| File Name: | Prompt Engineering & Generative AI for AI Engineers |
| Content Source: | https://www.udemy.com/course/prompt-engineering-generative-ai-for-ai-engineers/ |
| Genre / Category: | Ai Courses |
| File Size : | 2.1 GB |
| Publisher: | Abeera sajid |
| Updated and Published: | January 2, 2026 |
Generative AI and Large Language Models (LLMs) are transforming how modern AI systems are built — and prompt engineering is now a core engineering skill, not just a trick. This course is designed for AI engineers, ML practitioners, and developers who want to build real-world AI systems using prompt engineering, Python, machine learning, deep learning, LLMs, RAG, and modern GenAI tools. Instead of treating prompt engineering as an isolated concept, you’ll learn how to integrate prompts into end-to-end AI workflows — from Python automation and data processing to LLM-powered applications, vector databases, and production-ready systems.
What You’ll Learn
In this course, you will:
- Understand prompt engineering fundamentals and mindset
- Use prompts to generate, debug, and document Python code
- Build ML and deep learning pipelines with prompt-assisted workflows
- Work with Transformers, LLMs, and HuggingFace models
- Design structured, few-shot, multi-step, and self-reflection prompts
- Build Retrieval-Augmented Generation (RAG) systems using vector databases
- Use FAISS, Chroma, and Pinecone for similarity search
- Apply prompt engineering to data cleaning, feature engineering, and evaluation
- Fine-tune models using LoRA and parameter-efficient techniques
- Build and deploy production-ready AI applications
- Apply MLOps practices with Git, Docker, and demo apps (Streamlit/Gradio)
- Create a professional AI portfolio with real projects
Hands-On Projects You’ll Build
This course is project-driven, not theory-heavy. You’ll build:
- Prompt-assisted Python automation scripts
- Data analysis & visualization workflows using prompts
- Machine learning & deep learning models
- NLP systems like sentiment analyzers
- Computer vision classifiers using CNNs and transfer learning
- LLM applications using HuggingFace Transformers
- A RAG-based AI assistant using vector databases
- Prompt libraries for reusable AI workflows
- End-to-end GenAI systems ready for deployment
DOWNLOAD LINK: Prompt Engineering & Generative AI for AI Engineers
Prompt_Engineering_Generative_AI_for_AI_Engineers.part1.rar – 1000.0 MB
Prompt_Engineering_Generative_AI_for_AI_Engineers.part2.rar – 1000.0 MB
Prompt_Engineering_Generative_AI_for_AI_Engineers.part3.rar – 144.2 MB
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