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This course teaches Python with Artificial Intelligence and Machine Learning.You will learn to build smart systems using real-world data.
The program covers AI concepts, model building, and deployment.It prepares you for careers in AI, ML, and data science.
• Python Architecture & Environment Setup
• Variables, Data Types & Control Flow
• Functions, Modules & Packages
• Object-Oriented Programming (OOP)
• Exception Handling & File Operations
• Data Structures & Algorithms in Python
• List, Dictionary & Set Comprehensions
• Lambda Functions & Functional Programming
• Decorators & Generators
• Multithreading & Async Programming
• Working with APIs & JSON
• NumPy for Numerical Computing
• Pandas for Data Analysis & Manipulation
• Data Cleaning & Preprocessing Techniques
• Exploratory Data Analysis (EDA)
• Data Visualization with Matplotlib & Seaborn
• Probability & Statistical Concepts
• Descriptive & Inferential Statistics
• Linear Algebra Essentials
• Optimization Techniques
• Understanding Bias, Variance & Overfitting
• Introduction to Artificial Intelligence
• Search Algorithms & Problem Solving
• Knowledge Representation
• Rule-Based & Expert Systems
• AI Use Cases in Industry
• Supervised & Unsupervised Learning
• Regression & Classification Algorithms
• Decision Trees, Random Forest & SVM
• Clustering Techniques & Dimensionality Reduction
• Model Evaluation & Performance Metrics
• Neural Network Fundamentals
• Artificial Neural Networks (ANN)
• Introduction to CNN & RNN
• Deep Learning with TensorFlow & Keras
• Model Training & Optimization
• Introduction to Generative AI
• Prompt Engineering for Developers
• AI Chatbots & Intelligent Assistants
• Integration with AI APIs
• Ethical AI & Responsible AI Practices
• Model Serialization (Pickle / Joblib)
• Building AI APIs using Flask / FastAPI
• Deployment on Cloud Platforms
• Model Monitoring & Versioning
• Introduction to MLOps Concepts
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