Video course · 15 chapters · 1271 min · certificate
Generative AI for Developers – Comprehensive Course
A comprehensive GenAI course for developers: the GenAI pipeline, data representation, text classification, LLMs and transformers, Hugging Face, OpenAI with function calling and a Telegram bot, prompt engineering, vector DBs (Chroma, Pinecone, Weaviate), LangChain projects, open-source LLMs, RAG vs fine-tuning, LlamaIndex, medical and code-analysis chatbots, CI/CD on AWS, LLMOps and Vertex AI.
What you'll learn
- Understand the GenAI pipeline and transformers
- Use Hugging Face and OpenAI APIs
- Work with Chroma, Pinecone and Weaviate
- Build LangChain and LlamaIndex projects
- Compare RAG and fine-tuning
- Deploy with CI/CD, LLMOps and Vertex AI
Chapters
15 chapters · 1271:21-
85:12
01Intro Members
Introduction and the GenAI pipeline
End to end.
-
63:45
02Vectors Members
Data representation and vectorisation
Text to numbers.
-
87:05
03Transformers Members
Text classification, LLMs and transformers
Architecture.
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91:11
04HF Members
Hands-on Hugging Face
Transformers library.
-
111:09
05OpenAI Members
OpenAI API and Telegram bot
Function calling.
-
96:23
06Vector DBs Members
Prompt engineering and vector DBs
ChromaDB.
-
97:15
07Cloud vectors Members
Pinecone, Weaviate and LangChain
More DBs.
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57:26
08Project Members
Interview questions creator
LangChain app.
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103:15
09Open source Members
Website chatbot and Llama
Llama.
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76:14
10RAG Members
Falcon, RAG and fine-tuning
RAG vs fine-tuning.
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54:56
11LlamaIndex Members
LlamaIndex, Mistral and stock analysis
Alternative framework.
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70:47
12Project Members
Medical chatbot
LLM + Pinecone.
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65:33
13Projects Members
Source code analysis and Zomato bot
More apps.
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93:25
14LLMOps Members
CI/CD on AWS and LLMOps
Production.
-
117:45
15Vertex Members
Vertex AI and Gemini Pro
Google Cloud.
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.