1-to-1 Personal Mentorship

AI & ML Training Learning Roadmap

Phase-by-phase timeline milestones, Pune starting salaries, and job roles.

Next Intake: October 1, 2026 (5 Seats Left)
16 Weeks
₹24,999 (Value-Driven Pricing)
Shivane, Pune & Online
490+ Candidates Mentored
Pune Salary Outlook: ₹6.0 – ₹14.8 LPA
Lab Overview: Everyone is selling AI magic. We teach the code that makes AI possible. If you want a classroom with a certificate, the traditional institutes are waiting for you. If you want to ship production code, you come here. Reserve a seat in the lab. We bypass mass-classroom lecture batches to focus on 1-to-1 code execution.
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AI & ML Training Career Roadmap

Below is the step-by-step milestone learning path from absolute beginner to production-ready software developer, including average developer salaries in Pune.

Milestone Learning Timeline

Phase 1: Mathematical foundations & Python tools

4 Weeks

Skills Focus: NumPy, Pandas, Matplotlib, linear algebra vectors, calculus optimization

Milestone Project: Exploratory Data Analysis Report

Phase 2: Classical Machine Learning

4 Weeks

Skills Focus: Scikit-Learn, regressions, Random Forests, SVM, model metrics, pipelines

Milestone Project: Predictive Scoring Engine API

Phase 3: Deep Learning & Neural Nets

4 Weeks

Skills Focus: TensorFlow, Keras, Perceptrons, backpropagation, CNN architectures

Milestone Project: Image Classification Web App

Phase 4: FastAPI Deployment & Staging

4 Weeks

Skills Focus: Model pickling, FastAPI endpoints, HuggingFace pipelines, git branches

Milestone Project: Deploying ML Microservice on Internship

Pune IT Salary & Career Outlook

Pune is a major IT destination, with tech parks in Hinjewadi, Kharadi, and Baner. Full stack, Data Science, and DevOps developers who can configure environments, run Git workflows, and write clean database queries are in high demand across mid-sized companies and MNCs.

Career Path FAQs

When does the next 1-to-1 training intake start?

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Intakes start twice monthly on the 1st and 15th. The next upcoming 1-to-1 intake starts on October 1, 2026 (with secondary intake on October 15, 2026).

What is the step-by-step learning progression in the AI & Machine Learning roadmap?

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The roadmap transitions step-by-step from foundational syntax and core principles to advanced production architectures, testing suites, and cloud staging deployments.

What milestones will I achieve by completing this roadmap?

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You will master PyTorch, TensorFlow, Scikit-Learn, OpenCV, Hugging Face, LLMs, build enterprise portfolio projects, complete a real company project internship, and prepare for technical developer interviews.

What is the career outlook and demand for developers following this roadmap?

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Demand for skilled AI & Machine Learning engineers remains high across Pune, national IT hubs, and global remote software companies seeking developers who can ship clean, production-ready code.

Student Success Stories

Real feedback from students who completed our 1-to-1 virtual AI & ML Training training.

"Upgrading to AI and ML was seamless due to the personalized attention. My mentor helped me understand the mathematical foundations behind SVM and Random Forests, and we implemented neural networks in Keras. Great coding practice."

Vikram S.

AI Engineer (Formerly Data Analyst), Hinjewadi, Pune
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"I did my final year project on NLP, but CACTS gave me the industry perspective. We built and deployed custom models using FastAPI. The trainer's knowledge of Scikit-Learn pipelines and TensorFlow was impressive."

Snehal J.

ML Research Assistant, DY Patil Pune
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"Having a dedicated mentor to help debug my model training and explain hyperparameter tuning saved me months of struggle. The live project pipelines on company data were super challenging but rewarding."

Piyush K.

Software Developer, Kharadi, Pune
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AI & Machine Learning Developer Milestone Checklists

Key checkpoints and skill evaluations you will pass during your 1-to-1 training roadmap.

Milestone 1

Core Syntax & Architecture

Master essential syntax, language paradigms, and developer environment configuration with 1-to-1 assistance.

Milestone 2

Advanced Framework Engineering

Build production APIs, connect databases, handle async operations, and implement security protocols.

Milestone 3

Live Internship & Portfolio

Transition to the Live Internship Program, deploy real projects, and prepare for interviews.