Python & AI Automation Masterclass
Make the computer do the work: Python properly, then scraping, browser automation and RPA, then applied AI that reads documents, text and time series.
Syllabus updated August 2026
Flexible course duration
Duration depends on the student's background and pace. Beginners (kids / teens): typically 6 to 9 months. Adults with prior knowledge: often shorter, with an accelerated path.
For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.
Ready to Master Python Automation Course: Scripting, Scraping & Applied AI?
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International Students (Outside India)
Billed monthly in US dollars, the same price in every country. Contact us with any questions.
Program Overview
The most immediately useful programming skill in any office is automation: the report that assembles itself, the data that collects itself, the document pile that processes itself overnight. This live online masterclass builds that skill honestly: Python learned properly first, then the automation core, web scraping done right, Selenium and browser automation, RPA patterns, APIs and scheduled pipelines with testing and security habits, then the applied AI layer that multiplies it: computer vision for documents and images, NLP and transformers for text, time series for forecasts, cloud AI services used with judgment, and the honest ethics of automating decisions. A finale month ships an end-to-end automation capstone and sits the final exam.
The pace is honest: ten teaching months at two live classes a week plus four to six hours of practice, with two more in hand. Problem sets, monthly mixed reviews, phase exams, and a final exam that decides the certificate with a free retest.
What Makes This Program Different
- Automation-first, not research-first: every AI topic earns its place by automating real work
- Scraping taught responsibly: robots.txt, rate limits and terms, the professional way
- Applied AI with judgment: when a cloud API beats a hand-built model, we say so
- Pipelines that run unattended: scheduling, logging and failure handling as first-class topics
- An honest 10-month arc with 2 months in hand
- Real assessment: weekly problem sets, monthly mixed reviews, phase exams and a final exam with a free retest
Your Learning Journey
Career Progression
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
Topics Covered
- What is Python? History and why it's perfect for automation
- Python ecosystem: CPython, PyPy, Anaconda
- Installing Python 3.x on Windows, Mac, Linux
- IDE setup: VS Code, PyCharm, Jupyter Notebook
- Virtual environments: venv, virtualenv, conda
- Package management with pip
- Your first Python program
- Python interactive shell and REPL
- Basic input/output operations
- Comments and documentation
- Python code style guide (PEP 8)
- Introduction to Python's philosophy
Projects You Build
- Set up complete Python development environment
- Simple calculator program
- Personal information collector
Practice & Assignments
Daily: 30 min coding exercises, 1 hour Python basics
Topics Covered
- Variables and naming conventions
- Dynamic typing in Python
- Basic data types: int, float, str, bool
- Type conversion and casting
- Numbers: integers, floats, complex
- Arithmetic operators and precedence
- String creation and manipulation
- String methods: upper, lower, strip, split, join
- String formatting: f-strings, format(), %
- String slicing and indexing
- Boolean operations and truth values
- Comparison and logical operators
Projects You Build
- Temperature converter (C/F/K)
- Text analyzer and formatter
- Simple encryption/decryption tool
Practice & Assignments
Complete 50 string manipulation exercises
Topics Covered
- If-elif-else statements
- Nested conditional statements
- Ternary operators
- While loops and break/continue
- For loops and range() function
- Iterating through sequences
- Nested loops and patterns
- Loop else clause
- List comprehensions introduction
- Common loop patterns
- Debugging techniques
- Error messages and troubleshooting
Projects You Build
- Number guessing game
- Pattern generator (pyramids, diamonds)
- Prime number calculator
- Password strength validator
Practice & Assignments
Solve 40 loop and condition problems
Topics Covered
- Lists: creation, indexing, slicing
- List methods: append, extend, insert, remove, pop
- List comprehensions advanced
- Tuples: immutable sequences
- Sets: unique elements, set operations
- Dictionaries: key-value pairs
- Dictionary methods and operations
- Nested data structures
- Copying: shallow vs deep copy
- Memory management basics
- Collections module: defaultdict, Counter, deque
- Data structure performance comparison
Projects You Build
- Student management system
- Shopping cart application
- Contact book with search
- Data structure performance analyzer
Practice & Assignments
Build 10 programs using different data structures
Topics Covered
- Function definition and calling
- Parameters and arguments
- Default parameters and keyword arguments
- *args and **kwargs
- Return values and multiple returns
- Scope and LEGB rule
- Global and nonlocal keywords
- Lambda functions
- Map, filter, and reduce
- Decorators basics
- Generators and yield
- Recursion and recursive algorithms
Projects You Build
- Modular calculator with functions
- Recursive file system explorer
- Function library for text processing
- Custom decorator collection
Practice & Assignments
Create 30 reusable utility functions
Topics Covered
- Classes and objects
- Attributes and methods
- Constructor (__init__)
- Instance vs class variables
- Inheritance and polymorphism
- Method overriding
- Multiple inheritance and MRO
- Abstract classes and interfaces
- Magic methods (dunder methods)
- Property decorators
- Static and class methods
- SOLID principles in Python
Projects You Build
- Bank account management system
- Employee hierarchy system
- Game character classes
- Library management OOP
Practice & Assignments
Design 10 real-world systems using OOP
Topics Covered
- Modules and import statements
- Creating custom modules
- Package structure and __init__.py
- Relative and absolute imports
- The Python Standard Library tour
- Exception handling: try, except, finally
- Raising custom exceptions
- Exception hierarchy
- Logging module usage
- Debugging with pdb
- Unit testing with unittest
- Test-driven development basics
Projects You Build
- Custom package for utilities
- Error handling framework
- Logging system implementation
- Test suite for previous projects
Practice & Assignments
Add proper error handling to all previous projects
Topics Covered
- File operations: open, read, write, close
- Context managers (with statement)
- Text file processing
- CSV file handling
- JSON data manipulation
- XML parsing basics
- Binary file operations
- Path manipulation with pathlib
- Directory operations
- Regular expressions with re module
- Pattern matching and extraction
- Data serialization with pickle
Projects You Build
- Log file analyzer
- CSV to JSON converter
- Bulk file renamer
- Text search and replace tool
Practice & Assignments
Process 20 different file formats
Topics Covered
- Iterators and iteration protocol
- Creating custom iterators
- Generator expressions
- Coroutines and async basics
- Context managers and contextlib
- Metaclasses introduction
- Descriptors and properties
- Abstract base classes
- Multiple inheritance patterns
- Mixin classes
- Design patterns in Python
- Performance optimization techniques
Projects You Build
- Custom data structure library
- Async task processor
- Plugin system architecture
- Performance monitoring tool
Practice & Assignments
Implement 10 design patterns in Python
Topics Covered
- SQLite with Python
- SQL basics: CREATE, INSERT, SELECT, UPDATE, DELETE
- Database connections and cursors
- Parameterized queries and SQL injection prevention
- PostgreSQL with psycopg2
- MySQL with PyMySQL
- MongoDB with pymongo
- SQLAlchemy ORM basics
- Database migrations
- Connection pooling
- Redis for caching
- Database backup and restore
Projects You Build
- Inventory management system
- Blog platform backend
- User authentication system
- Data migration tool
Practice & Assignments
Build 5 database-driven applications
Topics Covered
- HTTP protocol basics
- Flask framework introduction
- Routes and views in Flask
- Templates with Jinja2
- Forms and validation
- Session management
- RESTful API design
- FastAPI framework
- Django basics
- MVC/MVT architecture
- Authentication and authorization
- Deployment basics
Projects You Build
- Personal blog with Flask
- REST API for todo app
- FastAPI microservice
- Django admin panel
Practice & Assignments
Create 5 different web applications
Topics Covered
- Sockets programming basics
- TCP and UDP protocols
- Creating client-server applications
- HTTP requests with requests library
- Consuming REST APIs
- API authentication methods
- GraphQL with Python
- WebSocket connections
- Email automation with smtplib
- SSH connections with paramiko
- FTP operations
- Network security basics
Projects You Build
- Chat application (client-server)
- API aggregator service
- Email automation system
- Network monitoring tool
Practice & Assignments
Integrate with 10 different APIs
Assessment
Phase 1 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- HTML/CSS basics for scraping
- BeautifulSoup library
- Parsing HTML documents
- Finding elements: find, find_all
- CSS selectors in BeautifulSoup
- Navigating the parse tree
- Extracting text and attributes
- Handling dynamic content basics
- robots.txt and ethical scraping
- User-Agent headers
- Rate limiting and delays
- Scraping best practices
Projects You Build
- News article scraper
- Product price monitor
- Job listing aggregator
- Wikipedia data extractor
Practice & Assignments
Scrape 20 different websites
Topics Covered
- Scrapy framework introduction
- Scrapy spiders and items
- Scrapy pipelines
- Handling pagination
- Following links recursively
- Handling forms and CSRF tokens
- Session management in scraping
- Proxy rotation
- Handling CAPTCHAs
- Scraping JavaScript-rendered pages
- API reverse engineering
- Data cleaning and validation
Projects You Build
- E-commerce site scraper with Scrapy
- Social media data collector
- Real estate listing scraper
- Multi-site comparison tool
Practice & Assignments
Build 10 production-ready scrapers
Topics Covered
- Selenium WebDriver setup
- Browser drivers: Chrome, Firefox, Edge
- Finding elements with Selenium
- Interacting with elements: click, send_keys
- Waiting strategies: implicit, explicit, fluent
- Expected conditions
- Handling popups and alerts
- Frame and window switching
- JavaScript execution
- Screenshots and video recording
- Headless browser mode
- Selenium Grid for parallel execution
Projects You Build
- Automated form filler
- Social media bot
- Web testing automation suite
- Booking automation system
Practice & Assignments
Automate 15 web workflows
Topics Covered
- Playwright introduction
- Playwright vs Selenium comparison
- Puppeteer with Pyppeteer
- Requests-HTML for JavaScript sites
- MechanicalSoup for simple automation
- AutoGUI for desktop automation
- Keyboard and mouse control
- Screen capture and OCR
- Task scheduling with schedule library
- Cron jobs and task schedulers
- Windows Task Scheduler integration
- Building automation frameworks
Projects You Build
- Desktop automation suite
- Cross-browser testing tool
- Automated report generator
- System administration automator
Practice & Assignments
Create 10 different automation workflows
Topics Covered
- NumPy arrays and operations
- Pandas DataFrames basics
- Data loading and saving
- Data cleaning with Pandas
- Data transformation and aggregation
- Merge, join, and concatenate
- GroupBy operations
- Time series data handling
- Data visualization with Matplotlib
- Seaborn for statistical plots
- Plotly for interactive visualizations
- Creating automated reports
Projects You Build
- Sales data analysis dashboard
- Stock market analyzer
- Survey data processor
- Automated reporting system
Practice & Assignments
Analyze 10 real-world datasets
Topics Covered
- Robotic Process Automation concepts
- Python RPA libraries
- UiPath integration with Python
- Email automation advanced
- Excel automation with openpyxl
- Word document automation
- PDF processing and generation
- PowerPoint automation
- Calendar and scheduling automation
- Database automation workflows
- File system monitoring
- Process orchestration
Projects You Build
- Invoice processing system
- HR onboarding automation
- Report generation pipeline
- Document management system
Practice & Assignments
Automate 10 business processes
Topics Covered
- RESTful API design principles
- FastAPI advanced features
- API versioning strategies
- Authentication: JWT, OAuth2
- Rate limiting and throttling
- API documentation with Swagger
- GraphQL API development
- Microservices architecture
- Message queues: RabbitMQ, Celery
- Event-driven architecture
- Service discovery
- API gateway patterns
Projects You Build
- Complete REST API with auth
- Microservices e-commerce backend
- Real-time notification service
- API gateway implementation
Practice & Assignments
Build 5 production APIs
Topics Covered
- AWS SDK for Python (boto3)
- EC2 instance management
- S3 operations and automation
- Lambda functions with Python
- SQS and SNS integration
- Google Cloud Platform basics
- Azure SDK for Python
- Infrastructure as Code with Python
- Docker containerization
- Kubernetes with Python client
- CI/CD pipeline automation
- Monitoring and alerting
Projects You Build
- Cloud resource manager
- Serverless data processor
- Auto-scaling application
- Infrastructure automation tool
Practice & Assignments
Deploy 10 applications to cloud
Topics Covered
- Unit testing with pytest
- Test fixtures and parametrization
- Mocking and patching
- Integration testing strategies
- API testing with pytest
- Selenium for test automation
- Performance testing with Locust
- Load testing strategies
- Security testing basics
- Code coverage analysis
- Continuous testing
- Test reporting and documentation
Projects You Build
- Complete test suite for API
- E2E testing framework
- Performance testing suite
- Automated regression tests
Practice & Assignments
Write tests for all previous projects
Topics Covered
- Security in Python applications
- Input validation and sanitization
- SQL injection prevention
- XSS and CSRF protection
- Password hashing with bcrypt
- Encryption with cryptography library
- Secure API development
- Environment variables and secrets
- Security scanning tools
- OWASP Top 10 for Python
- Audit logging
- Compliance and regulations
Projects You Build
- Security audit tool
- Encryption utility suite
- Secure authentication system
- Compliance checker tool
Practice & Assignments
Security audit all projects
Topics Covered
- What is Machine Learning?
- Types: Supervised, Unsupervised, Reinforcement
- ML workflow and pipeline
- Data preprocessing techniques
- Feature engineering basics
- Train-test split
- Cross-validation
- Evaluation metrics
- Overfitting and underfitting
- Bias-variance tradeoff
- Scikit-learn introduction
- Model selection strategies
Projects You Build
- Iris classification project
- House price prediction
- Customer segmentation
- Basic recommendation system
Practice & Assignments
Complete 10 ML tutorials
Topics Covered
- Linear regression
- Logistic regression
- Decision trees
- Random forests
- Support Vector Machines
- K-Nearest Neighbors
- Naive Bayes
- Gradient Boosting (XGBoost, LightGBM)
- Ensemble methods
- Hyperparameter tuning
- Grid search and random search
- Feature importance analysis
Projects You Build
- Credit risk assessment
- Sales forecasting model
- Email spam classifier
- Disease prediction system
Practice & Assignments
Implement all algorithms from scratch
Topics Covered
- K-Means clustering
- Hierarchical clustering
- DBSCAN
- Principal Component Analysis
- Dimensionality reduction
- Anomaly detection
- Association rules
- Introduction to neural networks
- Perceptron and backpropagation
- Activation functions
- TensorFlow basics
- Keras API
Projects You Build
- Customer segmentation advanced
- Anomaly detection system
- Market basket analysis
- Simple neural network from scratch
Practice & Assignments
Solve 15 unsupervised learning problems
Assessment
Phase 2 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Digital image basics
- OpenCV installation and setup
- Image loading and display
- Color spaces: RGB, HSV, LAB
- Image transformations
- Geometric transformations
- Image filtering and blurring
- Edge detection: Canny, Sobel
- Morphological operations
- Histogram equalization
- Image thresholding
- Contour detection
Projects You Build
- Image enhancement tool
- Document scanner
- Photo editor with filters
- Edge detection application
Practice & Assignments
Process 100 different images
Topics Covered
- Feature detection: SIFT, SURF, ORB
- Feature matching
- Object detection basics
- Haar Cascades
- Face detection and recognition
- Object tracking algorithms
- Optical flow
- Background subtraction
- Template matching
- Image segmentation
- Panorama stitching
- 3D reconstruction basics
Projects You Build
- Face recognition system
- Object tracking application
- Motion detection security system
- Augmented reality basics
Practice & Assignments
Build 10 computer vision applications
Topics Covered
- CNN architectures: LeNet, AlexNet, VGG
- ResNet and skip connections
- Object detection: YOLO, R-CNN
- Semantic segmentation
- Instance segmentation
- Face recognition with deep learning
- Pose estimation
- Image generation: GANs basics
- Style transfer
- Image super-resolution
- Video analysis with deep learning
- Real-time processing optimization
Projects You Build
- Custom object detector
- Real-time face mask detector
- Pose estimation fitness app
- Style transfer application
Practice & Assignments
Train 15 vision models
Topics Covered
- NLP fundamentals
- Text preprocessing: tokenization, stemming
- Lemmatization and POS tagging
- Named Entity Recognition
- Bag of Words and TF-IDF
- Word embeddings: Word2Vec, GloVe
- Sentiment analysis techniques
- Topic modeling: LDA
- Text classification
- Sequence-to-sequence models
- Attention mechanisms
- BERT and Transformers introduction
Projects You Build
- Sentiment analysis API
- Text summarization tool
- Named entity extraction system
- Language detection service
Practice & Assignments
Process 50 text datasets
Topics Covered
- Transformer architecture deep dive
- Hugging Face library
- Pre-trained models: BERT, GPT, RoBERTa
- Fine-tuning transformers
- Text generation with GPT
- Question answering systems
- Text translation
- Chatbot development
- Document similarity
- Information extraction
- Multi-lingual NLP
- NLP model deployment
Projects You Build
- AI chatbot with transformers
- Document Q&A system
- Multi-language translator
- Content generation tool
Practice & Assignments
Fine-tune 10 transformer models
Topics Covered
- Time series analysis basics
- Trend and seasonality
- Stationarity testing
- ARIMA models
- Seasonal ARIMA (SARIMA)
- Exponential smoothing
- Prophet library
- LSTM for time series
- Multi-variate time series
- Anomaly detection in time series
- Real-time forecasting
- Evaluation metrics for forecasting
Projects You Build
- Stock price predictor
- Weather forecasting system
- Sales forecasting tool
- Anomaly detection for IoT
Practice & Assignments
Forecast 20 different time series
Topics Covered
- AI bias and fairness
- Ethical considerations in AI
- Privacy-preserving ML
- Federated learning basics
- Model interpretability
- LIME and SHAP
- Feature importance visualization
- Model debugging techniques
- Adversarial attacks and defense
- Responsible AI practices
- AI governance
- Regulatory compliance (GDPR, etc.)
Projects You Build
- Bias detection tool
- Model explainability dashboard
- Privacy-preserving ML system
- AI audit framework
Practice & Assignments
Audit 10 AI models for bias and fairness
Topics Covered
- MLOps principles and practices
- Model versioning with DVC
- Experiment tracking: MLflow, Weights & Biases
- Model registry and management
- Continuous integration for ML
- Model monitoring in production
- A/B testing for ML
- Model retraining pipelines
- Feature stores
- Model serving: REST, gRPC
- Kubernetes for ML workloads
- Cost optimization for ML
Projects You Build
- Complete MLOps pipeline
- Model monitoring dashboard
- Automated retraining system
- ML experiment tracker
Practice & Assignments
Set up MLOps for 5 projects
Topics Covered
- AWS SageMaker
- Google Cloud AI Platform
- Azure Machine Learning
- Model deployment strategies
- Serverless AI with Lambda
- Container deployment for ML
- Model serving with TorchServe
- TensorFlow Serving
- API Gateway for ML models
- Load balancing for ML
- Auto-scaling ML services
- Cost management for cloud AI
Projects You Build
- Deploy model to all major clouds
- Serverless ML API
- Auto-scaling ML service
- Multi-cloud AI deployment
Practice & Assignments
Deploy 15 models to production
Assessment
Phase 3 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Choosing the capstone: an end-to-end automation: a scraping-to-report pipeline, a document AI processor or a business workflow bot
- A one-page spec: scope, milestones, stack
- Repository and skeleton ready on day one
- Instructor sign-off before the build begins
Projects You Build
- Approved capstone spec plus the running skeleton
Practice & Assignments
Pitch the spec to the batch and absorb one hard question
Topics Covered
- Two focused weeks in vertical slices
- Instructor checkpoints and honest scope cuts
- Using the whole course: Python depth, scraping and browser automation, applied AI and scheduled pipelines
- Daily commits and an always-working build
Projects You Build
- The capstone, feature-complete with version control
Practice & Assignments
A working build at the end of every session
Topics Covered
- The finishing pass: edge cases, errors, documentation
- Scheduled and unattended: the automation running on its own, with logging you can trust
- A README worth reading and a demo worth watching
- A full-course spiral review before the exam
Projects You Build
- The capstone shipped, documented and rehearsed
Practice & Assignments
Two mock demos, each tighter than the last
Topics Covered
- Presenting the capstone: live demo plus the hardest bug story
- The honest map of next roads: automation engineering, data engineering, or deeper machine learning
- Where our other courses continue the journey
Projects You Build
- Demo day presentation delivered to the batch
Assessment
FINAL EXAM: a practical build plus a written paper with questions mixed from every phase. Passing earns the certificate; falling short earns a focused revision plan and a free retest
Projects You'll Build
Build a professional portfolio with 20+ real automations, crowned by an unattended end-to-end capstone real-world projects.
Weekly Learning Structure
Certification & Recognition
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Support & Resources
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Who Is This Course For?
Career Paths After Completion
Salary & Market Context
The ranges below are general market salary bands for these roles in India and abroad, drawn from public industry data. They are shown for career context only and are not a promise or guarantee of income. Actual pay depends on your skills, experience, location, and the job market.
Course Guarantees
Real students. Real moments. Real joy.
These are our actual student meetups. No stock photos, no filters. Swipe through and meet the community you'll be joining.
What families say
Straight from the parents and students who learn with us. Rated 4.9 across 547 Google reviews.
“Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding… truly amazing class.”
“I absolutely love it here! I made new friends and learned important valuable coding skills while having the fun of my life. It's not just coding here, it's outings, bonding and most importantly preparing you for your future. Definitely five stars.”
“What stands out most is how excited my son is before every class. He looks forward to learning, problem-solving, and sharing what he's built. I've noticed a big boost in his confidence!”
“Modern Age Coders has been a game-changer for me! I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I'm now the topper in my class and can confidently write complex programs with ease.”
“Modern Age Coder have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence, keeps them updated with technology, and inspires them to learn without hesitation.”
“The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it.”
“Coding classes here make learning very interesting and conceptual. The teachers teach us in a very easy-to-understand and efficient manner.”
“One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development. Learning here has been a wonderful journey and still continuing.”
“I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding. They make every session engaging and insightful.”
“My child Dhairya is really enjoying the Modern Age Coder IT classes. This is his first online class, and he eagerly looks forward to it.”
“Very good classes. Don't worry about coding. They teach the best, especially Shivam sir.”
“Very good classes. Makes learning very easy and interactive.”
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