Build Your First Product with LLMs, Prompting, RAG

Name: Build Your First Product with LLMs, Prompting, RAG
Price: 9 USD
Availability: InStock

2h 25m 20s

English

Paid

June 16, 2025

This practical intensive course will provide you with all the necessary skills to create a fully functional advanced product based on large language models (LLM) - from choosing an idea to deploying it in production.

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#	Title	Duration
1	From Beginner to Advanced LLM Developer \| The Towards AI Academy	05:21
2	Why Learn How to Use and Customize LLMs	09:20
3	Part 1: Section Overview: Building Our RAG AI Tutor; Introduction to Using LLMs	02:21
4	To use a LLM or to not use it?	09:16
5	What is Prompting? Talking with AI Models...	04:55
6	What is Prompt Injection? Can you Hack a Prompt?	05:51
7	Part 1: Section Overview: Building Our RAG AI Tutor; Using Basic RAG for Our Project	01:29
8	What is RAG?	09:41
9	Part 1: Section Overview: Building Our RAG AI Tutor; Developing a RAG AI Tutor With LLamaIndex	01:15
10	How vector DBs work and when to use one	11:09
11	RAG Evaluations	10:43
12	Part 1: Section Overview: Building Our RAG AI Tutor; Using Other LLMs and Embedding Models	01:23
13	Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data!	01:34
14	Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data!	01:35
15	Advanced Search Techniques: From Keywords to Graphs	10:31
16	What is Indexing? Indexing Methods for Vector Retrieval	08:36
17	Part 1: Section Overview: Building Our RAG AI Tutor; Fine-Tuning	01:05
18	Optimizing the model - inference and fine-tuning	12:46
19	Is fine-tuning an embedding model worth? When should you do it? Why? What is it?	08:46
20	Part 1: Section Overview: Building Our RAG AI Tutor; Expanded RAG Toolkit	01:39
21	Long Context LLMs vs. RAG	06:47
22	Part 1: Section Overview: Building and Deploying the Final RAG Chatbot	01:20
23	Part 2: Section Overview: More LLM Capabilities & Other Useful AI Models	01:15
24	Part 2 Section Overview More LLM Frameworks and Tools	01:45
25	Part 2: Section Overview: LLM Optimizations for Deployment	01:28
26	Best tips for Pruning and Distillation (Minitron Paper)	13:29