AI Engineering in 10 Weeks
Hands-on AI Engineering for software engineers to master LLMs, fine-tuning, RAG and agents, and ship them to production.
1st August → 4th October
9 PM - 10:30 PM IST, Sat & Sun
221 Enrolled
Gaurav Sen
Founder AIEngg.dev | Ex-Uber, Directi
Trusted by 600+ engineers across US, India and rest of the world
Cohort Syllabus
Your instructor is Gaurav Sen.
- Tokenisation, Vectorization, Attention
- Pre-training and post-training
- LLM Evaluations
- End-to-end LLM lifecycle
tokensvectorsattentionLLMs
- Fine-tuning - LoRA/QLoRA
- Quantization - FP16, attention optimizations
- When to fine-tune vs. when not to?
- Fine-tuning an SLM for tool use
LLM optimizationsquantizationLORAfine-tuning
- RAG: chunking strategies, data ingestion, reranker, indexer
- Vector Embeddings, Vector Databases
- Search Algorithms: ANN algorithms (HNSW, IVF)
RAGVector DBVector Search
- Reranking strategies, Query rewriting, HyDE
- Input and output guardrails
- Safety: Prompt injection, Intent classification
- Coding Assignment: Build a RAG chatbot using API calls
RAGsafetyguardrailscoding
- LLM vs Agent vs Multiple Agents
- ReAct pattern
- Prompt Chaining, Orchestration, Routing
- Coding Assignment: Customer support agent
agentsreActorchestrationcoding
- Context Engineering
- Memory in Agents
- Model Context Protocol
- Multi-Agents
1 more item
agentic memorymcpcontext engineeringmemory systems
- Evals: How to avoid hallucinations with Evals
- LLM as a Judge
- Tradeoffs and design decisions
- Fine-tuning vs Prompting vs RAG
1 more item
EvalsLLM as JudgehallucinationsAI in practice
- Agents at scale
- MCP vs. API wrappers
- Design tradeoffs
- Best practices for agentic system design
AgentsMCPSystem Design
- Multimodal models
- CLIP
- Video Models
- CoT, RLHF
clipmultimodalimagesrlhf
- Recap important concepts
- Problem selection
- Metrics for evaluation
- Feedback on completed projects
capstoneprojectevaluation
Instructor
Your Cohort Instructor
Gaurav Sen
Founder AIEngg.dev | Ex-Uber, Directi
Gaurav Sen is a Software Engineer with experience designing and building AI systems at InterviewReady. He has also worked with companies like Docker and NeonDB in explaining how to build reliable AI systems. Gaurav has previously spoken at the University of Houston-Texas, IIT Gandhinagar, and BITS Hyderabad.
