AI Engineer Zero to Hero Crash Course

[dkmdkm]

Free Download AI Engineer Zero to Hero Crash Course
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 29m | Size: 1.8 GB
Learn Agentic AI and RAG Application development

What you'll learn
AI Basic Concepts
Setup Local Dev Environment for AI Project
Identify Chunking Strategy
Build Knowledge base for your Data (Vector store)
Create RAG application with your Data
Build Fast API for RAG Application
Build Web application for HR Chatbot
Deploy the Application in Azure
Requirements
no programming experience is mandatory. Passion and Enthusiasm to learn Generative AI is required. Python skill is nice to have for quick development.
Description
Ready to break into Generative AI? This crash course takes you from zero to building production-ready AI applications in just a few hours!In this hands-on course, you'll master two of the hottest skills in AI today: Retrieval Augmented Generation (RAG) and Agentic AI development. Whether you're a developer looking to add AI skills to your toolkit or someone wanting to build intelligent applications, this course provides a fast track to becoming an AI Engineer.What You'll Build:Complete RAG pipeline from scratch using PythonIntelligent AI Agents using LangChainProduction APIs with FastAPIInteractive UIs with StreamlitWhat You'll Learnata ingestion and document processing techniquesText chunking strategies for optimal retrievalVector embeddings and semantic searchChromaDB vector database implementationLocal LLM integration with OllamaPrompt engineering for RAG systemsAzure cloud deployment strategiesBuilding autonomous AI agents that make decisionsWhy This Course?Unlike theory-heavy courses, every lesson includes working code you can run immediately. You'll understand not just how to build AI applications, but why each component works the way it does.By the end, you'll have a portfolio of AI projects and the confidence to build intelligent applications for any use case. Join thousands of developers who are future-proofing their careers with practical AI engineering skills!No prior AI experience required - just bring your Python basics and we'll handle the rest!
Who this course is for
Beginners who are curious to learn Generative and AgentIc AI
Python developers
Data engineers and Data scientist
Software engineers switching from Full stack/ Deveops /QA to AI
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[0dayddl]

AI Engineer Zero to Hero Crash Course
Published 12/2025
Duration: 2h 30m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 1.80 GB
Genre: eLearning | Language: English​

Learn Agentic AI and RAG Application development

What you'll learn
- AI Basic Concepts
- Setup Local Dev Environment for AI Project
- Identify Chunking Strategy
- Build Knowledge base for your Data (Vector store)
- Create RAG application with your Data
- Build Fast API for RAG Application
- Build Web application for HR Chatbot
- Deploy the Application in Azure

Requirements
- no programming experience is mandatory. Passion and Enthusiasm to learn Generative AI is required. Python skill is nice to have for quick development.

Description
Ready to break into Generative AI? This crash course takes you from zero to building production-ready AI applications in just a few hours!

In this hands-on course, you'll master two of the hottest skills in AI today:Retrieval Augmented Generation (RAG)andAgentic AI development. Whether you're a developer looking to add AI skills to your toolkit or someone wanting to build intelligent applications, this course provides a fast track to becoming an AI Engineer.

What You'll Build:

Complete RAG pipeline from scratch using Python

Intelligent AI Agents using LangChain

Production APIs with FastAPI

Interactive UIs with Streamlit

What You'll Learn:

Data ingestion and document processing techniques

Text chunking strategies for optimal retrieval

Vector embeddings and semantic search

ChromaDB vector database implementation

Local LLM integration with Ollama

Prompt engineering for RAG systems

Azure cloud deployment strategies

Building autonomous AI agents that make decisions

Why This Course?Unlike theory-heavy courses, every lesson includes working code you can run immediately. You'll understand not justhowto build AI applications, butwhyeach component works the way it does.

By the end, you'll have a portfolio of AI projects and the confidence to build intelligent applications for any use case. Join thousands of developers who are future-proofing their careers with practical AI engineering skills!

No prior AI experience required- just bring your Python basics and we'll handle the rest!

Who this course is for:
- Beginners who are curious to learn Generative and AgentIc AI
- Python developers
- Data engineers and Data scientist
- Software engineers switching from Full stack/ Deveops /QA to AI

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