Kickstart Your Career in Python, AI, ML & Data Science
✅ Learn from experts working in top tech companies
✅ Real-world, hands-on projects to build your portfolio
✅ Free starter classes — pay only when you’re ready
✅ Career mentorship, resume support, and mock interviews
✅ Industry-recognized certifications
✅ Learn everything from scratch or only a portion or a project that matters to you
🎉 Basic Classes 100% Free — No Payment Required
Learn the basics of Python, AI, ML & Data Science with zero upfront cost. Pay only when you’re ready to dive into advanced topics and real projects.
Syllabus
What You'll Learn in This Course
Click on the course name to view the full syllabus, detailed course content, and module breakdown for basic and advanced level.
Understand neural networks, logic-based AI, and practical use cases.
🟦 Basic Level
- What is Artificial Intelligence? Scope & Applications
- Differences Between AI, ML & Deep Learning
- Intelligent Agents and Environments
- Search Algorithms: BFS, DFS
- Introduction to Problem Solving in AI
- Game Playing with MiniMax Algorithm
- Rule-Based Systems and Expert Systems
- Fundamentals of Natural Language Processing (NLP)
- Building a Simple Rule-Based Chatbot
🟩 Advanced Level
- Informed Search Techniques: A*, Greedy Search
- Constraint Satisfaction Problems
- Machine Translation & Named Entity Recognition
- NLP Libraries: spaCy, NLTK
- Fuzzy Logic Systems
- Reinforcement Learning Concepts
- Building AI Models Using Python Libraries
- Use Cases: AI in Healthcare, Finance, and Robotics
- Project: Intelligent Chatbot with NLP
Learn the fundamentals and write your first scripts, functions, and automation tools.
🟦 Basic Level
- Introduction to Python: Installation & Setup
- Python Syntax, Variables, and Data Types
- Input/Output and Type Conversion
- Conditional Statements (if, elif, else)
- Loops: for, while, nested loops
- Lists, Tuples, Sets, and Dictionaries
- Functions: Defining and Calling Functions
- String Operations and Built-in Methods
- Basic File Handling (Read, Write, Append)
- Mini Projects: Simple Calculator, To-Do App
🟩 Advanced Level
- Object-Oriented Programming (OOP): Classes & Objects
- Inheritance, Encapsulation, and Polymorphism
- Error Handling: try, except, finally
- Working with Modules and Packages
- Python Standard Library (os, datetime, math, etc.)
- List Comprehensions and Lambda Functions
- Introduction to Virtual Environments & pip
- Using External Libraries: NumPy, Pandas (Basics)
- Working with APIs and JSON
- Mini Projects: Quiz App, File Organizer, API Data Fetcher
Train models, analyze data, and use scikit-learn, pandas, etc.
🟦 Basic Level
- Introduction to Machine Learning & Real-world Use Cases
- Types of ML: Supervised, Unsupervised, Reinforcement
- Data Preprocessing: Handling Missing Data, Encoding
- Regression Models: Linear & Logistic
- Classification Models: K-Nearest Neighbors, Decision Trees
- Clustering Algorithms: K-Means
- Model Evaluation Metrics: Accuracy, Confusion Matrix
- Using Scikit-Learn for ML Implementation
- Project: House Price Prediction or Loan Approval
🟩 Advanced Level
- Ensemble Methods: Random Forest, Gradient Boosting
- Dimensionality Reduction: PCA, t-SNE
- Hyperparameter Tuning: Grid Search, Randomized Search
- Cross Validation Techniques
- Introduction to Deep Learning (ANN Basics)
- Time Series Forecasting
- Model Deployment (Flask/Streamlit Basics)
- Project: Customer Churn Prediction or Fraud Detection
Clean data, extract insights, and build dashboards using real datasets.
🟦 Basic Level
- Introduction to Data Science & Lifecycle
- Data Types, Formats, and Sources
- Data Cleaning: Nulls, Duplicates, Outliers
- Data Manipulation using Pandas & NumPy
- Data Aggregation & Grouping Techniques
- Basic Visualization with Matplotlib
- Descriptive Statistics & Exploratory Data Analysis (EDA)
- Project: Sales Report or Weather Data Analysis
🟩 Advanced Level
- Advanced Visualization with Seaborn & Plotly
- Feature Engineering and Data Transformation
- Correlation Analysis & Hypothesis Testing
- Building Interactive Dashboards (Intro to Power BI/Tableau)
- Statistical Distributions & Data Modeling
- Introduction to SQL for Data Analysis
- Real-world Datasets (Kaggle/Google Dataset)
- Project: Marketing Campaign Analysis or E-commerce Dashboard
SUCCESS STORIES
Organizations Where Our Students Are Employed
Tata Technologies
Tech Mahindra
L&T Technology
Haldor Topsoe
Donaldson
Autodesk
ITC Infotech
Kennametal
Icube logics
Altron
Feaurecia
ASM Technologies
Capgemini
Ford
KreativSARG
Donaldson
FAQ
Yes! We offer the first few classes completely free. You can explore the course, experience our teaching style, and decide later if you’d like to upgrade to the advanced modules or project-based training.
No problem. Our course is modular — you can choose to enroll in the entire program or just take specific modules like Python, AI, ML, or Data Science. We also offer project-based training as an add-on.
We offer a combination of live interactive sessions and recorded videos. This gives you the flexibility to learn at your own pace while still having access to expert guidance during live sessions.
Yes. You’ll receive a certificate of completion once you successfully complete the course or any individual module. It highlights the skills learned and projects completed — perfect for your resume or LinkedIn.
Not at all. The course starts from absolute basics, making it perfect for beginners, students, and non-coders. If you’re already experienced, you can skip ahead to advanced or project-based modules.
You’ll work on real-world, portfolio-worthy projects like:
- AI-powered chatbots
- Data dashboards
- ML models for predictions
- Resume screeners
And more, depending on the module chosen.
Yes. We provide career guidance, resume building, interview preparation, and connections to recruiters or companies hiring for relevant roles.
The introductory classes are free. You only pay for advanced modules or project training. Fees are affordable and structured per module. [Download the brochure] or [Contact us] for the latest pricing.
All you need is a computer with internet access. We’ll guide you through installing free tools like Python, Jupyter Notebook, VS Code, and other libraries. No paid software is required.
Just click on “Start Free Classes Now” and register. You’ll instantly get access to the free content and updates about upcoming sessions. No credit card or payment required to begin.
🧭
The best way to get your dream job?
Speak to those who’ve already made it.
Let’s connect you with real professionals who’ve been where you are — and now have the job and salary you dream of. They’re ready to share.
✅ How they landed their dream job.
✅ What they were asked in interviews.
✅ What skills and tools they are using now.
✅ What they do day-to-day in their current role
🛠
Need Hands-On Project Experience?
Hiring managers look for real-world application of your skills — not just course completion.
We assign you to guided project work based on actual industry use cases, giving you the portfolio and experience that recruiters notice.
✅ Mentored, practical project experience
✅ Team-based tasks just like real companies
✅ Proof of work you can showcase in interviews
💬
Not Confident About Interviews?
You’ve got the knowledge. Now let’s make sure you communicate it right.
With mock interviews led by actual professionals, you’ll learn what to say, how to say it, and what hiring managers truly want to hear.
✅ Mock interviews with feedback from experts
✅ Industry-specific question prep
✅ Communication & confidence training
🔍
Curious What Hiring Managers Actually Expect?
Stop guessing. Get the inside story from people who hire.
We bring in working engineers, developers, and HR professionals to give you real insights — not just tips, but the mindset behind selection decisions.
✅ Learn directly from those doing the hiring
✅ Insights into how candidates are evaluated
✅ Tips that actually work — because they’ve been used successfully