Agentic AI Engineering
Design AI agents that plan, call tools and finish real business tasks — with Python, APIs and vector search.
- Duration3 months
- LevelAdvanced
- ModeCampus + online
- Batch size18 students
Agentic AI is the difference between a chatbot that answers and a system that acts. In this track you build agents that read a brief, choose tools, browse, write to a database and report back — the exact pattern behind modern automation products.
You will work with the OpenAI and Anthropic APIs, function calling, embeddings, vector databases and workflow orchestration, then ship two portfolio projects: a research agent and a customer-support agent connected to a knowledge base.
What you will be able to do
- Build multi-step agents with tool calling and memory
- Design retrieval pipelines with embeddings and vector search
- Evaluate, log and guard agent output safely
- Deploy an agent to a live endpoint and monitor cost
Module by module
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01
Foundations
- LLM APIs, tokens, temperature, structured output, cost control
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02
Tool use
- Function calling, JSON schemas, retries, error handling
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03
Retrieval
- Chunking, embeddings, pgvector, evaluation of answers
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04
Production agents
- Orchestration, guardrails, logging, deployment, billing
Questions about this course
Other courses students take
Generative AI & Prompt Engineering
Use text, image, audio and video AI tools professionally — and write prompts that produce client-ready work.
IELTS Preparation
Targeted band-score coaching in listening, reading, writing and speaking with weekly mock tests.
Graphic Designing
Design social posts, brand kits and print material that look professional — with or without AI.