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Python, AI, ML / Data Science

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No Upfront Fees — Learn First, Pay Only When You’re Happy
Learn everything or only a specific module or even a single project.

Unlimited training in Python, AI, ML & Data Science, just ₹59,000 for 1 Year!

Get Full Access to All Trainers, All Courses, and All Projects!

Why Learn Python, AI, ML or Data Science

Get Access to All These Projects

Project 1

IT Support Agentic AI

Build an automated IT ticketing system using multi-agent architecture, deep learning, and MLOps to classify, route, and resolve tickets with minimal human intervention.

IT Support Agentic AI Project Course

06 lessons - 10:00 hours
View Course

Project 2

Intelligent Manufacturing Quality Control System For Tire Production

AI-driven computer vision system to monitor tyre production and detect real-time anomalies. Integrated with a GenAI pipeline for root cause analysis and deployed on AWS to boost efficiency and quality compliance.

Intelligent Manufacturing Quality Control System For Tire Production

05 lessons - 05:00 hours
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Project 3

Rag (Retrieval Argument Generation)

Optimized large language model outputs by integrating authoritative external knowledge bases, enhancing accuracy and relevance beyond pre-trained data sources.

Rag (Retrieval Argument Generation)

07 lessons - 15:00 hours
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Project 4

Image Classification Using Naive & Deep Learning Techniques

Developed an image classification system using HOG for feature extraction and SVM for classification, following a classical computer vision pipeline.

Image Classification Using Naive & Deep Learning Techniques

05 lessons - 10:00 hours
View Course

Project 5

Brain Stroke Prediction using OpenCV and CNN

Developed a deep learning-based system to predict brain strokes from MRI scans using computer vision techniques with OpenCV.

Brain Stroke Prediction using OpenCV and CNN

06 lessons - 13:00 hours
View Course

Syllabus Python Programming

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

Syllabus Artificial Intelligence (AI)

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

Syllabus Machine Learning (ML)

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

Syllabus Data Science & Visualization

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

FAQ

You can access all available courses (Python, AI, ML, Data Science, etc.) for a full year. Revisit sessions, attend live classes, and repeat topics anytime.

The 1-year unlimited training is offered at ₹59,000. You also get the first month risk-free — pay only if you’re satisfied.

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.

Yes! You’ll learn from a pool of expert trainers specializing in different domains. This ensures broader exposure and deeper understanding.

Not at all. All classes are online and flexible — designed for working professionals and students alike.

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.

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. We focus on project-based learning. You’ll build real-time projects to understand practical implementation.

Absolutely! We provide doubt-clearing sessions and post-class support via chat, calls, and email.

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.

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.

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 “Join Now – Pay After You Learn” and register. You’ll instantly get access to the free content and updates about upcoming sessions. No credit card or payment required to begin.

Yes, we specialize in helping businesses find and hire the right talent. Our HR and recruitment services are tailored to meet your company’s specific hiring needs. Contact us to learn how we can support your hiring process.
Please visit our page : WoCons – Custom AI & CAD Solutions | Bengaluru

💡

Why Learn from Only One Trainer?

Why limit your learning to one perspective, one style, or one experience?

Don’t settle for one mind, Learn from many and build a stronger future.

 

✅ Experience Diverse Teaching Styles, Real-World Expertise, and Comprehensive Coverage 

— Stay Updated with Fresh Insights from a Team of Industry Professionals.

✅ Learn through Diverse Teaching Styles as Each Trainer Simplifies Complex Topics Uniquely.

✅ Gain Real-World Expertise by Learning from Professionals Who’ve Been There and Done That.

✅ Learn from Multiple Expert Trainers and Gain Insights from Industry Leaders Across Domains.

✅ Get Comprehensive Coverage — What One Trainer Can’t Master Alone, a Team of Experts Can.

✅ Stay Updated and Relevant with Fresh Insights, the Latest Tools, and Modern Practices from Diverse Experts.

🧭

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

GET IN TOUCH

Let our executive call you back with complete information