Introduction to LLMs
A beginner-friendly course covering the fundamentals of Large Language Models — what they are, how they work, and how to use them effectively.
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5 OF 5 COURSES AVAILABLE
Build AI applications
Aspiring developers who want a grounded route into language model engineering.
Where this path leads
Build an evidence-based LLM application, then extend it into a bounded tool-using workflow.
- Available now
Python & Data for Machine Learning
Prepare with Python, data, and practical programming.
beginner - Available now
Large Language Models: From Prompts to Practice
Learn how to prompt and evaluate language models.
beginner - Available now
LLM Engineering: RAG, Evals & Multimodal Apps
Design retrieval, evaluation, and an evidence-based application.
intermediate - Available now
Agentic AI: Tools, Workflows & MCP
Add bounded tools, approval steps, and failure recovery.
advanced
Available courses in this path
Python & Data for Machine Learning
Learn practical Python, CSV inspection, data validation, reproducible splits, and leakage prevention through a complete workshop-data lab.
By Admin
Free courseView course
Large Language Models: From Prompts to Practice
Understand tokens and context, build reusable prompts, work with source documents and JSON, and evaluate a prompt portfolio honestly.
By Admin
Free courseView course
LLM Engineering: RAG, Evals & Multimodal Apps
Build a transparent retrieval baseline, validate citations and access, design multimodal workflows, and evaluate an evidence-based tutor prototype.
By Admin
Free courseView course
Agentic AI: Tools, Workflows & MCP
Design bounded tool workflows, approval gates, retry-safe actions, and MCP contracts. Test a research-and-draft assistant without sending real messages.
By Admin
Free courseView course