Courses that end in a deployment.
From Python foundations to production agents. Every course pairs the theory with projects from our catalogue, so you leave with proof of what you can do.
11 courses
Agentic AI Engineering with LangGraph & MCP
Design, build and ship multi-agent systems that do real work — safely.
Production RAG Systems
Retrieval that holds up on real documents, real users and real evaluation.
Machine Learning & NLP: Zero to Deployment
The theory, the maths and the code — then ship it.
AI-Powered Data Analytics
SQL, Python and Power BI — with AI tools doing the heavy lifting.
Generative AI Foundations with LangChain & Hugging Face
Everything you need to start building with LLMs — open and closed models alike.
MLOps End-to-End: CI/CD, Docker & Kubernetes
Make models reproducible, testable and deployable — every time.
LLMOps & AIOps in Production
Running LLM applications reliably: gateways, guardrails, evals, cost and observability.
Data Engineering on the Cloud
Batch and streaming pipelines with Spark, Kafka, Airflow and a modern warehouse.
Mathematics for ML & GenAI
Linear algebra, probability, statistics and calculus — taught for builders.
Python & DSA for Tech Interviews
Master Python and data structures — then practise the problems interviews actually ask.
AI-Assisted Engineering: Claude Code, Cursor & Spec-Driven Development
Ship faster with coding agents — without shipping slop.
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