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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

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Master Advanced Data Engineering with AI

Job-Oriented Machine Learning Course Syllabus

Module 1 Foundations of AI Engineering & Development Environment

Module 2 Advanced SQL & Database Systems for AI

Module 3 Python Programming for AI Engineering

Module 4 Machine Learning Foundations

Module 5 Deep Learning & Neural Networks

Module 6 Generative AI & Large Language Models

Module 7 Retrieval-Augmented Generation (RAG) Systems

Module 8 Agentic AI & Multi-Agent Systems

Module 9 Fine-Tuning, MCP & Advanced AI Engineering

Module 10 Enterprise AI Deployment, Security & Capstone Projects

2 WEEKS BEGINNER FRIENDLY

Module 1 - Foundations of AI Engineering & Development Environment

Establish a solid foundation in AI engineering by learning the AI project lifecycle, SQL and Python basics, development environments, Git, virtual environments, AI-assisted coding tools, and responsible AI practices.

Introduction to AI Engineering & Project Lifecycle

Modern AI Ecosystem & Enterprise AI Architecture

Data Engineering Foundations using SQL & Python

Development Environment Setup (VS Code, Jupyter, PyCharm)

Git & GitHub for Version Control

Virtual Environments & Package Management

AI-Assisted Development Tools (GitHub Copilot, Cursor AI)

Structured vs Unstructured Data Processing

AI Governance, Ethics & Responsible AI

TOOLS & TECHNOLOGIES:

SQLVS CodePyCharmPythonCursor AI

PROJECTS:

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Tools & Technologies You'll Master

EXPERT FACULTY

Learn from the Best

David K Marcus. trtey

AI Research Scientist @ OpenAI

9+ Yrs Exp

AI Research

LLM Fine-tuning

David is an AI Research Scientist at OpenAI working on next-generation language models. His research has contributed to GPT-4 and has been cited in over 200 academic publications.David is an AI Research Scientist at OpenAI working on next-generation language models. His research has contributed to GPT-4 and has been cited in over 200 academic publications.David is an AI Research Scientist at OpenAI working on next-generation language models.

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