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🟢 New Batch Starting Soon  ·  📍 Pune, Maharashtra
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🤖 ML & AI Mastery

From Python basics to deploying production AI models. Build an impressive portfolio with 4 real ML projects covering supervised learning, deep learning, NLP, and computer vision.

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5 Months Live Class + Video + Online Beginner to Advanced Feb 3, 2025 Certificate Included
Python 3.12NumPyPandasScikit-learnTensorFlow 2KerasPyTorchOpenCVNLTKTransformersFlaskDocker
Program Overview

Built for Real-World Success

A practical bridge from learning to earning — zero fluff, all industry-relevant skills.

Who Should Join?

  • Computer science students & fresh graduates
  • Working professionals wanting to enter AI/ML
  • Software developers looking to add AI skills
  • Data analysts wanting to transition to ML
  • Anyone fascinated by artificial intelligence

Why Choose Ri-Tech?

Industry-oriented, job-focused curriculum
Real-world live demos & hands-on labs
Dev-to-job transition focus
Small batch & personal attention
Career & placement guidance included
Industry-recognized certificate

What You Will Learn

  • 1

    Write Python programs from scratch for ML

  • 2

    Build regression, classification, clustering models

  • 3

    Create deep neural networks with TensorFlow/Keras

  • 4

    Apply CNNs for computer vision tasks

  • 5

    Build NLP models, transformers, and chatbots

  • 6

    Deploy ML models as production REST APIs

100% Practical Focus

Live labs & real projects — every topic practiced, not just taught. Build portfolio-ready work.

Python ML Data Analysis TensorFlow Computer Vision NLP / BERT Model Deploy

Syllabus

Complete Course Curriculum

Module-by-module breakdown covering everything from fundamentals to advanced topics.

01
Python for ML
Python environment, NumPy, Pandas, data manipulation, file I/O, and visualization with Matplotlib/Seaborn.
02
Statistics & Probability for ML
Descriptive statistics, distributions, hypothesis testing, correlation, and probability theory.
03
Supervised Learning
Linear regression, logistic regression, decision trees, random forests, SVM, and KNN with scikit-learn.
04
Unsupervised Learning
K-means clustering, DBSCAN, PCA, dimensionality reduction, and anomaly detection.
05
Deep Learning with TensorFlow & Keras
Neural networks, activation functions, backpropagation, CNNs, RNNs, and LSTM networks.
06
Computer Vision with OpenCV
Image processing, feature detection, object detection with YOLO, and face recognition.
07
Natural Language Processing
Text preprocessing, word embeddings, sentiment analysis, BERT, and transformer models.
08
PyTorch Deep Dive
Tensors, autograd, custom datasets, transfer learning, fine-tuning pre-trained models.
09
Model Deployment & MLOps
Flask/FastAPI APIs, Docker, model versioning, monitoring, and cloud deployment to Azure.
10
Capstone Projects (4)
Image classifier, sentiment analyzer, recommendation system, and a conversational AI chatbot.

Career Outcomes

Your Career After This Course

Roles you can apply for and industry salary benchmarks in the Indian market.

Job Roles You Can Apply For

ML Engineer₹8–20 LPA
Data Scientist₹8–22 LPA
AI Research Engineer₹12–30 LPA
Data Analyst₹5–12 LPA
MLOps Engineer₹10–22 LPA
NLP Engineer₹10–25 LPA

Industry Numbers

₹12L
Avg ML Engineer Salary
4
Portfolio Projects
500+
ML Graduates Placed
95%
Placement Rate

Enroll Today

Why Join This Batch?

Every batch is limited to ensure personal attention and quality training.

Small Batch Size
Limited seats ensure personalized attention from the trainer.
Recorded Sessions
All live sessions recorded & accessible for 6 months.
Placement Support
Resume review, mock interviews & direct referrals to our 120+ hiring partners.
Flexible Payment
Easy EMI options available. No upfront barrier to your career growth.

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FAQ

Frequently Asked Questions

No, we start from absolute Python basics in the first module. If you know programming in any language, you'll pick it up even faster.

High school mathematics is sufficient. We cover the required statistics and linear algebra within the course itself, explained practically.

4 complete projects: image classifier, movie recommender, sentiment analyzer, and a conversational chatbot — all portfolio-worthy and deployed online.

Yes — many of our graduates are working as ML/Data engineers. We provide full placement support including referrals to companies hiring ML talent.

Yes, we offer weekend batches specifically for working professionals. Classes on Saturday and Sunday, with weekday recordings available.

Student Story

★★★★★

"I had zero ML background when I joined. The course's structure — starting from Python basics and going all the way to PyTorch — made complex concepts very accessible. The 4 portfolio projects I built got me noticed at Wipro immediately. Within 6 months I transitioned from manual testing to ML Engineer!"

PS
Priya Sharma
ML Engineer @ Wipro · ₹9 LPA

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