Agents & LLMs
From 'what is a token?' to shipping your own AI agent — in two weekends.
A 4-day live course that gives non-coder professionals a solid foundation in LLMs and AI agents. You'll understand how these systems work, learn to talk to them effectively, and build a working agent for your own domain using AI coding tools.
Built for professionals, not programmers.
Working professionals who want to understand and build with AI — no coding experience required.
By the end of the course.
A solid mental model of how LLMs and AI agents work
A working capstone agent built for your own domain
The vocabulary to evaluate AI products and build your own
Hands-on experience with AI coding tools (Cursor / Claude Code)
Four days, one clear arc.
Each day builds on the last. By Day 4 you ship a working agent.
What is an LLM, really?
Build your mental model of how LLMs work — tokens, prediction, context, temperature.
- ◆Next-token prediction & tokenisation
- ◆Context windows & temperature
- ◆Why LLMs hallucinate
- ◆The model landscape: closed vs open
- ◆Live demos: tokenizer, model compare, cost calculator
Talking to LLMs well
Learn to steer LLMs with prompting techniques and context engineering.
- ◆System vs user prompts
- ◆Few-shot & role prompting
- ◆Structured output
- ◆Context engineering: right info, right shape, right time
- ◆Chain of thought reasoning
From LLM to Agent
Turn an LLM into an agent with tools, a loop, and automated testing.
- ◆What makes an LLM an agent
- ◆Tool calling: define, decide, execute
- ◆The agent loop
- ◆Building a Streamlit chat agent
- ◆Evals: testing AI output
Ship your agent
Add memory, connect to external tools via MCP, and ship your capstone.
- ◆Short-term & long-term memory
- ◆MCP: the universal tool protocol
- ◆Capstone work session with Cursor / Claude Code
- ◆Agent safety & regulation
- ◆Where to go next
Your Domain Agent
A working Streamlit chat agent extended for your domain — with tools, memory, and evals. Built using AI coding tools, not manual coding.
What you need before you join.
- ◆No coding experience required
- ◆A laptop with internet access
- ◆Willingness to experiment and build
Bring these, or install during setup.
Bala
AI Consultant · Co-founder, bSigma AI
Former lecturer at the National University of Singapore (NUS) for 5 years, where he taught programming and AI to hundreds of students. AWS Solutions Architect with deep expertise in Python, Docker, and Kubernetes. Now building AI agent products at bSigma AI and teaching professionals how to build with LLMs — not from slides, but from production experience.
Enroll in BSAI-101: Agents & LLMs
Launch price for Cohort 1: AED 199. One payment covers all 4 days — live sessions, recordings, slides, code, and capstone support.