Curriculum
- 15 Sections
- 150 Lessons
- 4 Weeks
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- Introduction to Generative AI10
- 1.1Introduction to Generative AI
- 1.2How Generative AI Works
- 1.3Generative AI vs Traditional AI
- 1.4Types of Generative AI Models
- 1.5Real-World Applications of Generative AI
- 1.6Generative AI Industry and Career Opportunities
- 1.7Understanding Generative AI Use Cases
- 1.8Generative AI Tools and Ecosystem
- 1.9Benefits and Limitations of Generative AI
- 1.10Setting Up Your Generative AI Learning Environment
- AI and Machine Learning Fundamentals10
- 2.1Introduction to Artificial Intelligence
- 2.2Introduction to Machine Learning
- 2.3Supervised and Unsupervised Learning Overview
- 2.4Introduction to Deep Learning
- 2.5Artificial Neural Networks Basics
- 2.6Training AI Models
- 2.7Understanding Datasets
- 2.8Features and Labels
- 2.9Model Evaluation Concepts
- 2.10AI and Machine Learning Fundamentals Practice
- Python for Generative AI10
- Large Language Models10
- Transformer Architecture10
- Prompt Engineering Fundamentals10
- Advanced Prompt Engineering10
- 7.1Prompt Optimization Techniques
- 7.2Structured Output Prompts
- 7.3JSON and Data Extraction Prompts
- 7.4Content Generation Prompts
- 7.5Research and Analysis Prompts
- 7.6Code Generation Prompts
- 7.7Image Generation Prompts
- 7.8Multi-Step Prompt Workflows
- 7.9Prompt Testing and Iteration
- 7.10Advanced Prompt Engineering Project
- Generative AI for Content10
- 8.1AI Text Generation Fundamentals
- 8.2Blog and Article Generation
- 8.3Social Media Content Generation
- 8.4Marketing Copy Generation
- 8.5Email Content Generation
- 8.6Content Summarization
- 8.7Content Rewriting and Editing
- 8.8Translation and Localization Concepts
- 8.9Building AI Content Workflows
- 8.10AI Content Generation Project
- Image and Video Generative AI10
- 9.1Introduction to AI Image Generation
- 9.2Understanding Text-to-Image Models
- 9.3Writing Effective Image Prompts
- 9.4Image Styles and Composition
- 9.5Image Editing Concepts
- 9.6Introduction to AI Video Generation
- 9.7Text-to-Video Concepts
- 9.8AI Video Workflow Concepts
- 9.9Responsible Use of Generated Media
- 9.10Generative Media Project
- Embeddings and Vector Databases10
- 10.1Introduction to Embeddings
- 10.2Understanding Semantic Search
- 10.3Creating Text Embeddings
- 10.4Similarity Search Concepts
- 10.5Introduction to Vector Databases
- 10.6Storing and Retrieving Embeddings
- 10.7Document Chunking Strategies
- 10.8Metadata and Filtering Concepts
- 10.9Vector Search Applications
- 10.10Embeddings and Search Project
- Retrieval Augmented Generation10
- AI Chatbots and Assistants10
- 12.1Introduction to AI Chatbots
- 12.2Designing Conversational Experiences
- 12.3User Input and Context Handling
- 12.4Conversation Memory Concepts
- 12.5Building a Knowledge Assistant
- 12.6Document-Based Chatbots
- 12.7Customer Support Chatbot Concepts
- 12.8Multilingual Assistant Concepts
- 12.9Chatbot Testing
- 12.10AI Chatbot Project
- AI Agents and Automation10
- Generative AI Application Development and Deployment10
- 14.1Planning a Generative AI Application
- 14.2Working with Generative AI APIs
- 14.3API Authentication and Security
- 14.4Backend Integration Concepts
- 14.5Creating a Simple User Interface
- 14.6Managing Environment Variables
- 14.7Testing Generative AI Applications
- 14.8Deployment Fundamentals
- 14.9Monitoring AI Applications
- 14.10Generative AI Deployment Project
- Responsible Generative AI and Live Projects10
- 15.1Introduction to Responsible Generative AI
- 15.2AI Bias and Fairness
- 15.3Privacy and Data Protection
- 15.4Hallucinations and Reliability
- 15.5Copyright and Intellectual Property Concepts
- 15.6AI Safety and Security Basics
- 15.7Evaluating AI Outputs
- 15.8Building a Responsible AI Workflow
- 15.9End-to-End Generative AI Application
- 15.10Final Generative AI Capstone Project
End-to-End Generative AI Application
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