Codeflex
Learn/Course

AI Course

Build AI products, not just prompts

Learn to build real products with AI - Python and ML foundations, LLMs, RAG, and AI agents - through live classes, expert mentorship, and capstone projects you can put on your resume.

Duration
12 weeks
Format
Live online, weekends
Batch size
Up to 15 learners
Next batch
November 2026
Who it is for

Is this the right programme for you?

We would rather you pick the right programme than enrol in the wrong one. Here is an honest fit check.

This is for you if

  • Developers who want to add LLM, RAG, and agent skills to what they already build
  • Final-year students and recent graduates targeting AI or GenAI engineering roles
  • Working professionals who can commit to weekend live classes and weekly project work
  • Beginners with basic programming exposure who want a structured path into AI

It is not the right fit if

  • People looking for a self-paced, video-only course with no live sessions
  • Anyone who wants to learn AI theory or research without building applications
  • Learners who cannot spend 6 to 8 hours a week on classes and projects
Syllabus

What you will cover, week by week

Six modules, two weeks each. Every module ends with something you have built and can explain in an interview.

  1. Weeks 1-2
    Module 1

    Python and data foundations

    • Python for data work: functions, classes, typing, virtual environments
    • NumPy and pandas for loading, cleaning, and shaping data
    • Calling APIs and working with JSON
    • Git, GitHub, and a project setup you reuse all course
  2. Weeks 3-4
    Module 2

    Machine learning essentials

    • Supervised vs unsupervised learning, train/test splits, evaluation metrics
    • Classification and regression with scikit-learn
    • Embeddings and similarity: the intuition that powers modern AI
    • When to use classical ML and when to reach for an LLM
  3. Weeks 5-6
    Module 3

    LLMs and prompt engineering

    • How large language models work, at the level you need to use them well
    • Structured prompting, few-shot examples, and output schemas
    • Function calling and tool use
    • Evaluating outputs, controlling cost, and choosing between models
  4. Weeks 7-8
    Module 4

    RAG and vector databases

    • Chunking strategies and embedding pipelines
    • Vector stores and hybrid search
    • Measuring retrieval quality and fixing bad answers
    • Project: a question-answering assistant over your own documents
  5. Weeks 9-10
    Module 5

    AI agents and tool use

    • Agent loops: planning, acting, observing
    • Memory, guardrails, and handling failures
    • Integrating real APIs and internal services
    • Project: an automation agent that completes a multi-step task
  6. Weeks 11-12
    Module 6

    Capstone and career

    • Scope, build, and deploy an end-to-end AI application
    • Code reviews with your mentor and a demo day
    • Resume, LinkedIn, and GitHub aimed at AI engineering roles
    • Interview preparation for AI and GenAI positions, plus referrals through the mentor network

Want the detailed version with schedule and project briefs? We will send it over.

Build With AI, Not Just Learn About It

What You Will Learn

Our AI Course takes you from fundamentals to shipping production-ready AI features, with a project-first curriculum designed by engineers who build with these tools every day.

Live Classes

Instructor-led live sessions with doubt clearing, so you learn by building alongside the mentor rather than watching recordings.

Python & ML Foundations

Start from the basics - Python, data handling, and the core machine learning concepts you need before touching LLMs.

LLMs & Prompt Engineering

Understand how large language models work and master structured prompting, evaluation, and cost-aware model selection.

RAG & Vector Databases

Build retrieval-augmented applications over your own data using embeddings, vector stores, and chunking strategies.

AI Agents & Tool Use

Design agentic workflows that call tools, plan multi-step tasks, and integrate with real APIs and services.

Capstone Projects

Ship end-to-end AI projects - from a chat assistant to an automation agent - that you can showcase to recruiters.

Expert Mentorship

Small batches with mentors from top product companies who review your code and guide your project decisions.

Career Support

Resume and LinkedIn guidance, AI interview preparation, and referral opportunities for AI engineering roles.

Outcomes

What you leave with

  • Three portfolio projects: a RAG assistant, an AI agent, and a deployed capstone

  • Working knowledge of Python, ML basics, LLM APIs, vector databases, and agent frameworks

  • Code that has been reviewed by an engineer who builds with these tools at work

  • A resume, LinkedIn, and GitHub aimed at AI Engineer and GenAI Developer roles

  • Interview preparation for AI roles and referrals through the mentor network

Why Codeflex

Why choose Codeflex

A course for people who want to ship AI products, with mentors who already do.

Mentors who build with AI

Guidance from engineers and data scientists working at product companies.

From foundations to agents

Python and machine learning, then LLMs, RAG, and agents, in one continuous path.

Projects you can show

Capstones you can put on a resume and walk through in an interview.

Help after the classes

Resume, LinkedIn, and interview support for AI engineering roles.

Instructors

Our Instructors

Saksham Arora

Saksham Arora

Software Engineer 2 @ Intuit | Ex - Microsoft

Competitive programming and system design instructor with strong coding expertise. 

Meet all 12 instructors
Testimonials

What learners say

Reviews from mentorship sessions and courses.

The session went well and saksham guided me the steps in very detail regarding career. It’s worth to connect and get guidance from saksham.
VK
Vinod Kumar
3 Sep 2026
Your classes is helpful and friendly learning styel
A
Anonymous
20 Jul 2026
It was overwhelming since i come from a non technical background but the videos were self explanatory and really helped me a lot. Would like to say thankyou for making this so easy for me
A
Ayushi
18 Jun 2026
Saksham's tutorials are really helpful. He's a great mentor.
SF
Shreyash Fating
29 May 2026
Your to the point clear communication, easy to understand for a vibe coder like me.
JS
Jolly SHAH
24 May 2026
The courses provided by Sir are exceptionally well-structured and thoughtfully prepared.
MP
manish pandey
9 May 2026
I also really enjoyed the session! It was very helpful and definitely worth my time. Thanks for the insightful resume review
HR
Harsh Raj
25 Apr 2026
Teaching style which is crystal clear
SG
Saurabh Gautam
16 Apr 2026
very good
S
shambhavi
9 Apr 2026
Insightful
SY
Shaik Yasmin
16 Mar 2026
I had the opportunity to be mentored by Saksham, and the session was extremely insightful. He explained roadmap with great clarity, shared practical perspectives, and patiently addressed my questions. The guidance I received helped me gain a clearer understanding and confidence in my next steps.
A
Anonymous
10 Jan 2026
Good
A
Anonymous
21 Aug 2025
Read all 139 reviews
Fees and next steps

Fees and batch details on request

Fill in the form and we will send the complete syllabus, fee, and batch dates, and set up a short call with a mentor to check fit.

  • Full week-by-week syllabus with project briefs
  • Fee and upcoming batch dates
  • A 15-minute call with a mentor before you decide
Duration
12 weeks
Format
Live online, weekends
Batch size
Up to 15 learners
Next batch
November 2026

No payment needed to enquire.

Frequently Asked Questions

Everything you need to know about our AI Course

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