★★★★★
"The structure, the practice exams, the instructor — all top tier. Passed first try."
AS
Aarti SharmaSenior Project Manager · TCS
— The journey
Course Outline
What the programme covers, module by module.
Module 1: Introduction to Generative AI
- Evolution of Artificial Intelligence
- What is Generative AI
- Types of Generative AI Models
- Industry Applications
- Current AI Landscape
Module 2: Fundamentals of Large Language Models
- Understanding LLMs
- Language Modeling Basics
- Tokens and Tokenization
- Context Windows
- Model Parameters
Module 3: Transformer Architecture
- Attention Mechanism
- Self-Attention
- Encoder vs Decoder
- Positional Encoding
- Multi-Head Attention
Module 4: Popular Foundation Models
- GPT Family
- Llama Models
- Mistral
- Claude Overview
- Gemini Overview
Module 5: Prompt Engineering Fundamentals
- Prompt Design Principles
- Zero-Shot Prompting
- One-Shot Prompting
- Few-Shot Prompting
- Prompt Optimization
Module 6: Advanced Prompting Techniques
- Chain of Thought
- Role-Based Prompting
- Structured Prompts
- Prompt Templates
- Prompt Testing
Module 7: Working with AI APIs
- API Concepts
- Authentication
- API Requests
- Response Handling
- Cost Optimization
Module 8: Embeddings and Vector Databases
- Embeddings Explained
- Similarity Search
- Vector Storage
- Indexing
- Semantic Search
Module 9: Retrieval-Augmented Generation (RAG)
- RAG Architecture
- Document Processing
- Chunking Strategies
- Retrieval Methods
- Response Generation
Module 10: Fine-Tuning Concepts
- Base Models
- Instruction Tuning
- Dataset Preparation
- Training Workflow
- Evaluation Methods
Module 11: AI Agents
- Agent Fundamentals
- Tool Usage
- Memory
- Planning
- Multi-Agent Concepts
Module 12: Open-Source AI Frameworks
- Hugging Face
- LangChain
- LlamaIndex
- Ollama
- AI Development Ecosystem
Module 13: Building AI Applications
- Chat Applications
- Knowledge Assistants
- Content Generation
- Document Analysis
- AI Workflows
Module 14: Model Evaluation
- Evaluation Metrics
- Hallucination Detection
- Benchmarking
- Performance Testing
- Quality Improvement
Module 15: Responsible AI
- Ethical AI Practices
- Bias and Fairness
- Privacy Considerations
- Secure AI Usage
- Governance Principles
Module 16: AI Deployment
- Deployment Options
- Cloud Deployment
- On-Premises Deployment
- Scaling AI Applications
- Monitoring and Maintenance
Module 17: Performance Optimization
- Latency Reduction
- Caching Strategies
- Resource Optimization
- Cost Management
- Model Selection
Module 18: Enterprise AI Integration
- AI Integration Strategies
- Enterprise Architecture
- Workflow Automation
- API Integration
- Business Use Cases
Module 19: Multimodal AI
- Text-to-Image Models
- Image Understanding
- Audio Processing
- Video Applications
- Multimodal Workflows
Module 20: AI Security
- Prompt Injection
- Data Protection
- Secure Development
- Access Control
- Compliance Considerations
Module 21: Future of Generative AI
- Emerging Trends
- Next-Generation Models
- Enterprise Adoption
- Research Directions
- Career Opportunities
Module 22: Capstone AI Project
- Project Planning
- Solution Design
- Application Development
- Testing and Optimization
- Final Demonstration
— 01.2 · Is it right for you?
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Who it's for
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
What's included
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Who it's for
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
What's included
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Who it's for
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
What's included
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device