Programme · 12-Week Practical Programme
Twelve weeks. Six portfolio-ready projects. One portfolio that proves it.
12 weeks
4 stages
6 portfolio-ready projects
48 hrs engineer review
Cohort 1 begins 1 November 2026
12
Weeks
Live, cohort-based, weekday sessions.
6
Portfolio-Ready Projects
Portfolio-ready, evaluated and engineer reviewed.
Review Turnaround
Human review on every assignment.
Every assignment is reviewed line by line by a working engineer within 48 hours — not automated grading.
Programme overview
A practical programme where the work is the proof.
You do not just learn AI. Over twelve weeks you build it, ship it and prove it, with six portfolio-ready projects.
The curriculum runs in four stages: engineering fundamentals before LLMs, evaluation before scale, and an enterprise capstone at the end .
Every assignment is reviewed line by line by a working engineer within 48 hours — not automated grading.
The programme is built around working engineers and product-company experience. Voltus AI Academy is an initiative by VoltusWave, a software product company with 9 years of experience and 5+ years building AI products.
Who it is for
Three ways to take the programme.
Entry requirements and prerequisites:
[CONTENT TO BE SUPPLIED]
Standard Track
Students and study-abroad aspirants
The full 12-week programme with live weekday sessions.
See the Standard Track
Working Professionals
People in full-time roles
Live sessions on Saturday and Sunday.
See the Working Professionals track
Customised Track
A shorter, tailored scope
1-month or 2-month options, with the scope tailored.
See the Customised Track
What is covered
Four stages, from engineering foundations to an enterprise capstone.
Python, APIs, LLMs, RAG, AI agents, tool calling, evaluation, Docker, CI/CD, deployment and SAP BTP.
0 1
Weeks 1–5
Engineering Foundations
Python
Git
Testing
SQL
APIs
Docker
CI/CD
0 2
Weeks 6–8
LLM Applications & AI Agents
LLMs
Prompt Engineering
Structured Outputs
Tool Calling
AI Agents
0 3
Weeks 9–11
RAG, Evaluation & Observability
Embeddings
Vector Search
RAG
Hybrid Search
Reranking
Evaluation
0 4
Week 12
Enterprise AI Capstone
SAP BTP
AI Agent
Deployment
Evaluation
Capstone
12-week timeline
Twelve weeks, one deliverable a week.
Final week themes and deliverables:
[CONTENT TO BE SUPPLIED]
W 1
W 2
W 3
W 4
W 5
W 6
W 7
W 8
W 9
W 10
W 11
W 12
Weeks 1–5 Engineering Foundations
Weeks 6–8 LLM Applications & AI Agents
Weeks 9–11 RAG, Evaluation & Observability
Week 12 Enterprise AI Capstone
6
Project delivery
6 Portfolio-Ready Projects
Portfolio-ready
Evaluated
Engineer reviewed
Weekly rhythm
One fixed cycle, every week, for twelve weeks.
Monday
Assignment released
Wednesday
07:00 IST · Live session with a working engineer
Friday
Assignment deadline
Weekend
Peer review
Within 48 hours
Engineer feedback
This weekly rhythm is for the Standard Track. The Working Professionals Track runs its own Saturday & Sunday live-session schedule.
Live · Wednesday 07:00 IST
Live with a working engineer
Cohort session, every Wednesday
48 HRS
Engineer feedback
Engineering review
Reviewed line by line by a working engineer.
Every assignment is reviewed line by line by a working engineer within 48 hours — not automated grading.
01
Submit
By the Friday assignment deadline your work is submitted and ready for review.
02
Peer review
Over the weekend you review a peer’s submission and receive a review of yours.
03
Engineer review
A working engineer reads your work line by line.
04
Feedback within 48 hours
You receive the engineer’s feedback within 48 hours.
Engineer review · illustration
Line by line, within 48 hours
def retrieve(query, k=5):
docs = index.search(query, k)
# review: rerank before you answer
return rerank(query, docs)
Example only, to show the format of a review comment.
Deployment & tooling
Deployment is part of the curriculum.
You graduate with a working AI system/capstone deployed in the cloud, with evaluation evidence.
The tooling to get there is part of the curriculum from the first stage, and the Week 12 capstone is built on SAP BTP.
Git
Testing
Docker
CI/CD
Deployment
SAP BTP
What you graduate with
Evidence, not a line on a CV.
01
Public Portfolio
Six portfolio-ready projects, with source, deployment and evaluation evidence as finalized by the teaching team.
02
Deployed AI System
A working AI system/capstone deployed in the cloud, with evaluation evidence.
03
Real AI Engineering Skills
LLM applications, AI agents, RAG, evaluation and deployment practiced end to end.
04
Engineering Review
Line-by-line feedback from working engineers, including the 48-hour review turnaround.
05
Certificate of Completion
Issued on successful completion of the programme.
06
Real-Time Project Experience
Weekly deadlines, peer review and an enterprise AI capstone experience.
Apply
Twelve weeks, six portfolio-ready projects, and a working engineer reviewing every assignment within 48 hours. New cohorts start monthly.