Author: admin

Published 12/2023 MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 22m | Size: 1.1 GB​

Unleash Your Creativity with Adobe Firefly AI and DALL-E: Mastering AI Art and Content Generation from Scratch

What you’ll learn
AI and the most important of AI tools out there
How AI tools work and why we need them?
What is Generative AI and why now?
How Adobe Firefly AI works?
How to be a pro with Adobe AI
How DALL-E works and how to get the best out of it?
How to make the best prompts with Adobe Firefly AI tool and DALL-E
How to use a Pro tip to make most out of DALL-E and Adobe AI in minutes

Requirements

No prior experience is needed, just your attention will be appreciated

Description
Unleash Your Creativity with Adobe AI and DALL-E: Mastering AI Art and Content Generation from Scratch

Introducing Adobe AI: Transforming Creativity with Cutting-Edge Technology

In the landscape of creative tools, few match the innovation and prowess of Adobe AI. This dynamic platform serves as a gateway to a realm where creativity meets technological advancement. Leveraging the power of artificial intelligence, Adobe AI transcends conventional limitations, empowering creators to explore uncharted territories in artistry.

With Adobe AI, users delve into a world of boundless possibilities, harnessing the potential of machine learning and sophisticated algorithms. This toolset isn’t merely an evolution; it’s a revolution in the art of creation. From image manipulation to pattern recognition, Adobe AI seamlessly integrates cutting-edge technology into the artistic process, redefining the standards of creative excellence.

Discovering DALL-E: Redefining Content Generation through AI Wizardry

Dive into the avant-garde landscape of content creation with DALL-E, an AI-powered platform that redefines the boundaries of imagination. This groundbreaking tool transcends the conventional, enabling users to generate compelling, unique, and diverse content from scratch. With its state-of-the-art algorithms, DALL-E stands as a pioneer in the realm of AI content generation.

Unleashing the potential of natural language processing and image generation, DALL-E becomes a virtual artist, turning concepts into visuals and ideas into reality. Its prowess lies not just in its capability to create but in its ability to inspire creativity, pushing the boundaries of what’s possible in content generation.

The Course: Unveiling the Mastery of AI Art and Content Generation

Embark on a transformative journey into the realm of AI-powered creativity with our comprehensive course on Adobe AI and DALL-E. Designed for enthusiasts, professionals, and anyone intrigued by the fusion of art and technology, this course is an immersive experience that unlocks the full potential of these cutting-edge tools.

Course Overview

Our course is meticulously curated to equip you with the foundational knowledge and advanced techniques required to harness the potential of Adobe AI and DALL-E. Here’s a glimpse of what awaits you

Adobe AI Exploration

Understanding Adobe AI: Master the interface and functionalities of this groundbreaking tool.

Image Manipulation: Dive into advanced techniques to manipulate and enhance images effortlessly.

Pattern Recognition: Uncover the nuances of pattern recognition using AI-driven algorithms.

Creative Integration: Learn how to seamlessly integrate AI into your creative process for maximum impact.

DALL-E Expedition

Exploring DALL-E: Familiarize yourself with the interface and capabilities of DALL-E.

Content Generation: Delve into the art of generating diverse and captivating content using AI.

Natural Language Processing: Understand how to leverage language to inspire visual creations.

Innovative Applications: Explore unique applications and real-world scenarios for DALL-E.

Conclusion: Empowering Creativity with AI Mastery

As the creative landscape evolves, the fusion of artificial intelligence and creative expression emerges as a powerful force. Our course stands as a gateway to unlocking the full potential of Adobe Firefly AI and DALL-E, equipping you with the skills and knowledge to pioneer new frontiers in artistic creation.

Embrace this opportunity to transcend boundaries, unleash your creativity, and become a trailblazer in the captivating realm of AI art and content generation.

See you inside.

Your #1 fan,

Manas

Who this course is for
Data Scientists/Analysts: Individuals with a data analysis background looking to enhance their AI capabilities.
Marketers: Professionals in marketing and advertising seeking innovative AI-driven strategies.
People who want to learn about the future of AI. This includes anyone who wants to understand how AI is expected to impact our lives in the years to come.
Product Managers: Professionals responsible for product development who want to incorporate AI-powered features.
HR and Talent Managers: Those responsible for AI-related talent recruitment and management.
Students: who are interested in learning about AI and how it can be used in their studies and future careers.

Customer Success With Chatgpt(Ai): Innovate Client Relations
Last updated 7/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.50 GB | Duration: 3h 44m​

Optimize Customer Success with ChatGPT: Implementing AI Strategies for Enhanced Client Relations and Business Growth

What you’ll learn
Understanding ChatGPT’s capabilities in customer service
Applications of ChatGPT in enhancing customer interactions
Examples of ChatGPT in real-world customer service scenarios
Utilizing ChatGPT for automating responses
Tailoring ChatGPT for specific customer service needs
Strategies for efficient handling of customer inquiries
Best practices for integrating ChatGPT into workflows
Overcoming challenges in implementing ChatGPT
Case studies of successful ChatGPT implementations in e-commerce
Case studies of ChatGPT in healthcare applications
Case studies of ChatGPT in finance industries
Benefits of using ChatGPT for customer retention
Enhancing customer satisfaction with ChatGPT
Personalizing interactions using ChatGPT
Techniques for maintaining a natural conversation with ChatGPT
Role-playing scenarios for practical learning
Handling customer complaints using ChatGPT
Assisting with product issues through ChatGPT
Answering service-related queries with ChatGPT
Strategies for maintaining a positive user experience
Implementing conversational design principles
Ensuring consistency in ChatGPT’s tone and language
Using ChatGPT analytics for response accuracy
Analyzing metrics to improve ChatGPT performance
Strategies for addressing user queries proactively
Personalizing interactions to enhance engagement
Continuous improvement based on customer feedback
Agile adaptation of ChatGPT to user needs
Defining KPIs for measuring ChatGPT effectiveness
Establishing benchmarks for response accuracy
Incorporating feedback loops for improvement
Designing a ChatGPT implementation plan
Setting up ChatGPT for Revolut support via Slack
Demo on handling common customer requests in Revolut
Practical exercises on crafting ChatGPT responses
Enhancing customer success with AI tools like ChatGPT

Requirements
Basic understanding of customer service principles
Interest in leveraging AI for enhancing customer interactions
No programming experience is needed for this course
Ability to analyze data for improving ChatGPT performance

Description
Step into the cutting-edge realm of customer success and client relations with our intensive course on maximizing ChatGPT. Tailored for proactive professionals and businesses, this program delves into the evolution and robust capabilities of ChatGPT, charting its transformative impact on customer interactions. Participants will explore practical applications spanning diverse sectors, from optimizing customer inquiries for e-commerce giants to bolstering patient support in healthcare settings. Through immersive case studies and interactive simulations, you’ll gain proficiency in automating responses, managing complex queries, and fine-tuning ChatGPT’s performance using advanced analytics.The curriculum emphasizes customizing ChatGPT to meet specific customer success objectives, seamlessly integrating it into existing operational frameworks. Practical exercises and simulated scenarios will refine your skills in addressing client concerns, resolving product-related issues, and delivering authoritative insights on services. We’ll analyze successful implementations across finance, healthcare, and other domains, providing strategies to enhance customer satisfaction and retention rates.By course completion, you’ll be equipped to deploy ChatGPT effectively, driving heightened client engagement, satisfaction, and overall business triumph. Whether you’re an experienced customer success professional aiming to innovate your strategies or a business leader striving for excellence in a competitive landscape, this course empowers you to harness AI-driven customer success strategies with ChatGPT to their fullest potential.

Who this course is for:
Business owners looking to integrate AI into their customer service strategies,Sales representatives interested in leveraging AI tools like ChatGPT for sales success,Customer service professionals aiming to enhance efficiency and customer satisfaction,Individuals curious about AI applications in real-world scenarios,Anyone seeking to improve their understanding and implementation of ChatGPT in diverse industries,Sales and Customer Success Professionals

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Cursor: Coding with AI
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 2h 45m | 434 MB
Instructor: Elvis Saravia​

Learn how to code and build AI-powered web applications with Cursor.

What you will learn

Crypto and Blockchain for Beginners The Ultimate Guide

File INFO:
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Format:mp4
Size: 3.69 GB
Duration:00:11:08 Click to expand…

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https://rapidgator.net/file/8c651ae737ea0404d4edae91bf6b93e6/Crypto.and.Blockchain.for.Beginners.The.Ultimate.Guide.part1.rar
https://rapidgator.net/file/e3379eea892372fb0662dd0b825bc6cd/Crypto.and.Blockchain.for.Beginners.The.Ultimate.Guide.part2.rar

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https://drop.download/5rhbq75dkcew/Crypto.and.Blockchain.for.Beginners.The.Ultimate.Guide.part1.rar
https://drop.download/pts6sydfqpg3/Crypto.and.Blockchain.for.Beginners.The.Ultimate.Guide.part2.rar

– If you enjoy my posts, feel free to leave a "Thanks" in the comments.

Released 3/2026 By Andrew Mallett MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 25m 58s | Size: 203 MB​

Many entry-level administrators struggle to understand how essential network services work together to keep systems connected and secure.

What you’ll learn
Many entry-level administrators struggle to understand how essential network services work together to keep systems connected and secure. In this course, Critical Network Services DNS, DHCP, and NAT, you’ll gain the ability to configure, manage, and troubleshoot core network services with confidence. First, you’ll explore how DNS enables name resolution across networks. Next, you’ll discover how DHCP automates IP address assignment and network configuration. Finally, you’ll learn how to implement and manage NAT to allow secure communication between internal and external networks. When you’re finished with this course, you’ll have the skills and knowledge of critical network services needed to support and maintain small to medium-sized networks in an entry-level administrator role.

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

Happy Learning!!

Released 03/2026 By Kamran Ayub MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 51m 8s | Size: 219 MB​

How can AI agents help you save time and boost productivity without wasting effort? In this course, Creating Personal AI Agents, you’ll learn to develop and apply custom AI agents for professional use.

What you’ll learn
How can AI agents help you save time and boost productivity without wasting effort? In this course, Creating Personal AI Agents, you’ll learn to develop and apply custom AI agents for professional use. First, you’ll explore how to build simple AI agents using foundational concepts like ReAct. Next, you’ll discover how to customize agents for specific tasks using no-code and low-code tools. Finally, you’ll learn how to integrate AI agents responsibly by following ethical considerations and best practices. When you’re finished with this course, you’ll have the skills and knowledge needed to design effective AI agents, streamline your workflows, and enhance your productivity.

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

Happy Learning!!

Create Agents with v0 and Vercel (No Code Required)
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 20m | 56.5 MB
Instructor: Eve Porcello​

This course shows how to build a real, working AI agent using v0, the natural‑language app builder from Vercel-no coding required. By describing what you want in your own words, you can create and evolve an agent that reflects how modern teams actually work with AI.

Designed for product managers, designers, marketers, and other nontraditional developers, the course goes beyond demos and isolated prompts. You complete an end‑to‑end, production‑shaped project: building an agent, training it with context using file uploads, storing and managing customer feedback, iterating features through follow‑up prompts, and deploying a live app to Vercel.

By the end, you’ll have hands‑on experience creating, refining, and shipping an AI‑powered product for real business use cases.

Learning objectives

• Create and iterate on an AI agent using natural‑language prompts.
• Enable the agent to take meaningful actions on user input.
• Store, seed, and manage customer feedback with a database.
• Add features and modify layouts through prompt‑driven updates.
• Deploy a live, production‑ready agent to Vercel.

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Create A Victorian Room With Blender And Substance Painter
Published 7/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.92 GB | Duration: 18h 33m​

Learn Blender while creating a detailed environment suitable for animation or games.

What you’ll learn
Model 3D objects in Blender
Texture 3D models in Substance Painter
Render an animation using Blender’s Cycles render engine
Edit a video with Blender’s Video Sequence Editor
Requirements
Blender and Substance Painter are used in this course. The free paint program, Krita, is used briefly to edit images.
Description
In this course you’ll learn how to create a detailed interior scene using tools and techniques that apply equally to both animation and video games. We’ll use Blender to create the 3D models of the furniture, accessories, and the structure of the room. And then we’ll work on UV mapping all of the 3D objects, getting them ready for export, and taking them into Substance Painter for texturing. You’ll learn how to use layer masks in Substance Painter to quickly create realistic textures for your 3D objects.We’ll set up a Blender export template in Substance Painter, and export our texture maps so that we can use Blender’s Node Wrangler to easily apply the textures to our scene. Next we’ll work on lighting the scene, and rendering using Blender’s Cycles render engine. We’ll animate the camera and use Blender’s Video Sequence Editor to edit our rendered shots together. We’ll even add some music and then render it all out to a single mp4 video file.If you’re interested in creating environments for animation or video games, then this course is for you. You’ll learn how to create a realistic, detailed scene from the first polygon to the final render. So join me as we "Create a Victorian Room with Blender and Substance Painter."

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Lecture 2 Setting Up a Reference Figure

Section 2: Modeling the Furniture

Lecture 3 Beginning the Coffee Table

Lecture 4 Continuing the Coffee Table

Lecture 5 Finishing the Coffee Table

Lecture 6 Modeling the Round End Table

Lecture 7 Completing the Round End Table

Lecture 8 Starting the Arm Chair

Lecture 9 Refining the Shape of the Arm Chair

Lecture 10 Creating the Legs of the Chair

Lecture 11 Using the Path Tool

Lecture 12 Creating the Front Panels of the Arm Chair

Lecture 13 Finishing the Arm Chair

Lecture 14 Starting the Dining Chair

Lecture 15 Creating the Legs of the Dining Chair

Lecture 16 Modeling the Back of the Dining Chair

Lecture 17 Completing the Dining Chair

Lecture 18 Beginning the Chesterfield Sofa

Lecture 19 Finishing the Chesterfield Sofa

Lecture 20 Creating the Chesterfield Chair

Lecture 21 Beginning the Desk

Lecture 22 Adding the Drawers to the Desk

Lecture 23 Finishing the Desk

Lecture 24 Beginning the Desk Chair

Lecture 25 Creating the Cushions of the Desk Chair

Lecture 26 Modeling the Legs of the Desk Chair

Lecture 27 Finishing the Desk Chair

Lecture 28 Beginning the Wall Table

Lecture 29 Creating the Drawers and Legs of the Wall Table

Lecture 30 Finishing the Wall Table

Lecture 31 Beginning the Side Chair

Lecture 32 Working on the Legs of the Side Chair

Lecture 33 Finishing the Side Chair

Lecture 34 Starting the End Table

Lecture 35 Completing the End Table

Section 3: Modeling the Room

Lecture 36 Using Walk Navigation

Lecture 37 Blocking In the Walls and Panels

Lecture 38 Modeling the Mantel of the Fireplace

Lecture 39 Continuing the Fireplace

Lecture 40 Using the Boolean Modifier

Lecture 41 Placing the Fireplace in the Room

Lecture 42 Creating the Door Opening and Hallway

Lecture 43 Modeling the Door Panels

Lecture 44 Working on the Wall Details

Lecture 45 Adding the High Windows

Lecture 46 Finishing the Wood Panels

Lecture 47 Finishing the Window Frames

Section 4: UV Mapping the Furniture

Lecture 48 The Basic Tools of UV Mapping

Lecture 49 UV Mapping the Coffee Table

Lecture 50 Testing and Organizing the UV Map

Lecture 51 UV Mapping the Round Table

Lecture 52 Beginning the UV Map for the End Table

Lecture 53 Finishing the End Table

Lecture 54 UV Mapping the Wall Table

Lecture 55 UV Mapping the Dining Chair

Lecture 56 UV Mapping the High Back Chair

Lecture 57 Finishing the High Back Chair

Lecture 58 UV Mapping the Arm Chair

Lecture 59 UV Mapping the Desk Chair

Lecture 60 UV Mapping the Desk

Lecture 61 Finishing the Desk

Lecture 62 UV Mapping the Sofa

Lecture 63 UV Mapping the Chesterfield Chair

Section 5: Texturing the Furniture with Substance Painter

Lecture 64 Possible Issues When Exporting

Lecture 65 Possible Issues when Baking

Lecture 66 Aligning the Wood Grain of the Coffee Table

Lecture 67 Exporting Texture Maps from Substance Painter

Lecture 68 Using Blender’s Vertex Paint Tool

Lecture 69 Adding Textures Based on a Color ID Map

Lecture 70 Setting Vertex Colors for the Dining Chair

Lecture 71 Texturing the Dining Chair

Lecture 72 Using Materials Instead of Vertex Colors

Lecture 73 Using Paint Layers in Substance Painter

Lecture 74 Finishing the Wall Table

Lecture 75 Texturing the Desk Chair

Lecture 76 Blender’s Two Sculpting Methods

Lecture 77 Sculpting the Wrinkles of the Desk Chair

Lecture 78 Baking a Normal Map in Blender

Lecture 79 Using the Baked Normal Map in Substance Painter

Lecture 80 Using a Custom UV Test Pattern

Lecture 81 Texturing the Desk in Substance Painter

Lecture 82 Texturing the Arm Chair

Lecture 83 Texturing the End Table

Lecture 84 Preparing the Sofa for Export

Lecture 85 Texturing the Chesterfield Sofa

Lecture 86 Painting Out Problem Areas in the Normal Map

Lecture 87 Using Smart Materials in Substance Painter

Lecture 88 Texturing the Small Round Table

Section 6: UV Mapping the Room

Lecture 89 Beginning to UV Map the Room

Lecture 90 UV Mapping the Fireplace

Lecture 91 UV Mapping the Walls

Lecture 92 Finishing the Room UV Maps

Section 7: Texturing the Room

Lecture 93 Exporting and Baking the Room

Lecture 94 Texturing the Room

Lecture 95 Applying Textures to the Room

Lecture 96 Exporting the Room Textures

Lecture 97 Applying the Room Textures in Blender

Section 8: Creating Accessories and Trim

Lecture 98 Creating the Rugs

Lecture 99 Modeling the Crown Molding

Lecture 100 UV Mapping the Crown Molding

Lecture 101 Texturing the Crown Molding

Lecture 102 Using Krita to Texture the Paintings

Lecture 103 Creating the Bookshelves

Lecture 104 Creating Antique Books

Lecture 105 Using Blender’s Physics Engine to Drape a Blanket

Lecture 106 Modeling the Leaded Glass Windows

Section 9: Lighting and Rendering the Scene

Lecture 107 Render Settings and Emissive Materials

Lecture 108 Practical Lights and Camera Settings

Lecture 109 Creating the Window Glass Material

Lecture 110 Adding Lights to the Scene

Lecture 111 Creating Volumetric Lighting

Lecture 112 Render Settings and Light Properties

Lecture 113 Creating a Quick Fire Simulation

Lecture 114 Setting Up the Scene for Rendering

Lecture 115 Rendering an Animation

Lecture 116 Using Blender’s Video Sequence Editor

Lecture 117 Animating the Rotating Record Player

Lecture 118 Adding Transitions and Rendering

Lecture 119 Adding Music

Lecture 120 Thank You!

Beginner Blender users who would like to learn environment creation.

Coursera – Natural Language Processing Specialization by deeplearning.ai
Video: .mp4 (1280×720) | Audio: AAC, 44100 kHz, 2ch | Size: 748.99 Mb
Genre: eLearning Video | Duration: 6h 59m | Language: English​

Break into the NLP space. Master cutting-edge NLP techniques through four hands-on courses!

Natural Language Processing with Classification and Vector Spaces
In Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:

a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbor search. Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot! This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:

a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is important for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot! This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Natural Language Processing with Sequence Models
In Course 3 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:

a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and d) Use so-called ‘Siamese’ LSTM models to compare questions in a corpus and identify those that are worded differently but have the same meaning. Please make sure that you’ve completed Course 2 and are familiar with the basics of TensorFlow. If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot! This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

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