Complete Python & AI Automation Masterclass

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 Topics Covered

• Project planning and design
• Code organization best practices
• Documentation with docstrings
• Creating requirements.txt
• Git and GitHub for Python projects

📚 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

📚 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

📚 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

📚 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

📚 Topics Covered

• Full-stack application design
• API documentation
• Security best practices
• Performance optimization
• Deployment strategies

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 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

📚 Topics Covered

• Deep neural networks
• Convolutional Neural Networks (CNN)
• Image classification basics
• Transfer learning
• Recurrent Neural Networks (RNN)
• LSTM and GRU
• PyTorch introduction
• Model training and optimization
• Regularization techniques
• Batch normalization

• Dropout layers
• Model deployment basics

📚 Topics Covered

• End-to-end ML project
• Data pipeline design
• Model training and evaluation
• Model deployment
• API creation for model
• Monitoring and maintenance

📚 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

📚 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

📚 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

📚 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

📚 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

📚 Topics Covered

• RL fundamentals and concepts
• Markov Decision Processes
• Value functions and policies
• Q-Learning algorithm
• Deep Q-Networks (DQN)
• Policy gradient methods
• Actor-Critic methods
• OpenAI Gym environment
• Custom environment creation
• Training RL agents

• Exploration vs exploitation
• Reward shaping

📚 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

📚 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.)

📚 Topics Covered

• Edge computing concepts
• TensorFlow Lite
• Model quantization and pruning
• ONNX format
• Raspberry Pi setup for AI
• Arduino and micro-controllers
• Sensor data processing
• Real-time inference on edge
• IoT protocols: MQTT, CoAP
• Edge-cloud hybrid architectures

• Power optimization for edge AI
• Edge AI deployment strategies

📚 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

📚 Topics Covered

• Distributed systems concepts
• Apache Spark with PySpark
• Distributed data processing
• Spark ML library
• Dask for parallel computing
• Ray framework
• Distributed training strategies
• Data parallelism vs model parallelism
• Apache Kafka integration
• Stream processing with Spark

• Big data storage: HDFS, S3
• Data lake architectures

📚 Topics Covered

• Generative AI: GANs advanced
• Variational Autoencoders (VAE)
• Diffusion models basics
• Neural Architecture Search
• Meta-learning concepts
• Few-shot learning
• Multi-modal learning
• Graph Neural Networks
• Attention mechanisms advanced
• Vision Transformers

• Self-supervised learning
• Contrastive learning

📚 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

📚 Topics Covered

• AI in healthcare
• Financial AI and algorithmic trading
• Autonomous systems basics
• Robotics and AI
• AI for cybersecurity
• Recommendation systems advanced
• Search and ranking algorithms
• AI in gaming
• Speech recognition and synthesis
• Computer-aided design with AI

• Agricultural AI applications
• AI in manufacturing

📚 Topics Covered

• Project ideation and planning
• System architecture design
• Technology stack selection
• Data pipeline design
• Model selection and training
• API design and documentation
• Frontend planning
• Scalability considerations

📚 Topics Covered

• Enterprise AI strategy
• AI governance frameworks
• Data architecture for AI
• Master data management
• Data quality and validation
• ETL/ELT pipelines
• Data warehousing for AI
• Real-time data pipelines
• Event-driven architectures
• Microservices for AI

• API management platforms
• Enterprise security for AI

📚 Topics Covered

• AutoML concepts and tools
• Hyperparameter optimization advanced
• Bayesian optimization
• Neural Architecture Search implementation
• Model compression techniques
• Knowledge distillation
• Quantization strategies
• Pruning neural networks
• Mobile optimization with TFLite
• ONNX optimization

• Hardware acceleration: GPU, TPU
• Benchmarking and profiling

📚 Topics Covered

• Building automation frameworks
• Plugin architectures
• Configuration management
• Workflow orchestration with Airflow
• Luigi for complex pipelines
• Prefect workflow automation
• Event-driven automation
• Webhook integrations
• Custom DSLs for automation
• Error recovery mechanisms

• Monitoring and alerting
• Automation testing strategies

📚 Topics Covered

• Conversational AI architecture
• Intent recognition and NLU
• Dialog management systems
• Context handling in conversations
• Rasa framework deep dive
• Dialogflow integration
• Voice assistants with Python
• Speech recognition integration
• Text-to-speech systems
• Multi-turn conversations

• Chatbot testing and evaluation
• Production chatbot deployment

📚 Topics Covered

• AI product management
• User research for AI products
• MVP development for AI
• User interface for AI systems
• Feedback loops and improvement
• A/B testing AI features
• Product metrics for AI
• User adoption strategies
• Documentation and tutorials
• Community building

• Monetization strategies
• Scaling AI products

📚 Topics Covered

• ERP integration strategies
• CRM system integration
• Salesforce automation with Python
• SAP integration basics
• Microsoft 365 automation
• Google Workspace automation
• Slack bot development
• Teams app development
• Zapier-like automation building
• IFTTT concepts implementation

• Enterprise service bus
• Legacy system integration

📚 Topics Covered

• Data pipeline architecture
• Apache Airflow advanced
• Data quality frameworks
• CDC (Change Data Capture)
• Data versioning strategies
• Feature engineering automation
• Feature stores implementation
• Data catalog systems
• Metadata management
• Data lineage tracking

• DataOps practices
• Real-time analytics systems

📚 Topics Covered

• Anomaly detection systems
• Fraud detection algorithms
• Predictive maintenance
• Supply chain optimization
• Dynamic pricing systems
• Personalization engines
• Content moderation AI
• Document AI and OCR
• Medical imaging AI
• Satellite image analysis

• Audio processing and music AI
• Generative AI applications

📚 Topics Covered

• Performance profiling Python apps
• Memory optimization techniques
• Async programming with asyncio
• Concurrent.futures module
• Multiprocessing strategies
• Cython for performance
• NumPy optimization tricks
• Database query optimization
• Caching strategies with Redis
• Load balancing techniques

• Horizontal scaling patterns
• Performance monitoring tools

📚 Topics Covered

• Open source ecosystem
• Finding projects to contribute
• Understanding codebases
• Git advanced workflows
• Creating pull requests
• Writing good documentation
• Issue tracking and management
• Code review best practices
• Creating your own package
• Publishing to PyPI

• Building community
• Maintaining open source projects

📚 Topics Covered

• Requirements gathering
• System design documentation
• Architecture implementation
• Core functionality development
• Testing implementation
• Performance optimization
• Security implementation
• Documentation writing

📚 Topics Covered

• Production deployment preparation
• CI/CD pipeline setup
• Monitoring and logging setup
• Performance testing
• Security audit
• Load testing
• Disaster recovery planning
• User documentation
• API documentation
• Video demonstrations

📚 Topics Covered

• Portfolio website creation
• Project showcases
• Case study writing
• Technical blog writing
• GitHub profile optimization
• LinkedIn optimization
• Personal branding strategy
• Online presence building
• Networking strategies
• Conference participation

• Tech community involvement
• Content creation planning

📚 Topics Covered

• Python coding interviews
• Data structures and algorithms review
• System design interviews
• ML system design
• Behavioral interview preparation
• STAR method for responses
• Technical presentation skills
• Whiteboard coding practice
• Take-home assignments
• Salary negotiation

• Contract vs full-time
• Remote work considerations

📚 Topics Covered

• Job search strategies
• Resume optimization for ATS
• Cover letter writing
• Job board navigation
• Recruiter engagement
• Company research methods
• Application tracking
• Follow-up strategies
• Interview scheduling
• Reference preparation

• Background check preparation
• Offer evaluation

📚 Topics Covered

• Freelancing platforms
• Client acquisition
• Project scoping and estimation
• Contract negotiation
• Rate setting strategies
• Invoice and payment systems
• Client communication
• Project management for freelancers
• Building recurring revenue
• Scaling freelance business

• Tax considerations
• Legal aspects of freelancing

📚 Topics Covered

• Staying updated with AI trends
• Advanced certifications to pursue
• Conference and workshop participation
• Research paper reading strategies
• Building a learning routine
• Mentorship and coaching
• Teaching and knowledge sharing
• Side project ideas
• Startup opportunities in AI
• Career progression paths

• Leadership in tech
• Future of AI and automation