Handouts – Refernce Materials and Notebooks
Reference Study Materials Notebook Links
Reference Study Materials Notebook Links
LLM-Powered Applications with Hugging Face Hands-on: Building Text Generation Applications with Hugging Face Building Generative AI Applications using Hugging Face (Video) Coding Practice – Building Generative AI Applications using Hugging Face
Generative AI Agents – AutoGPT and AgentGPT Hands-on: Building your own Generative AI Agent Generative AI Agents Intuition (Video) Generative AI Agents Implementation (Video) Coding Practice – Building Generative AI Agents using LangChain
Advanced Generative Models Hands-on: Building a Generative model using Stable Diffusion Advanced Generative Models Intuition (Video) Advanced Generative Models Implementation (Video) Coding Practice – Advanced Generative Models
Image Synthesis Model Hands-on: Building an Image Synthesis model using DALL.E Image Synthesis Models Intuition (Video) Image Synthesis Models Implementation (Video) Coding Practice – Image Synthesis Models
Advanced Large Language Models Hands-on: Building an LLM-based Chatbot using the GPT Family of LLMs Video Tutorial – Advanced LLMs Intuition (Video) Video Tutorial – Advanced LLMs in Python (Video) Coding Practice – Advanced LLMs
Language Modelling with Transformers Hands-on: Building a Language Modeling model using Transformer Language Modelling with Transformers Intuition (Video) Language Modelling with Transformers in Python (Video) Coding Practice: Language Modelling with Transformers
Introduction and Overviews VideoIntroduction to Generative AI (Video)
There are MCQ-based short tests given after each section to assess the understanding of a learner in each section. Finally, the capstone project is evaluated manually by the instructors.
All attendees who complete all sections of the course along with the capstone project will get the certificate.