IntelliBI
Home
Programs
AI Programs
Advanced Artificial Intelligence Course For Working Professionals Machine Learning Course For Working Professionals Generative AI Course For Working Professionals Agentic AI Course For Working Professionals
Data Engineering
Data Engineer with Gen AI For Freshers, Engineers & Data Professionals Azure Data Engineer Course For Working Professionals AWS Data Engineer For Cloud Engineers & Data Professionals Databricks Data Engineer For Data Engineers & Spark Developers
Data Analytics
Data Analytics For Freshers, Analysts & Business Professionals
Explore All Courses →
Resources
BlogsFAQReviewsSuccess StoriesCourse ExpertsTrusted Learners
About Us Contact Us
+91 74987 56891 Log In →
Trending

Master Advanced Data Engineering with AI

Build scalable data pipelines, master cloud architecture, and integrate GenAI. A rigorous 24-week program designed for tech professionals looking to break into top-tier Data Engineering roles.

Basic AI Agents & Automation Systems
Learn LLMs, RAG, Prompt Engineering
Work on Real AI Projects
Placement Support Included
2200+ Career Transformations
300+ Hiring Partners
4.8★ Google Rating
90% Placement Assistance
Download Curriculum
Master Advanced Data Engineering with AI

Artificial Intelligence Course Syllabus

Module 1 Foundations of Data Engineering & AI Lifecycle
Module 2 Advanced SQL & Database Systems for AI
Module 3 Python Engineering for AI Pipelines
Module 4 Machine Learning Foundations
Module 5 Deep Learning & Neural Networks
Module 6 Generative AI & Transformer Architecture
Module 7 RAG Systems & Vector Data Architecture
Module 8 Agentic AI & Multi-Agent Systems
Module 9 Model Fine-Tuning & Quantization
Module 10 Production MLOps, Security & Capstone
2 WEEKS BEGINNER FRIENDLY

Module 1 - Foundations of Data Engineering & AI Lifecycle

Build a strong foundation in AI engineering by learning the complete AI project lifecycle, SQL fundamentals, Python programming, modern AI architecture, Git, GitHub, and AI-assisted development tools.

Introduction to AI Engineering & Project Lifecycle
Data Engineering Foundations: SQL & Python
Modern AI Ecosystem & Architecture
Environment Setup: IDEs, Notebooks & Git/GitHub
Virtual Environments & Package Management
AI-Assisted Development Tools (Copilot, Cursor)
Structured vs. Unstructured Data Processing
AI Governance & Ethics Fundamentals
TOOLS & TECHNOLOGIES:
PythonSQLGitGitHubVS CodeJupyter NotebookCursorGitHub Copilot
PROJECTS:
Download Syllabus

Tools & Technologies You'll Master

OpenAI / ChatGPT
LangChain
Hugging Face
Pinecone / FAISS
Python
FastAPI
AWS
Docker

EXPERT FACULTY

Learn from the Best

Dr. Aris T.

Principal Data Architect @ Meta

15+ Yrs Exp

Distributed Systems

GenAI Pipelines

Dr. Aris leads the Data Infrastructure team at Meta. He specializes in building petabyte-scale real-time processing engines and has pioneered several open-source data orchestration frameworks.

Excellent Tutor

5.0

Demo Lectures

Feedback

What Our Students Say

Career Transition to Data Engineering

Rahul Sharma

Data Engineer at Tech Solutions

4+ Years Experience

From Analyst to Data Engineer

Anjali Sahu

Data Engineer at Google

3+ Years Experience

Landing My First Data Science Role

Harsh Gupta

Data Scientist at Microsoft

2+ Years Experience

Breaking Into ML Engineering

Priya Verma

ML Engineer at Amazon

5+ Years Experience

Frequently Asked Questions

No FAQs have been added for this course yet.