AI courses from Python to Forward Deployed AI Engineer
Four live levels of 40 hours each. Start where you are, finish a capstone and climb to the next level.
Choose your level
Every level is 40 hours of live training: about 8 hours of concepts and 32 hours of hands-on labs, projects and a capstone.
Python for AI & Data Science
Python, NumPy, Pandas, visualisation, statistics and machine learning concepts for complete beginners.
AI/ML & Data Science with Responsible AI
Classical ML, model evaluation, deep learning, computer vision and NLP with TensorFlow, Keras and PyTorch.
Core Gen AI Engineering with Responsible AI
LLMs, prompt engineering, RAG, vector databases, AI agents, LangGraph, MCP and multi-agent systems.
Enterprise AI Engineering (Forward Deployed Engineer)
Fine-tuning, local and hybrid deployment, multimodal AI, MCP integrations, agent reliability, security and LLMOps.
What you will build and learn
Concepts from Levels 1 to 4, explained the way we teach them.








Data Engineering and AI Governance tracks
| Level | AI / ML / Data Science | Data Engineering | AI Governance |
|---|---|---|---|
| 1 · Beginner | Python for AI & Data Science | SQL, Python and PySpark | AI Governance Foundation Foundation and Intermediate merged into one level |
| 2 · Intermediate | AI/ML & Data Science with Responsible AI | Data engineering fundamentals with Responsible AI | |
| 3 · Advanced | Core Gen AI Engineering with Responsible AI | Lakehouse and data architecture (Medallion, Data Mesh, Data Vault) | AIGP certification prep |
| 4 · Expert | Enterprise AI Engineering (Forward Deployed Engineer) | Data products, data quality, data governance and MDM | – |
Data Engineering platforms: Databricks, Snowflake, Microsoft Fabric, Google BigQuery and Amazon Redshift.
AI course questions
Which level should I start with?
Start at Level 1 if you have never coded, Level 2 if you are comfortable with Python and Pandas, Level 3 if you have built ML models, and Level 4 if you have already shipped LLM applications or agents. We can help you decide.
Are the classes live or recorded?
All levels are live and instructor-led, with about 80% of the time spent on hands-on labs, projects and capstones.
What is a Forward Deployed AI Engineer?
A Forward Deployed AI Engineer works directly with business teams to turn AI pilots into reliable production systems, owning integration, security, evaluation and cost. Level 4 is designed for this role.
Is Responsible AI part of the courses?
Yes. Fairness, privacy, hallucination testing, security and human oversight are built into every level.
Do you offer other tracks?
Yes. A Data Engineering track runs from SQL, Python and PySpark to lakehouse architecture and data products, and an AI Governance track runs from AI Governance Foundation to AIGP certification prep.
Not sure where to start?
Tell us your background and goals. We will recommend the right level and share the next batch dates.
+91 98809 82425