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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.
AI/ML Engineering: 100 Hours Training | 3 Months | ₹29,000 (3 installments)
Data Science Engineering: 100 Hours Training | 3 Months | ₹29,000 (3 installments)
Unlimited training in Python, AI, ML & Data Science, just ₹39,000 for 6 Months!
Get Full Access to All Trainers, All Courses, and All Projects!
Why Learn Python, AI, ML or Data Science
- 10,000+ Python jobs currently open across India
- Versatile Language used in web development, automation, data analysis, AI, and scripting
- Easy to Learn, Powerful to Use — ideal for beginners and advanced developers alike
- Foundation for ML, AI & Data Science
- Used by top companies like Google, Netflix, and Instagram
For more details on Python Training Go To Python Course Page
- Market Boom: India’s AI market to grow from ₹66,000 Cr ($8B) in 2025 to ₹1.4 Lakh Cr ($17B) by 2027
- Cross-Industry Demand: Fintech, healthcare, robotics, and defense are all investing in AI
- Solving Real Problems: AI powers fraud detection, medical diagnostics, smart assistants & more
- Backbone of Emerging Tech: GenAI, NLP, robotics, automation
- Talent Gap: Only 1 skilled GenAI engineer per 10 open roles — huge opportunity
For more details on AI Training Go To AI Course Page, AI Project Based Training
- High Salaries: ₹18–₹25 LPA for skilled ML professionals
- Used in Predictive Analytics, Recommendation Systems, Risk Analysis
- Hired by Top Companies like Amazon, Flipkart, Zomato, and Paytm
- Career Switch Friendly: IT pros and software engineers are rapidly moving into ML roles
- In-Demand Globally — not just in India
For more details on ML Training Go To ML Course Page
- Explosive Growth: Over 70 lakh (7 million) data science jobs expected by 2025
- Projected 1.1 crore jobs in AI/ML/Data Science by 2026
- Crucial for Business Decisions — every industry runs on data now
- Used in Finance, Marketing, Healthcare, and Retail
- Combines Statistics, Coding, and Business — perfect for analytical minds
For more details on Data Science Training Go To Data Science Course Page
Get Access to All These Projects
Project 1
IT Support Agentic AI
IT Support Agentic AI Project Course
Project 2
Intelligent Manufacturing Quality Control System For Tire Production
Intelligent Manufacturing Quality Control System For Tire Production
Project 3
Rag (Retrieval Argument Generation)
Rag (Retrieval Argument Generation)
Project 4
Image Classification Using Naive & Deep Learning Techniques
Image Classification Using Naive & Deep Learning Techniques
Project 5
Brain Stroke Prediction using OpenCV and CNN
Brain Stroke Prediction using OpenCV and CNN
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
- Python Programming Fundamentals (Variables, Lists, Loops, Functions)
- Git & Version Control (GitHub Integration)
- Data Cleaning: Nulls, Duplicates, Outliers
- Data Manipulation using Pandas & NumPy
- Data Aggregation & Grouping Techniques
- Basic Visualization with Matplotlib & Seaborn
- Descriptive Statistics & Exploratory Data Analysis (EDA)
Mini Project: Sales Report or Weather Data Analysis
- 🟩 Advanced Level
- Big Data with Apache Spark (RDD & DataFrames)
- Advanced SQL – Window Functions & CTEs
- Feature Engineering – Encoding, Scaling, Outlier Handling
- Dimensionality Reduction & Clustering – PCA, KMeans, Hierarchical
- Advanced Statistics – A/B Testing, ANOVA, Chi-Square, Regression Diagnostics
- Time Series Forecasting – ARIMA, Prophet, Seasonal Decomposition
- BI Tools & Storytelling – Interactive Dashboards in Power BI/Tableau
- Automated Reporting & Insight Generation
- Gen AI for Data Analytics & LLM-Based Insights
Capstone Project: - Big Data + ML + BI Dashboard
- Gen AI for Automated Analytics
- Storytelling & Final Presentation
Syllabus AI / ML Engineer
Build intelligent AI models, deploy ML solutions, and integrate Gen AI.
- 🟦 Basic Level
- Introduction to AI, ML, and Deep Learning
- Python for AI/ML: Data Types, Functions, OOP Basics
- NumPy & Pandas for Data Handling
- Data Visualization: Matplotlib & Seaborn
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- ML Model Lifecycle
- Scikit-Learn Basics: Linear & Logistic Regression, Decision Trees
- Intro to Generative AI and Large Language Models (LLMs)
- Project: Predictive Model (e.g., House Price or Spam Classifier)
- 🟩 Advanced Level
- Deep Learning with TensorFlow & PyTorch
- Convolutional Neural Networks (CNN) for Computer Vision
- Natural Language Processing (NLP) Basics & Embeddings
- Hugging Face & Transformer Models
- Prompt Engineering & Mini LLM Applications
- Agentic AI: ReAct Framework, LangChain, LlamaIndex
- Retrieval-Augmented Generation (RAG) for AI Chatbots
- Model Deployment with Flask/FastAPI and Intro to MLOps
- Project: End-to-End AI/ML Application with Gen AI Integration
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 6months unlimited training is offered at ₹39,000(Installment).
- AI/ML Engineering: 100 Hours Training | 3 Months | ₹29,000 (3 installments)
- Data Science Engineering: 100 Hours Training | 3 Months | ₹29,000 (3 installments)
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 Learn from Only One Trainer?
Don’t limit yourself to one style or perspective.
✅ Learn from Multiple Expert Trainers
✅ Diverse Teaching Styles & Real-World Expertise
✅ Comprehensive Coverage & Latest Tools
What one trainer can’t cover, a team of experts can!
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