1-to-1 Personal Mentorship

AI & Machine Learning Engineer Course in Pune

Advanced AI Coding & Development Bootcamp: Build neural networks & LLM applications under 1-to-1 developer coaching with real-world internship project.

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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Course Overview

We do not offer generic courses. We assign you a dedicated seat in the lab under a senior developer who reviews your commits daily. Fix your logic, ship your code, refactor your system. Say goodbye to 30-student classroom factories and standard pre-recorded video loops. We prioritize proof of skill via active GitHub contribution graphs and deployed staging environments. At CACTS, you construct and deploy actual Predictive Models, Neural Networks, and NLP systems from day one, completing your technical milestones by committing code to live company repositories. Every course includes hands-on coding labs, live project internships on active staging servers, and 1-to-1 career career readiness coaching.

Why train with CACTS vs the typical market?

Typical Market Courses

  • 30-50 student batches
  • Passive recorded lecture video playback
  • Hardcoded, outdated mock sandbox templates
  • No direct code feedback from developers

CACTS 1-to-1 Training

  • Strictly individual 1-to-1 virtual attention
  • Fully active dynamic pacing based on your grasp
  • Real company git repositories and developer commits
  • Screen-sharing, live code writing, and peer PR reviews

Key Skills You Will Acquire

Python 3.12 PyTorch 2.4 LangChain 0.3 & LlamaIndex Transformers (Hugging Face) Llama 3.1 & Ollama Local LLMs Scikit-Learn 1.5 & MLflow Vector Databases (Pinecone/Chroma)

Curriculum Outline

This curriculum is fully customized for you. We adapt the pace based on your learning speed. Our trainers work 1-to-1, detailing every line of code.

Module 1: Mathematical Foundations & Python for ML

4 Weeks
  • Linear Algebra, Calculus, and Probability for AI
  • Numerical computation with NumPy and Data analysis with Pandas
  • Data visualization with Matplotlib and Seaborn

Module 2: Classical Machine Learning Algorithms

4 Weeks
  • Supervised learning: Regression, Decision Trees, Random Forests, SVMs
  • Unsupervised learning: K-Means clustering, PCA dimensionality reduction
  • Model evaluation metrics: Precision, Recall, F1-Score, ROC-AUC

Module 3: Deep Learning & Neural Networks

4 Weeks
  • Perceptrons, Backpropagation, and activation functions
  • Building Neural Networks using TensorFlow and Keras
  • Introduction to Convolutional Neural Networks (CNN) for image data

Module 4: NLP & Live AI Model Deployment

4 Weeks
  • Natural Language Processing (NLP) text processing & vectorization
  • Deploying models as microservices using Flask/FastAPI
  • Collaborating on active company machine learning pipelines

Live Project Internship Integration

Unlike institutes that assign mock projects or simple copy-paste tasks, CACTS bridges the learning gap by placing you on real company software development environments. You will coordinate with active developers, write production code, submit code reviews, and deploy test cases.

  • Hands-on Git access and branch merge policies.
  • Real-world debugging under senior developer code review loops.
  • Staging pipeline deployments.
Learn About Our Live Project Internships >

Related Career & Technical Resource Guides

Explore our developer-vetted glossary definitions, industry comparison analyses, and career roadmap guides for AI & ML Training.

Hands-On Implementation Preview

Here is a concrete preview of the production-level code assets and system schemas you will design, write, and deploy during our 1-to-1 live project sessions.

Scikit-Learn Predictive Model Pipeline with Scaling 

from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import RandomForestClassifier

# Define ML Pipeline with feature scaling & classifier
pipeline = Pipeline([
    ('scaler', StandardScaler()),
    ('classifier', RandomForestClassifier(n_estimators=100, random_state=42))
])

# Fit train dataset
pipeline.fit(X_train, y_train)
predictions = pipeline.predict(X_test)

Machine Learning Pipeline & Random Forest Architecture 

[Input Vector] (Raw features: pricing, dimensions, etc.)
       |
       v
[StandardScaler] (Normalize feature distributions)
       |
       v
[RandomForestClassifier] (Ensemble of 100 Decision Trees)
       |
  +----+----+
  |    |    |
 [T1] [T2] [T3] ... (Parallel Tree Voting Evaluation)
  |    |    |
  +----+----+
       |
       v
[ArgMax Output] (Final Ensemble Predicted Classification)

Meet Your Mentor: Hambirrao P

Lead Technology Trainer

Hambirrao P is a senior enterprise technology specialist with 12+ years of hands-on coding experience in enterprise software design, including Spring Boot architecture, Python CLI automation, React layouts, and AWS cloud migrations. He has individually mentored 800+ developers in Pune since 2012.

Course FAQs

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

+

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).

Is the AI & Machine Learning training conducted in batches or 1-to-1 sessions?

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All training at CACTS is strictly 1-to-1. There are no classroom groups or rigid batch schedules. Mentors work directly with you via private live virtual sessions.

How do students gain live company project experience during the internship?

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Students compile live production code, merge branches on active Git repositories, participate in developer code reviews, and deploy builds on staging servers.

Where is CACTS Pune physically located for consultations?

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Our physical office is located at First Floor, Shinde Arcade, NDA Rd, Deshmukh Nagar, Shivane, Pune, Maharashtra 411023. Consultations are available by appointment.

Student Success Stories

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

5.0 / 5.0 Rating (Based on 3 Verified Student Reviews)

"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
Verify Review ↗

"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
Verify Review ↗

"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
Verify Review ↗