Video course · 15 chapters · 1818 min · certificate
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
A 30-hour live-recorded generative AI course: GenAI overview and LLM history, the OpenAI API and function calling, LangChain prompts, agents, chains and memory, Hugging Face and local models, an MCQ generator project, Streamlit deployment, and an extended Pinecone vector database series building a medical chatbot and multimodal apps.
What you'll learn
- Explain GenAI and LLM history
- Use the OpenAI API and function calling
- Build with LangChain prompts, agents, chains and memory
- Use Hugging Face and local models
- Build and deploy an MCQ generator
- Implement Pinecone-backed RAG apps
Chapters
15 chapters · 1818:02-
76:59
01Overview Members
GenAI overview and LLM history
Foundations.
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140:34
02OpenAI Members
OpenAI API and function calling
Practical setup.
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122:21
03LangChain Members
LangChain and prompt templates
Intro.
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98:28
04Chains Members
Agents, chains and memory
Compose apps.
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109:46
05HF Members
Hugging Face and local models
Open models.
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158:31
06Project Members
MCQ generator project
End to end.
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183:28
07Deploy Members
Streamlit, deployment and vector DBs
Ship it.
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95:47
08Pinecone Members
Pinecone basics
Embeddings.
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173:37
09Query Members
Pinecone implementation: init and query
Search.
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119:44
10Models Members
Model loading and serialisation
Load locally.
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113:44
11Frameworks Members
Deep learning frameworks
TF and PyTorch.
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119:44
12Chatbot Members
Medical chatbot
Project structure.
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125:43
13Multimodal Members
Multimodal Streamlit apps
Image upload.
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119:44
14SQL Members
Databases and connections
Persistence.
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59:52
15Recap Members
Generative pre-training recap
Transformers.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.