LLM & Generative AI – Course Outline
Course Duration: 20–30 Hours (Flexible for Customization)
Course Description
This course offers a comprehensive, hands-on introduction to Large Language Models (LLMs) and Generative AI, exploring how advanced AI systems like ChatGPT, DALL·E, and Gemini are built, fine-tuned, and deployed.
Learners will gain practical experience in prompt engineering, model fine-tuning, multimodal AI, and real-world application deployment using modern tools such as LangChain, Hugging Face, and Streamlit.
The program emphasizes not only technical mastery but also ethical awareness, bias mitigation, and AI safety, preparing participants to responsibly create and apply Generative AI solutions across industries.
Ideal for developers, data scientists, AI enthusiasts, and professionals looking to upskill in next-generation AI technologies.
- 7 Sections
- 0 Lessons
- 30 Hours
- Module 1: Foundations of Generative AI (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: Introduction to Large Language Models (4 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: Prompt Engineering (3 Hours)● Clustering (K-Means, Hierarchical)
● Dimensionality Reduction (PCA, t-SNE)
● Association Rule Mining (Apriori)
Hands-on: Customer segmentation using K-Means0 - Module 4: Fine-tuning and Customization (4 Hours)● Basics of Neural Networks
● Activation Functions
● Forward and Backpropagation
● Introduction to CNNs and RNNs
Hands-on: Handwritten digit recognition using MNIST0 - Module 5: Multimodal & Advanced Generative Models (4 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: Applications and Deployment (3 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, Bias & Future of Generative AI (2 Hours)● AI Ethics, Bias, and Fairness
● Explainability and Accountability
● AI Governance & Regulation
● The future of work and AI0
You might be interested in
-
All levels
-
149 Students
-
0 Lessons