Track A - Application and Integration Builder Progress Tracker

Track your progress through the universal foundation and Track A - Application and Integration Builder.

Level 1: Prerequisites (~15 hours)

• [ ] Python for AI - 3h
• [ ] Linear Algebra for AI - 3h
• [ ] Probability & Statistics for AI - 2h
• [ ] Neural Networks - 3h
• [ ] Deep Learning Fundamentals - 2h
• [ ] NLP Fundamentals - 2h

Level 2: GenAI Foundations (~20 hours)

• [ ] Transformers - 4h
• [ ] Attention Mechanism - 3h
• [ ] Tokenization - 2h
• [ ] Embeddings - 3h
• [ ] Modern LLM Architectures - 4h
• [ ] Scaling Laws & Pre-training - 4h

Level 3: Core GenAI Techniques (~25 hours)

• [ ] Large Language Models (LLMs) - 3h
• [ ] Prompt Engineering - 2h
• [ ] Context Engineering & Long Context - 3h
• [ ] Function Calling, Structured Output & Tool Use - 3h
• [ ] Retrieval-Augmented Generation (RAG) - 4h
• [ ] Fine-Tuning LLMs - 4h
• [ ] AI Agents - 4h
• [ ] LLM Evaluation & Benchmarks - 2h

Track A - Application and Integration Builder

• [ ] API Design for AI Applications - 2h
• [ ] Graph RAG & Advanced Retrieval - 3h
• [ ] Vector Databases - 3h
• [ ] Multi-Agent Architectures - 3h
• [ ] Agentic Protocols & Frameworks - 4h
• [ ] Conversational AI & Dialogue Systems - 3h
• [ ] Voice AI & Speech - 2h
• [ ] Code Generation & AI-Assisted Development - 3h
• [ ] AI System Design for GenAI Applications - 3h
• [ ] LLMOps & Production Deployment - 3h
• [ ] Structured Outputs & Constrained Generation - 3h
• [ ] AI Coding Agents - 3h
• [ ] AI Product Management Fundamentals - 2h