6 Months
Intensive Duration
Live Training
Interactive Mentorship
1 Year Access
To All Session Recordings
Dedicated QA
Live Doubt Resolution
Highly Rewarding Career Path
AI professionals are among the highest-paid tech specialists in India. Here is what you can expect to earn:
Fresher / Entry
0 - 2 Years Experience
₹6.0L - ₹12.0L
per annum
Mid-Level
2 - 5 Years Experience
₹15.0L - ₹30.0L
per annum
Senior / Lead
5+ Years Experience
₹30.0L - ₹60.0L+
per annum
Modern AI Tech Stack Covered
You will master the industry-standard libraries, frameworks, and deployment tools used by top tech companies.
Core Language
Python (OOPs, File Handling, Logic Building)
Data Handling
NumPy, Pandas, Matplotlib, Seaborn
ML & Deep Learning
Scikit-Learn, PyTorch, TensorFlow, Keras
Generative AI
OpenAI APIs, LLMs, RAG, Cursor AI, Claude
Engineering & Cloud
Flask, HTML/JS, SQL, Git/GitHub, Azure
Real-World AI Projects
You will build industry-grade projects to enhance your resume and showcase your skills.
University Chatbot System
Our massive flagship project utilizing NLP, LLMs, and intelligent routing for educational institutions.
Patient Health AI
A predictive healthcare application evaluating medical data to assist in early disease detection algorithms.
Social Media Sentiment Analysis
Analyze thousands of text entries dynamically using deep learning to gauge public sentiment and trends.
Various Industry Mini-Projects
Practical hands-on case studies focused on Fintech models, E-commerce recommendation engines, and more.
Target Audience
- Academic Students: M.Sc, M.Tech, B.Tech, MCA, MBA, BCA, B.Sc aiming for AI/Data careers.
- Transitioning Professionals: Engineers looking to shift into high-paying AI/ML roles.
- Beginners: No coding background required—the course starts from Python basics.
Course Outcomes
- Master mathematical foundations: Calculus, Linear Algebra, and Stats for AI.
- Train supervised, unsupervised, and deep learning models accurately.
- Engineer and deploy GenAI solutions, RAG pipelines, and Agentic AI tools.
Comprehensive Curriculum
7 extensive modules designed to take you from a beginner to an AI Engineer in 6 months.
Module 1: Python Programming
- Variables, operators, conditional statements, and loops.
- Functions & lambda functions.
- Data structures: list, tuple, dictionary, set.
- File handling and JSON modules.
- Object-Oriented Programming (OOPs).
Module 2: Data Handling Foundations
- Data collection strategies and preprocessing rules.
- Advanced data manipulation and formatting.
- Data visualization using NumPy, Pandas, Matplotlib, and Seaborn.
Module 3: Mathematics for AI
- Core Statistics and Probability algorithms.
- Linear algebra and Calculus essential for optimization.
- Central Limit Theorem.
- Understanding and optimizing the bias/variance tradeoff.
Module 4: Machine Learning
- Supervised Learning: Linear regression, logistic regression, Naive Bayes, KNN, decision trees.
- Unsupervised Learning: K-means, DBSCAN, PCA.
- Reinforcement Learning: Core concepts and modern applications.
- Evaluation metrics: precision, recall, F1 score.
- Tools utilized: Scikit-learn, Kaggle environments.
Module 5: Deep Learning
- Neural networks architectures: perceptron, FNN, RNN, LSTM, CNN.
- Mathematical intuition behind Forward and Backward propagation.
- Introduction to modern Transformers.
- Framework comparisons: PyTorch vs TensorFlow vs Keras.
Module 6: Generative AI (GenAI)
- Introduction to LLMs (Large Language Models).
- RNNs for NLP tasks, GAN architectures, and RAG (Retrieval-Augmented Generation).
- Mastering Agentic AI tools: Cursor AI, GitHub Copilot, Claude.
- Integrating and working directly with OpenAI APIs.
Module 7: AI Engineering Development Tech Stack
- Creating API layers utilizing Flask for AI development.
- Frontend fundamentals for dashboards: HTML, CSS, JS.
- SQL integration for structured Data Science tasks.
- Git & GitHub (version control standard practices).
- Deploying models to production environments using Microsoft Azure.
Validate Your AI Expertise
Upon completion of the 6-month intensive training and successful delivery of your AI Projects, you will be awarded an official Certificate of Completion.
- Shareable on LinkedIn & Resumes
- Verify practical engineering capability
Certificate of Completion
AI & Machine Learning Foundation
Top 10 FAQs
Frequently asked questions about our AI/ML program.
1. Do I need a coding background?
No! Beginners are welcome. Module 1 is dedicated completely to teaching you Python programming from absolute scratch.
2. What is the duration and mode of the class?
The course spans 6 months and is delivered entirely via Live Online Training.
3. What if I miss a live lecture?
All enrolled students receive 1-year access to all recorded lecture sessions starting from the date of enrollment.
4. Is Mathematics heavily involved?
Yes, AI requires a mathematical foundation. We cover all necessary statistics, probability, linear algebra, and calculus in Module 3.
5. Will I learn Generative AI?
Absolutely. Module 6 covers LLMs, RAG, OpenAI APIs, and Agentic AI tools like GitHub Copilot and Claude.
6. How are doubts resolved?
We host dedicated doubt-resolution support sessions alongside the live classes to ensure you never get stuck on a coding problem.
7. Will I learn deployment?
Yes, Module 7 covers the entire AI Engineering Tech Stack, including Flask APIs, Frontend integration, and deployment to Microsoft Azure.
8. Which frameworks will we use for Deep Learning?
You will work extensively with industry standards, comparing and implementing models using PyTorch, TensorFlow, and Keras.
9. Is this good for working professionals?
Yes, it is designed for both academic students (B.Tech, MCA, etc.) and professionals aiming to transition their careers into high-paying AI roles.
10. How do I enroll?
Simply click the "Enroll Now" button below or contact our team directly at +91-8090978001.
Ready to Build Intelligent Systems?
Join the upcoming batch and secure your high-paying future in Artificial Intelligence.