin’s Real Estate Investing Plan.mp4 (163.98 MB)
19 More than Cash Flow.mp4 (18.52 MB)
20 Real Estate.mp4 (73.96 MB)
21 The ABCs of Real Estate Investing.mp4 (92.79 MB)
22 How to Invest in Wholesale Real Estate.mp4 (89.58 MB)
23 Best Real Estate Investing for Beginners.mp4 (75.25 MB)
24 International Real Estate Investing.mp4 (76.87 MB)
25 2025 Real Estate Revival, More on Investing in Real Estate in 2025.mp4 (79.73 MB)
26 How to Write a Good ChatGPT Prompt (You can Generate Investing Ideas).mp4 (43.44 MB)
27 Real Estate Analysis Discussion – Cap Rate.mp4 (20.31 MB)
28 Construction Costs and Location.mp4 (30.28 MB)
29 Investing in Empty Houses in Japan (Akiya).mp4 (108.25 MB)
30 Why Invest in Real Estate.mp4 (61.96 MB)
31 Analyze Real Estate Investments.mp4 (78.91 MB)
32 Real Estate Analysis.mp4 (90.08 MB)
33 Invest in Real Estate without Owning Property.mp4 (52.88 MB)
34 Real Estate Ideas.mp4 (41.11 MB)
35 Commercial Real Estate Investing.mp4 (108.83 MB)
36 Long Distance Real Estate Investing.mp4 (97.04 MB)
37 Real Estate Riches.mp4 (90.9 MB)
38 What Every Real Estate Investor Needs to Know.mp4 (98.31 MB)
39 Boost your Airbnb Bookings.mp4 (124.54 MB)
40 Airbnb Business and Passive Income.mp4 (103.28 MB)
41 Whether to Buy or Not.mp4 (57.37 MB)
42 Airbnb Arbitrage vs Value Investing.mp4 (70.23 MB)
43 Airbnb Long Term or Short-term Rentals, Which is Better.mp4 (109.27 MB)
44 Is Airbnb Still Worth it.mp4 (64.16 MB)
45 Are you Making Money as an Airbnb Host.mp4 (140.58 MB)
46 Airbnb Hosting as your Side Hustle.mp4 (59.82 MB)
47 Why Start an Airbnb.mp4 (32.69 MB)
48 Starting my First Airbnb.mp4 (41.83 MB)
49 Avoid Sean Rakidzich.mp4 (55.29 MB)
50 Avoid Bookingcom!.mp4 (86.7 MB)
51 2025 Airbnb Business Accelerator for Beginners.mp4 (99.04 MB)
52 Contacting Guests Outside of Airbnb.mp4 (49.67 MB)
53 Learning from the Greatest Hosts on Airbnb.mp4 (163.97 MB)
54 Mistakes Airbnb Hosts Make.mp4 (74.95 MB)
55 Automate your Airbnb Business.mp4 (60.39 MB)
56 On Losing my House.mp4 (118.69 MB)
57 Think like a Billionaire.mp4 (73.27 MB)
58 How to get Rich.mp4 (73.56 MB)
59 One Rental at a Time.mp4 (96.52 MB)
60 The Book on Rental Property Investing.mp4 (96.3 MB)
61 The Book on Managing Rental Properties.mp4 (96.74 MB)
62 10 Day MBA.mp4 (54.85 MB)]
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Defending and Deploying AI


Published 09/2025 MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 14h 59m | Size: 3.36 GB​

Overview
Your full study resource to get started with AI models and best practices for AI security.

Description

Defending and Deploying AI is your key to harnessing AI tools for enhanced cybersecurity, networking, and programming. This comprehensive course gives you the training you need to stay ahead in the rapidly evolving tech landscape. Omar Santos, a Distinguished Engineer at Cisco and recognized author and expert in AI cybersecurity, provides the knowledge you need to get up and running as well as real-world hands-on activities to help you hone your practical skills.

This course includes the following coverage

AI-Enabled Programming, Networking, and Cybersecurity: Master AI tools for dynamic information retrieval, advanced automation, and more.
Securing Generative AI: Explore crucial security measures for AI deployments, including LLM security, prompt injection, and Red Team AI models.
Build Your Own AI Lab: Create secure AI research environments, both home-based and cloud-based, with guidance on hardware, software, and cost management.
AI Agents and Agentic RAG for Cybersecurity: Use LLMs for offensive and defensive cybersecurity operations, with hands-on labs and real-world examples.


Deepfakes & Voice Cloning: Machine Learning The Easy Way


Deepfakes & Voice Cloning: Machine Learning The Easy Way
Published 5/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1023.34 MB | Duration: 2h 28m​

Stable Diffusion, Midjourney, Generative AI, Fake News, +More for SEO, Internet Marketing, & Social Engineering!

What you’ll learn

Learn how to change lips / mouth movements for foreign film dubs

Voice cloning

TTS (text-to-speech)

Generate talking head videos with AI (artificial intelligence)

Make anyone say whatever you want

Change what someone says in a video

Convert an image of a person into a moving video (motion copying)

Requirements

Be comfortable with using a computer and Google Colab

Description

Unleash Your Creative Potential with DeepFakes MasteryUnlock the captivating power of DeepFakes and embark on a groundbreaking journey where reality and imagination intertwine. Dive into the world of voice cloning, seamless video manipulation, and awe-inspiring motion transfer. Welcome to our comprehensive DeepFakes Mastery course, where you’ll acquire the skills to bring your wildest visions to life.Why DeepFakes Mastery?Imagine having the ability to create jaw-dropping videos that defy the limits of reality. With DeepFakes Mastery, you’ll gain an arsenal of cutting-edge techniques that enable you to do:1. Voice Cloning: Give Life to Your Thoughts Experience the extraordinary power of voice cloning as you seamlessly mimic any voice you desire. Whether it’s cloning your own voice or bringing iconic voices to life, our course will guide you through the intricacies of this mesmerizing technology. Take control of narratives, breathe life into animations, and craft unforgettable stories.2. Video Voiceover Manipulation: Shape Reality to Your Will Unleash your creativity by combining voices with videos, making it appear as though the person on screen is saying something entirely different. With our expert guidance, you’ll master the art of manipulating video voiceovers, ensuring the perfect synchronization between audio and visuals. Craft compelling narratives, deliver impactful messages, or create entertaining content that captivates your audience.3. Motion Transfer: Redefine Possibilities Reimagine the limits of motion as you blend the movements from one video with an image of someone else. Our course empowers you with the skills to perform awe-inspiring motion transfers, forging seamless connections between various visual elements. Showcase your ingenuity in film production, breathe life into virtual characters, or elevate your video storytelling to new heights.What Sets Our Course Apart?1. Comprehensive Learning Structure Our course is meticulously designed to cater to both beginners and seasoned professionals. Starting with the fundamentals, we’ll guide you through each step, ensuring a solid understanding of DeepFakes concepts. As you progress, you’ll explore advanced techniques, sharpening your expertise and gaining mastery over this groundbreaking technology.2. Hands-On Practical Exercises Theory alone cannot unleash your creative potential. That’s why our course focuses on practical, hands-on exercises, allowing you to apply your knowledge in real-world scenarios. Engage in immersive projects, tackle challenges, and transform theoretical concepts into tangible results. You’ll witness your skills grow exponentially as you tackle each exercise head-on.3. Expert Instruction from Industry Veterans Learn from the best in the field. Our course is crafted and delivered by industry veterans, armed with years of experience in DeepFakes technology. Benefit from their wisdom, insider tips, and tried-and-true methods. They’ll guide you through the complexities of DeepFakes, ensuring you develop a strong foundation and unleash your creative potential.4. Supportive Community Join a vibrant community of like-minded individuals who share your passion for DeepFakes. Collaborate, exchange ideas, and seek inspiration from fellow learners and professionals. Our inclusive community will be there to support you every step of the way, providing feedback, encouragement, and a platform to showcase your remarkable creations.5. Lifetime Access With our course, your learning journey never ends. Gain lifetime access to the course materials and stay updated with the latest advancements in DeepFakes, ensuring you remain at the cutting edge of this revolutionary field.Unleash Your Creativity Today!Don’t miss this extraordinary opportunity to harness the captivating power of DeepFakes. Join our DeepFakes Mastery course today and embark on a transformative journey where reality meets imagination. Discover the secrets of DeepFakes Mastery and revolutionize your storytelling, entertainment, and creative endeavors.What You’ll Gain:In-depth knowledge of voice cloning techniques to bring any voice to life, opening up a world of possibilities for character creation, dubbing, and animated storytelling.The ability to seamlessly manipulate video voiceovers, enabling you to alter the dialogue, create parodies, or convey messages with precision and impact.Proficiency in motion transfer, allowing you to blend the movements of one video with an image of someone else, empowering you to create mesmerizing visual effects and captivating narratives.Who Can Benefit:Filmmakers and Video Content Creators: Enhance your storytelling capabilities, create unforgettable characters, and produce stunning visual effects that captivate your audience.Voiceover Artists: Expand your repertoire by mastering voice cloning techniques, opening up new opportunities for dubbing, character voiceovers, and narration.Social Media Influencers: Stand out from the crowd with engaging and unique content, leveraging DeepFakes to create entertaining videos that go viral.Advertising and Marketing Professionals: Push the boundaries of creativity, crafting compelling and memorable campaigns that leave a lasting impact.Animation and Gaming Enthusiasts: Bring virtual characters to life with realistic voiceovers and seamlessly blended motions, taking your creations to the next level.Your Journey Starts Now:Enroll in DeepFakes Mastery: Sign up today and gain instant access to our comprehensive course materials, including step-by-step tutorials, practical exercises, and expert guidance.Master the Fundamentals: Build a strong foundation by learning the core principles of DeepFakes technology, ensuring you have a solid understanding of the concepts and techniques involved.Hands-On Projects: Dive into immersive exercises designed to challenge and inspire you. Apply your knowledge to real-world scenarios and witness your skills evolve with each project.Advanced Techniques: Explore cutting-edge techniques and advanced applications of DeepFakes, elevating your creations to new heights and pushing the boundaries of what’s possible.Join the Community: Connect with fellow learners, share your progress, and collaborate on exciting projects. Our supportive community will be there to inspire, encourage, and provide valuable feedback.Lifetime Access: Enjoy lifetime access to the course materials, ensuring you can revisit and reinforce your knowledge whenever you need.Unleash Your Creative Potential Todayon’t let the limitations of reality confine your imagination. Embrace the power of DeepFakes and embark on a transformative journey where you become the master of your digital domain. Enroll in DeepFakes Mastery now and unlock the secrets to creating awe-inspiring videos that leave a lasting impression. Start shaping reality with your creativity and redefine the art of visual storytelling. The possibilities are limitless!Suggested Prerequisitesroficiency with using a computer and Google Colab.

Overview

Section 1: Introduction and Outline

Lecture 1 Introduction

Lecture 2 Project Scope

Lecture 3 Outline and Workflow

Lecture 4 Course Resources

Section 2: Voice Cloning

Lecture 5 Tortoise-TTS

Lecture 6 Installing Tortoise-TTS

Lecture 7 Descript

Section 3: Video DeepFakes

Lecture 8 Wav2Lip

Lecture 9 Synthesia

Lecture 10 Thin-Plate Spline Motion Model (pt 1)

Lecture 11 Thin-Plate Spline Motion Model (pt 2)

Lecture 12 Useful FFmpeg Commands

Section 4: Environment Setup Guidelines

Lecture 13 Pre-Installation Check

Lecture 14 Environment Setup: Install Python With Anaconda

Lecture 15 Environment Setup: Install Python Without Anaconda (not recommended)

Lecture 16 Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer

Filmmakers and Video Content Creators,Voiceover Artists,Social Media Influencers,Advertising and Marketing Professionals,Animation and Gaming Enthusiasts,Anyone interested in Machine Learning, Data Science, Deep Learning, and Artificial Intelligence