Three Paths to AI Mastery
Whether you're starting from zero, building production GenAI apps, or engineering advanced AI systems — we have a course designed precisely for your level and goals.
Recommended Learning Path
- 01
Learn AI from Scratch
Build foundations in Python, ML & neural networks
- 02
GenAI & Agentic AI
Build real GenAI apps and autonomous AI agents
- 03
AI Engineering
Master prompt & context engineering for production
Choose your AI course
Each course is a complete, standalone program. Take them in sequence or jump straight to the level that fits you.
Learn AI from Scratch
The perfect starting point. No prior experience needed — learn Python for AI, machine learning fundamentals, neural networks, and build your first AI projects from scratch.
What you'll learn:
- Python for AI from zero
- ML algorithms & neural networks
- Data analysis & visualisation
- 4 real-world AI projects
- Career guidance & placement
Ideal for: Complete beginners, students, and career switchers
AI Course with GenAI & Agentic AI Development
Go beyond using AI — build it. Master Generative AI, LLMs, RAG systems, and autonomous Agentic AI using LangChain, AutoGen, vector databases, and production deployment.
What you'll learn:
- Generative AI & LLM fundamentals
- Build RAG systems & chatbots
- Autonomous AI agents with AutoGen
- Fine-tuning & model customisation
- Cloud deployment & production
Ideal for: Developers with basic Python/AI knowledge
AI Engineering with Prompt & Context Engineering
The advanced practitioner track. Master prompt engineering, context engineering, and AI systems design to build optimised, reliable, and scalable production AI applications.
What you'll learn:
- Advanced prompt engineering techniques
- Context window optimisation & compression
- AI pipeline architecture & evaluation
- Cost reduction & latency optimisation
- AI Engineering certificate
Ideal for: Senior engineers, AI architects & technical leads
Outcomes after the AI program
Real outcomes our learners achieve within 6 months of completing the program.
Learners placed
Within 6 months
Avg. salary hike
Career switchers
Hiring partners
Active recruiters
Capstone projects
Portfolio-ready
Roles you can target
Generative AI Engineer
+74% YoY demand
Machine Learning Engineer
Stable & high
AI Product Engineer
Emerging role
Prompt / Context Engineer
+120% YoY
AI Solutions Architect
Leadership track
Data Scientist (AI focus)
Always hiring
Who these AI programs are for
We design every batch around the learner — pick the path that matches your background.
Students & freshers
Build a portfolio before you graduate
- Academic-friendly batches
- Capstone for resume
- Internship support
Working professionals
Switch into AI without quitting your job
- Weekend live cohorts
- Mentor 1:1s
- EMI on tuition
Career switchers
Move from non-tech / IT services into AI
- Zero-to-hero curriculum
- Resume rewrite
- Mock interviews
Senior engineers
Add GenAI & AI Engineering to your stack
- Advanced track
- Architecture deep-dives
- Production playbooks
Corporate teams
Upskill an entire engineering org
- Custom curriculum
- On-prem / cloud labs
- Bulk pricing
Colleges
Industry-ready curriculum for campuses
- Faculty workshops
- Certification partnerships
- Placement drives
What you'll learn across the AI track
A combined view of the curriculum across all three AI programs.
AI Foundations
- Python for AI
- ML algorithms
- Neural networks
- Statistics & probability
Generative AI
- LLM internals
- RAG systems
- Vector databases
- Fine-tuning
Agentic AI
- LangChain & AutoGen
- Tool use
- Multi-agent systems
- Eval & guardrails
AI Engineering
- Prompt engineering
- Context engineering
- Cost & latency tuning
- Production deploys
E-E-A-T · Experience, Expertise, Authoritativeness, Trust
Learn from working AI practitioners
Every program is taught by practising professionals who've shipped to production at scale.
Avg. instructor experience
Working in production
Certified mentors
Industry credentials
Learners trained
Across programs
Hiring partners
Active recruiters
Senior GenAI Engineer
Lead instructor — GenAI track
Ex-FAANG, shipped LLM apps to scale
14+ years experience
ML Engineering Lead
Mentor — ML & foundations
10+ production ML systems
12+ years experience
AI Architect
Lead — AI Engineering track
Designed multi-agent systems for fintech
16+ years experience
Frequently asked questions
Everything you need to know before enrolling. Can't find the answer? Talk to our advisors.
Not sure where to start?
Talk to an AI course advisor — we'll recommend the right program for your background, goals, and timeline.