Artificial Intelligence & Machine Learning
Duration: 30 Hours
Learn the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) in this hands-on 30-hour course. Explore key concepts, algorithms, and real-world applications, from supervised and unsupervised learning to neural networks, deep learning, and generative AI. Gain practical skills in building, deploying, and evaluating ML models using tools like Streamlit and OpenAI API.
The course also covers AI ethics, fairness, and governance, preparing you to responsibly apply AI in real-world scenarios. Ideal for aspiring data scientists, developers, and AI enthusiasts looking to upskill.
Key Takeaways:
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Implement ML models for real-world problems
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Deploy AI applications with hands-on tools
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Understand generative AI and prompt engineering
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Learn ethical and responsible AI practices
- 7 Sections
- 0 Lessons
- 35 Hours
- Module 1: Introduction to AI & ML (3 Hours)● What is AI? What is ML?
● History and evolution of AI/ML
● Types of AI: ANI, AGI, ASI
● Real-world AI/ML applications0 - Module 2: Supervised Learning (6 Hours)● Regression vs. Classification
● Linear Regression
● Logistic Regression
● Decision Trees, Random Forests
● Model Evaluation Metrics (Accuracy, Precision, Recall, F1)
Hands-on: Predict house prices using Linear Regression0 - Module 3: Unsupervised Learning (5 Hours)● Clustering (K-Means, Hierarchical)
● Dimensionality Reduction (PCA, t-SNE)
● Association Rule Mining (Apriori)
Hands-on: Customer segmentation using K-Means0 - Module 4: Neural Networks & Deep Learning (5 Hours)● Basics of Neural Networks
● Activation Functions
● Forward and Backpropagation
● Introduction to CNNs and RNNs
Hands-on: Handwritten digit recognition using MNIST0 - Module 5: Model Deployment & Real-World Use (3 Hours)● Introduction to Model Deployment
● Streamlit for AI App Building
● Basics of MLOps (CI/CD for ML)
Hands-on: Deploy a simple ML model using Streamlit0 - Module 6: Generative AI (4 Hours)● What is Generative AI?
● Introduction to Transformers & LLMs
● Applications: ChatGPT, Image Generators
● Prompt Engineering Basics
Hands-on: Use OpenAI API to build a text generation app0 - Module 7: Ethics & Future of AI (2 Hours)● AI Ethics, Bias, and Fairness
● Explainability and Accountability
● AI Governance & Regulation
● The future of work and AI0
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