Learn AI Engineering by Building These 5 Projects

5 Projects You Can Build to Learn AI Engineering

I’m Amit Shekhar from Outcome School, where I teach AI and Machine Learning.

Let’s get started.

5 Projects You Can Build to Learn AI Engineering:

Document Q&A System

• Upload PDFs → ask questions → provide answers.

• Learn: chunking, embeddings, vector DBs, RAG Pipeline.

AI Teaching Assistant

• Explains concepts, adapts difficulty, generate quizzes.

• Learn: memory, fine-tuning, evaluation of explanations.

Cost-Aware LLM Router

• Route requests to different models based on cost/quality.

• Learn: token estimation, cost optimization, routing logic.

Semantic Search Engine

• Meaning-based search over articles or docs.

• Learn: embedding search, ranking, latency tradeoffs.

Long-Context Memory System

• Short-term + long-term memory using summaries + embeddings.

• Learn: context limits, memory decay, retrieval strategies.

Build these to learn how individual components come together into an end-to-end AI system.

If you want to get the overview of LLM, RAG, MCP, Agent, Fine-tuning, and Quantization, refer to the AI Engineering Overview by Amit Shekhar

Thanks

Amit Shekhar

Founder, Outcome School