Course Overview
This course covers the core principles of Machine Learning and Artificial Intelligence, focusing on algorithms, neural networks, and AI-driven applications. Using tools like TensorFlow, Scikit-Learn, and Python, students will learn to develop and deploy intelligent systems for automation and decision-making.
What You'll Learn in This Course:
- Understand the key concepts, types of machine learning, and AI applications.
- Train models for classification, regression, and clustering.
- Build AI models with TensorFlow, Keras, and PyTorch.
- Develop AI solutions for text and speech recognition.
- Implement AI models for image recognition and decision-making tasks.
- Apply ML and AI to healthcare, finance, robotics, and automation.
This course will equip you with the knowledge and hands-on experience to develop intelligent AI systems, automate decision-making, and build advanced machine learning models for real-world applications.
Course Content
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1.1 Introduction to ML & AI
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1.2 Data Preprocessing & Feature Engineering
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1.3 Regression Models
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1.4 Classification Models
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2.1 Ensemble Learning
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2.2 Support Vector Machines (SVM) & Hyperparameter Tuning
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2.3 Clustering & Dimensionality Reduction
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2.4 Model Evaluation & Metrics
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3.1 Introduction to Deep Learning
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3.2 Backpropagation & Neural Network Implementation
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3.3 Convolutional Neural Networks (CNN)
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3.4 CNN Architectures & Image Classification
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4.1 NLP Basics
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4.2 Word Embeddings & Sentiment Analysis
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4.3 RNNs & Text Generation
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4.4 NLP Mini-Project
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5.1 Introduction to Reinforcement Learning
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5.2 Advanced RL Techniques
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5.3 Model Deployment
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5.4 Deployment Mini-Project
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6.1 End-to-End Data Science Project Setup
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6.2 Model Selection & Fine-Tuning
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6.3 Resume Building & Portfolio Projects
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6.4 Final Capstone Project
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7.1 Python, Machine Learning, and Deep Learning Basics
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7.2 Introduction to Generative Models
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7.3 Large Language Models (LLMs)
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7.4 LLM Fine-Tuning
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8.1 Retrieval-Augmented Generation (RAG)
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8.2 Agents and Autonomous Systems
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8.3 Optimization & Deployment
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8.4 Capstone Project
