ai agentsadvancedself-pacedAvailable Now

AI Engineering

A serious beginners-to-production AI engineering course built around real API usage, prompt systems, eval-driven development, RAG, agent workflows, MCP, and deployment. The structure mirrors the actual course materials already developed in the AI Engineering folder.

6 weeks 18 lessons 1,247 enrolled 4.7 rating

Live access status

Checking catalog and enrollment status...

Who This Is For

  • Developers and data practitioners who want to build real LLM applications, not just prompt demos.
  • Learners preparing for AI engineering roles involving evals, RAG, agents, and deployment.
  • Builders who want a more production-minded introduction to modern AI product workflows.

How You'll Train

  • Start with practical Python patterns for AI work, then move into prompts, APIs, evals, retrieval, and tool use.
  • Train on real engineering tasks such as structured outputs, regression suites, and agent workflows.
  • Treat AI systems as products that must be evaluated, monitored, and improved after launch.

Technologies

PythonLangChainDeepSeek APIPineconeFastAPI

What You Leave With

  • Build and evaluate LLM applications with a more professional workflow.
  • Understand when to use prompt systems, retrieval, tools, and agent orchestration.
  • Finish with project work closer to real AI engineering than a classroom chatbot.

Portfolio Outcome

A production-style AI application or agent project with evaluation logic and delivery thinking.

Curriculum

List Comprehensions, Type Hints, Dataclasses, and PydanticLecture
60 min
Async, HTTPX, Timeouts, and Defensive API WorkLab
110 min
Engineering Idioms AssignmentAssignment
160 min

Instructor

I
IODS Faculty
Curriculum delivered by practising data & ML engineers