Udemy - Prompt Engineering and Generative AI for AI Engineers

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Udemy - Prompt Engineering and Generative AI for AI Engineers (Size: 2.1 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction to Prompt Engineering
  1. 1 What is Prompt and Prompt Engineering.mp4 98.7 MB
  2 - Python Fundamentals for AI Engineers
  3 - Python Functions & Modules
  4 - OOP Concepts
  10. 2 Attributes & Methods.mp4 316.2 MB
  11. 3 Inheritance & Polymorphism.mp4 508.4 MB
  12. 4 Encapsulation & Abstraction.mp4 105.6 MB
  9. 1 Classes & Objects.mp4 428.6 MB
  7. 1 Defining Functions.mp4 176.7 MB
  8. 2 Function Arguments & Return Values.mp4 162.9 MB
  3. 1 Python Installation & Environment Setup.mp4 40.9 MB
  4. 2 Variables & Data Types.mp4 90.7 MB
  5. 3 Prompts Engineering Talk to AI the Right Way.mp4 75.4 MB
  6. 4 Operators (Arithmetic Logical Comparison).mp4 80.4 MB
  2. 2 Two Ways to Use Prompt Engineering.mp4 59.8 MB

Description


Prompt Engineering & Generative AI for AI Engineers

https://WebToolTip.com

Published 1/2026
Created by Abeera sajid
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 12 Lectures ( 2h 7m ) | Size: 2.1 GB

Build LLM, RAG & AI Automation Systems with Python, Transformers, Vector Databases & Real Projects

What you'll learn
Design and apply effective prompt engineering techniques (structured, few-shot, multi-step) for real AI engineering tasks
Build end-to-end LLM applications using Python, HuggingFace Transformers, and modern Generative AI tools
Create Retrieval-Augmented Generation (RAG) systems using vector databases such as FAISS, Chroma, or Pinecone
Develop and deploy production-ready AI systems by combining prompt engineering, ML/DL models, and MLOps practices

Requirements
Basic Python programming knowledge (variables, loops, functions)
Basic understanding of programming concepts and logical thinking
A computer with internet access (Windows, macOS, or Linux)
Motivation to learn modern AI and Generative AI tools — no prior ML or LLM experience required

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