Build production-ready AI applications using OpenAI APIs, vector databases, Retrieval-Augmented Generation (RAG), AI Agents, embeddings, and modern LLM frameworks. 
Topics
- OpenAI API
- Claude API
- Gemini API
- Embeddings
- Vector Databases
- LangChain
- RAG
- AI Agents
- Function Calling
- Multi-Agent Systems
- Deployment
Curriculum
- 1 Section
- 8 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Generative AI Developer Bootcamp: LLM Applications, RAG, AI Agents & Production Deployment8
- 1.1Lesson 1: Introduction to Generative AI and Large Language Models (LLMs)
- 1.2Lesson 2: Prompt Engineering and LLM Interaction
- 1.3Lesson 3: Building LLM-Powered Applications
- 1.4Lesson 4: Retrieval-Augmented Generation (RAG) Systems
- 1.5Lesson 5: AI Agents and Autonomous Workflows
- 1.6Lesson 6: Fine-Tuning, Model Optimization, and Evaluation
- 1.7Lesson 7: Production Deployment, MLOps, and AI Infrastructure
- 1.8Lesson 8: Responsible Generative AI, Security, and Future Innovations
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