Course curriculum
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1
Module 1: Introduction to Artificial Intelligence
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Definition of AI
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Brief history and evolution of AI
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Current state of AI and future trends
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2
Module 2: Foundations of AI
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Types of AI: Narrow AI, General AI, and Superintelligent AI
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- Major Approaches to AI: Symbolic, Machine Learning, and Hybrid
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3
Module 3: Basics of Machine Learning
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Basics of Machine Learning
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Types of Machine Learning
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Overview of Deep Learning
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4
Module 4: AI Technologies and Algorithms
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Fundamental Algorithms in AI and ML
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Introduction to Neural Networks
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Natural Language Processing (NLP)
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Computer Vision (CV)
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5
Module 5: Practical Applications of AI
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AI in Healthcare
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AI in Business and Ecommerce
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AI in Autonomous Vehicles
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AI in Entertainment
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AI in Finance
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AI in Technology (Ai in Blockchain )
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AI in Technology (AI in IOT)
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6
Module 6: Ethical Considerations in AI
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Understanding AI Ethics
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Potential Pitfalls and Controversies in AI
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Strategies for Responsible AI Deployment
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7
Module 7: Prompt Engineering
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What is Prompt Engineering?
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Importance of Prompt Engineering
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Applications of Prompt Engineering
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8
Module 8: Understanding Prompts
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Different types of Prompts
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Components of a Prompt
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Understanding Prompt Context
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Problems and Challenges with Prompts
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9
Module 9: Principles of Effective Prompt Engineering
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Eliciting Desired Response
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Eliciting Desired Response Hands On
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Clarity and Specificity in Prompts
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Dealing with Ambiguity
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Handling Sensitive Topics and Content Safeguards
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Prompt Strategies for Better Output
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Useful Prompt Templates
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10
Module 10: Creating Effective Prompts
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Case Studies: Prompt Engineering Examples
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StepbyStep Process of Creating Prompts
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Prompt engineering for Text Summarization
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Prompt engineering for Information Extraction
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Prompt engineering for Question Answering
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Prompt engineering for Text Classification
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Prompt engineering for Code Generation
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Prompt engineering for Paraphrasing
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Analyzing and Evaluating Prompt Performance
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11
Module 11: Working with OpenAI API
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Overview of OpenAI API
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ChatGPT PlayGround
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How to setup ChatGPT addon?
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12
Module 12: Advanced Prompt Engineering Concepts
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Zeroshot and Fewshot Prompting
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Dealing with Biases in Prompt Responses
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Mitigating Inappropriate or Unwanted Responses
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Engineering Prompts for Multilingual and Multicultural Contexts
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Building Iterative and Interactive Prompt Chains
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13
Module 13: Future of Prompt Engineering and AI Conversations
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Evolution and Trends in AI Conversational Models
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Career Opportunities in Prompt Engineering
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Emergence of Opensource Large Language Models
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14
Module 14: Other Popular Large Language Models
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Bard Model
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Claude Model
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GROK AI
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15
Module 15: AI and Machine Learning Concepts
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Deep Learning
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Natural Language Processing (NLP)
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Computer Vision
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Robotics and AI
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16
Module 16: Types of AI
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Narrow AI
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Strong AI
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Superintelligence
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17
Module 17: ChatGPT Functionalities and Working
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How does ChatGPT work?
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ChatGPT 3 vs ChatGPT 4
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ChatGPT Functionalities
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Drafting emails and professional communication
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Automating content creation
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Research and information gathering
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Brainstorming ideas and creative problem solving
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Best Practices for Using ChatGPT
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18
Module 18: Working with OpenAI API
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Overview of OpenAI API
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ChatGPT PlayGround
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How to setup ChatGPT addon?
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Get started with ChatGPT in Google Docs
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Get started with ChatGPT in Google Sheets
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Data generation trick for ChatGPT in Google Sheets
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Text Analytics using ChatGPT
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19
Module 19: ChatGPT Job Opportunities
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Introduction to ChatGPT Job Opportunities
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Job Search Strategies and Resources
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Resume and Interview Preparation
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ChatGPT: Freelance and Entrepreneurial Opportunities
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Challenges and Opportunities in the Field of ChatGPT
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20
Module 20: Data Privacy with ChatGPT
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Challenge of data privacy
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Mitigating data leakage using data masking
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Using Private Large Language Models
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21
Module 21: Plugins
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Overview of ChatGPT Plugins
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Handson with ChatGPT Plugins Wolfram Plugin
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Handson with ChatGPT Plugins Link Reader Plugin
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22
Module 22: Custom
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Customize ChatGPT
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23
Module 23: Introduction to Gemini AI
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What is Gemini AI?
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Key Features of Gemini AI
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A brief on Gemini Versions: Nano, Pro, Ultra
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ChatGPT vs Gemini
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24
Module 24: Gemini Fundamentals
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Overview on Multimodal models
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Gemini AI Working Mechanism
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Gemini: AI Technology Stack
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Gemini AI Capabilities
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25
Module 26: Using Gemini AI for Creative Content Generation
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Gemini AI Walkthrough
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How to use Gemini AI to write a poem
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How to use Gemini AI to create Youtube video script
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How to use Gemini AI to generate blog post
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26
Module 27: Using Gemini AI for Productivity
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How to use Gemini AI to draft Email
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How to use Gemini AI to write Cover letter
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How to use Gemini AI to create Resume
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27
Module 28: Using Gemini AI for Code Generation
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How to use Gemini AI to generate, debug and test code part 1
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How to use Gemini AI to create a Single Login Portal
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How to use Gemini AI to create a Database Table
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How to use Gemini AI to create a Website Template
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28
Module 29: Using Gemini AI for Other Applications
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How to use Gemini AI for translation
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Gemini AI for Image translation
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How to use Gemini AI for research
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29
Module 30: Introduction to Generative AI
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What is Generative AI?
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Generative AI vs NonGenerative AI
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Applications of Generative AI
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30
Module 31: Generative AI for Text
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Understanding Text Data
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Introduction to Generative AI for Text
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Overview of ChatGPT
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ChatGPT in Action for Text Generation
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Using Google Bard for Text Generation
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31
Module 32: Generative AI for Images
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Introduction to AI for Image Generation
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Introduction to Stable Diffusion AI Models
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Overview of DreamStudio Platform
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Generating Images with Stable Diffusion
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Editing Images with Stable Diffusion
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Prompt Engineering for Image Generation
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Challenges in Generative AI for Images
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32
Module 33: Generative AI for Enterprises
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What is Enterprise AI
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Regular AI vs Enterprise AI
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Introduction to Generative AI for Enterprises
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Overcoming Challenges in Adopting Generative AI
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33
Module 34: Generative AI for Public Services
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Relevance of Generative AI for Public Services
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Benefits of Implementing Generative AI in Public Services
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Structure of a Generative AI Project
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Generative AI in Education
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Generative AI in Healthcare
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Generative AI in Tourism
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Challenges and Solutions in Applying Generative AI to Public Services
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34
Module 35: Data Privacy in AI
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Data Privacy Risks in Generative AI Systems
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Mitigating Data Leakage using Data Masking
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Privacy by Design in AI
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Implementing a Data Privacy Culture
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35
Module 36: Prompt Engineering for Text Analysis
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Prompt engineering for Text Summarization
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Prompt engineering for Information Extraction
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Prompt engineering for Question Answering
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Prompt engineering for Text Classification
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Prompt engineering for Code Generation
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Prompt engineering for Paraphrasing
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Analyzing and Evaluating Prompt Performance
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36
Module 37: Upcoming Trends in Generative AI
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Generative AI for Sound
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Generative AI for Videos
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Other Gen AI Trends
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37
Module 38: Getting Started with LLM
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Hugging face
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Overview of LLAMA2 and Gemma
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Fine tunning Gemma
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38
Module 39: Introduction to AI for Programmers
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Overview of AI tools for coding
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Importance and applications of AI in programming
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39
Module 40: Github Copilot
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Introduction to GitHub Copilot
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Setting Up GitHub Copilot
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Integrating Copilot into coding workflows
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40
Module 41: Practical Usage of GitHub Copilot
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Writing Code for a Landing Page
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Debugging using GitHub Copilot
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41
Module 42: ChatGPT for Programmers
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Introduction to ChatGPT
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Integrating ChatGPT into Coding Workflows
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Practical Examples and Use Cases
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42
Module 42: Leonardo AI for UI/UX
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Overview of Leonardo AI
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Leonardo AI for Image Generation
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43
Module 43: Introduction to Large Language Models
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LLM Overview
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Evolution of LLMs
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Capabilities and Limitations of LLMs
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Applications and use cases of LLMs
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44
Module 44: Core LLM Technologies
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Tokenization, Vectors and Embeddings
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Attention Mechanism and its variants
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Introduction to Transformer Architecture
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Creating Custom Language Models
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Transfer Learning in NLP
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Evaluation Metrics for LLMs: BLEU, ROUGE, Perplexity
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Introduction to Hugging Face Transformers library
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Overview of llama2 and Gemma
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Fine Tuning Gemma Model
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45
Module 45: Advanced LLM Techniques
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Overview of popular LLMs: GPT-3/4, BERT, T5
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Fine-tuning pre-trained models for specific tasks
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BERT and its variants: RoBERTa, DistilBERT
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GPT and its applications in text generation
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Exploring other models: T5, XLNet, ELECTRA
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Building conversational agents and chatbots - Part 1
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Building conversational agents and chatbots - Part 2
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Creative applications: text generation, storytelling - Part 1
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Creative applications: text generation, storytelling - Part 2
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Ethical considerations and bias mitigation in LLMs
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46
Module 46: Computer Vision
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Computer Vision (CV)
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Introduction to Neural Networks
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CNN from Scratch
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CNN using Tensorflow
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47
Module 47: Audio/Video Coding
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Basics of audio signal processing
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Feature extraction: MFCCs, Spectrograms - Part 1
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Audio classification and speech recognition - Part 1
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Basics of video signal processing
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Frame extraction and video feature analysis - Part 1
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Frame extraction and video feature analysis - Part 2
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48
Module 48: LLM Frameworks and Tools
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LangChain - Langchain for Conversational AI Applications
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LangChain - Deploying Language Model APIs with Langchain
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LangChain - Langchain for RAG Workflows
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Ollama - Overview of Ollama for conversational AI
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Ollama - Developing and deploying conversational agents with Ollama
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49
Module 50: Deployment and MLOps
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Introduction to MLOps concepts and practices
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Continuous Integration and Continuous Deployment
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Monitoring model performance in production
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Handling model drift and retraining
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Automated model testing and validation
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