New course · Starts 24 August 2026

AI Engineering Portfolio Roadmap

From Python to 3 Deployed, Evaluated, Interview-Ready AI Projects in 13 Weeks

A working-session program that turns AI concepts into a portfolio hiring managers take seriously. The first six sessions build your Python, NumPy and Pandas foundation, then across 20 live builds you ship three deployed, evaluated systems: a grounded compliance knowledge copilot, a guardrailed control mapper, and a governed agent with human approval - each with citations, evals and a demo.

26 live sessions
Mon & Fri, 9:00 - 10:00 PM IST
3 deployed projects
13 Weeks
₹18,999

Installment 1 of 4 · ₹75,996 total course fee

24 August 2026 – 20 November 2026 · 4-6 hours between sessions of independent work between sessions

What You Actually Ship

Three deployed systems, each with evaluation, documentation and a demo you can walk an interviewer through.

1

Compliance Knowledge Copilot

A deployed copilot that answers compliance questions with control-level citations, handles insufficient evidence honestly, and is measured against a 30-50 question evaluation set

Built during: Weeks 5-8 (Sessions 10-16)

Skills: RAG, hybrid search, reranking, citations, retrieval metrics, faithfulness, deployment

2

Control Mapper

A guardrailed service that maps risks to applicable controls with evidence, owners and next actions, backed by a test suite and a deployed demonstration

Built during: Weeks 9-10 (Sessions 17-20)

Skills: Structured extraction, JSON schemas, guardrails, retries, confidence, adversarial testing

3

Governed Agent

An auditable agent that performs vendor risk review and audit evidence triage, routes high-severity findings through a human approval gate, and reports evaluated traces

Built during: Weeks 11-13 (Sessions 21-25)

Skills: Deterministic state machines, tool use, audit logs, human-in-the-loop, agent evaluation

The 26-Session Roadmap

Every session is a working session. You leave with code committed to your own repository.

Python, NumPy and Pandas Foundations

Weeks 1-3 · 6 sessions

Start from the language itself. Six working sessions that take you from Python syntax to vectorised NumPy and real Pandas analysis, so every later session is about AI engineering and never about fighting the basics

Write clean Python with functions, types and error handling
Structure a project with virtual environments, Git and the command line
Use NumPy arrays and vectorised operations instead of loops
Load, clean, group and analyse real data with Pandas
1Mon, 24 Aug

Python Foundations

Environment setup, variables, types, control flow and the command line

2Fri, 28 Aug

Functions & Data Structures

Lists, dicts, comprehensions, functions, modules and error handling

3Mon, 31 Aug

Files, APIs & Project Structure

JSON and CSV, calling APIs, virtual environments, Git and repository layout

4Fri, 4 Sept

NumPy Arrays

Arrays, dtypes, indexing, broadcasting and why vectorisation beats loops

5Mon, 7 Sept

Pandas DataFrames

Loading data, selection, filtering, joins and reshaping

6Fri, 11 Sept

Data Cleaning & Analysis

Missing values, types, grouping, aggregation and your first kept analysis

Foundations

Python, NumPy and Pandas ready for AI engineering

After session 6

Milestone 1

Deployed Compliance Knowledge Copilot

After session 16

Milestone 2

Deployed Control Mapper

After session 20

Milestone 3

Deployed Governed Agent

After session 25

Final Outcome

3 deployed, evaluated and interview-ready projects

After session 26

How Each 60-Minute Session Runs

Same structure every time, so you always know what to prepare.

0-5 minReview independent work and the one thing that broke most often
5-15 minThe engineering decision of the day and why it matters in production
15-50 minBuild the component together, committed to your own repository
50-55 minEvaluate output quality, failure modes and what to harden next
55-60 minScoped 4-6 hour task that advances your portfolio project

Who This Is For

Developer who is still learning Python

Start at week 1 with Python, NumPy and Pandas before the AI build sessions begin

Software engineer moving into AI

Convert general engineering skill into demonstrable AI systems work

Data scientist who has never shipped

Move from notebooks to deployed, evaluated services

AI enthusiast with tutorial projects only

Replace toy demos with systems that have evals and guardrails

GRC or security professional

Automate compliance work you already understand deeply

What you need before session 1

  • Comfortable writing Python
  • Basic Git and command line familiarity
  • 4-6 hours between sessions between sessions

Fees & Payment Plan

₹75,996 total, split into 4 equal installments of ₹18,999.

Installment 1

₹18,999

At enrollment

On or before 24 Aug 2026

Installment 2

₹18,999

Week 4

14 Sep 2026

Installment 3

₹18,999

Week 8

12 Oct 2026

Installment 4

₹18,999

Week 11

2 Nov 2026

You pay the first installment to confirm your seat. The remaining three are invoiced by email on the dates above - there is no automatic recurring charge on your card.

Roles This Portfolio Targets

Salary ranges are market references for these roles in India, not a guarantee of placement or pay.

AI Engineer

₹18L - ₹45L

Product startups · AI platforms · Enterprise AI teams

Applied AI / LLM Engineer

₹22L - ₹50L

AI-first startups · Consulting · Big tech

AI Governance & Risk Engineer

₹20L - ₹42L

Finance · Healthcare · Regulated enterprises

Start Building on 24 August 2026

26 live working sessions, Mon & Fri, 9:00 - 10:00 PM IST. You finish with three deployed systems, their evaluation results, and the ability to explain every engineering decision you made.

Explore the 20-week AI/ML bootcamp