Code, data and LLM basics
Build the technical base required for modern AI application development.
- Python for production
- APIs, databases and Git
- LLMs, prompting and structured output
- Embeddings and vector search
Affordable · Expert-led · Placement focused
Learn AI in stages.
Become job-ready.
A structured 16-week curriculum led by industry experts with 20+ years of experience—combining live learning, production projects, placement assistance and mock interviews.
16weeks, stage by stage
20+years' industry expertise
4job-ready projects
1:1mock interview feedback
THE GAP WE CLOSE
Most courses stop at “it works.”
Hiring starts at “prove it.”
Knowing prompts is not the same as engineering a reliable AI product. You need systems thinking, measurable quality, production habits, and the ability to communicate trade-offs.
01 Build for real constraints02 Measure quality and reliability03 Present work like an engineer
STAGE-BASED AI CURRICULUM
One clear path.
Foundation to placement.
Every four-week stage combines concepts, guided labs, assignments and a reviewable output. You always know what you are learning and why it matters at work.
RAG and agent engineering
Turn foundations into useful systems that retrieve knowledge and take action.
- Document extraction and chunking
- Hybrid RAG and citations
- LangGraph, memory and routing
- MCP, tools and API integration
Deploy reliable AI systems
Learn what separates a working demo from a dependable client-ready product.
- AWS deployment and security
- LLM and RAG evaluation
- Guardrails and human handoff
- Latency, scale and cost control
Prepare for AI hiring
Convert your work into evidence and practise presenting it under interview pressure.
- Industry capstone and live demo
- Resume, LinkedIn and GitHub
- Coding and system-design practice
- Technical and HR mock interviews
20+
LED BY INDUSTRY PRACTITIONERS
Learn from people who have built through technology shifts.
Sessions are led by senior industry experts with more than 20 years of software and technology experience, supported by active AI engineers working on production systems today.
Live instructionAsk questions and solve problems with practitioners.Architecture reviewsGet direct feedback on the decisions inside your projects.Industry contextUnderstand how teams ship, secure and maintain AI systems.
BUILD WORK THAT SPEAKS
Your portfolio won’t
look like homework.
Every project includes a deployed demo, architecture diagram, evaluation report and a concise case study.
Reliable knowledge copilot
Hybrid retrieval, citations, access control and hallucination checks for a high-trust domain.
RAGPGVECTOREVALSAWS
View build brief ↗Customer support agent team
Intent routing, tool calls, human handoff and measurable resolution quality.
LANGGRAPHMCP
AI voice operations assistant
Realtime conversations with workflow execution, failure recovery and monitoring.
VOICE AIFASTAPI
ROLE-BASED, NOT TOOL-BASED
Choose a direction.
Build the evidence.
For developers who want to build, deploy and improve LLM-powered products with strong backend and evaluation skills.
Python + APIsRAG + evaluationCloud deployment
PLACEMENT ASSISTANCE
Training continues
until you can present it.
Technical skill is only half the hiring process. Our career stage helps you package your work, communicate it clearly and practise the interview itself.
Profile positioning
Resume, LinkedIn and GitHub review aligned to realistic AI roles.
Mock interviews
Technical, coding, system-design and HR rounds with structured feedback.
Portfolio defence
Practise explaining architecture, trade-offs, failures and measurable outcomes.
Opportunity support
Job-search planning, application guidance and relevant opportunity sharing.
Transparent promise: we provide hands-on placement assistance and interview preparation. Employment depends on your performance and employer selection; no course can responsibly guarantee a job.
AFFORDABLE BY DESIGN
Career-focused learning should not require an oversized loan.
We are designing the founding cohort for students and working professionals who need serious instruction at an accessible fee.
FOUNDING COHORT
Accessible launch pricing
- Complete 16-week curriculum
- Live expert-led classes and labs
- Four portfolio projects
- Mentor reviews and mock interviews
- Placement assistance
Final fee and instalment options will be shared before applications open.
Get fee announcementWHO THIS IS FOR
Serious builders at different starting points.
Software developers
Add applied AI depth and move toward AI engineering roles.
Data & ML professionals
Bridge model knowledge with product engineering and deployment.
Final-year students
Graduate with meaningful projects and a sharper interview story.
Basic programming familiarity is required. This is a build-intensive program, not a zero-code introduction.
BEFORE YOU APPLY
Questions,
answered clearly.
Is this an online or offline program?+
The core cohort is live online, supported by planned offline bootcamps at partner colleges and institutions. Final format and locations will be announced with the first cohort.
Do I need prior AI experience?+
No professional AI experience is required, but you should be comfortable with basic programming and be ready to build every week.
Will there be placement support?+
Yes. Placement assistance includes profile positioning, opportunity guidance, portfolio defence and multiple mock interview formats. Employment is not guaranteed and depends on learner performance and employer selection.
How much will the program cost?+
The founding-cohort fee is being designed to remain accessible for students and working professionals. Exact pricing and instalment options will be announced before applications open.
Which tools will I learn?+
The stack may include Python, FastAPI, LangGraph, vector databases, cloud deployment and evaluation tools. The emphasis stays on transferable engineering patterns.
FOUNDING COHORT
Be first in line.
Get the detailed curriculum, affordable launch fee, cohort dates and early application invite when enrolment opens.