⏰ Learn Today to Lead Tomorrow!

Live Online Classes • Mentor-Led Training • 20+ Real-World AI Projects

Master the Complete AI Engineering Stack with AWS and Start Implementing Real AI / ML Projects

If you’re a fresher, DevOps engineer, or software developer looking to skill up fast — this session is for you. Discover how AI, ML & Cloud can accelerate your career, with a live session and Q&A.

👉 Get Started - ₹4999 Only

Limited slots available. Secure your spot now!

Schedule

Mark your calendar for this exclusive, event!

Date

Every Saturday & Sunday

Time

08:00PM - 10:30PM IST

Where

Microsoft Teams

Language

English

Learn from an Industry Expert with 22+ Years of Experience

This AI & ML Career Accelerator is led by an industry expert with over 22 years of experience in enterprise software development, cloud technologies, DevOps, Artificial Intelligence, and corporate training. Having worked with leading global technology companies including Oracle, Sonata Software, Nucleus Software, ValueLabs, Zensar Technologies, IAP India Pvt. Ltd., and National Informatics Centre (NIC). The program combines real-world enterprise experience with hands-on learning, helping you master Python, SQL, Git, Linux, Machine Learning, Generative AI, Agentic AI, and modern AI engineering practices used in the industry.

Vinod Kumar - AI Trainer

Mr. Vinod Kumar

AI • Machine Learning • Generative AI • Cloud Architect

Enterprise Technology Leader | Corporate Trainer | Mentor

View LinkedIn Profile

22+

Years Experience

10K+

Learners Trained

200+

Training Sessions

20+

AI Projects

Worked With

Oracle, Sonata Software, Nucleus Software, ValueLabs, Zensar Technologies, IAP India Pvt. Ltd., and National Informatics Centre (NIC).

Why Learn from This Program?

22+ years of enterprise software development experience.
Real-world expertise in AI, Cloud, DevOps, Software Engineering and Enterprise Architecture.
Trained 10,000+ professionals, engineers and students.
Live mentor-led classes—not pre-recorded videos.
Learn through 20+ real-world AI applications, hands-on labs and a capstone project.
Resume guidance, interview preparation and portfolio building.

🚀 Technology Ecosystem You'll Master

Learn the complete AI Engineering stack through live instructor-led sessions, hands-on labs, industry projects, and real-world AI use cases.

🐍

Python

Programming fundamentals, OOP, scripting and AI development.

🐧

Linux & Unix

Command line, shell scripting and development environment.

🌿

Git & GitHub

Version control, collaboration and source code management.

🗄️

SQL

Query databases and prepare data for AI applications.

☁️

AWS Cloud

Deploy AI applications using cloud infrastructure and services.

📊

Machine Learning

Data preprocessing, model training, evaluation and prediction.

✨

Generative AI

Prompt engineering, LLMs, RAG and AI-powered applications.

🤖

Agentic AI

AI agents, multi-agent workflows and intelligent automation.

🚀 12-Week AI & ML Career Accelerator Curriculum

A structured, project-based learning path designed to transform beginners and working professionals into AI Engineers through live instructor-led training, hands-on labs, and 20+ real-world AI applications.

🐍

Weeks 1–2

Python Programming

Learn Python fundamentals, OOP, functions, file handling, modules and coding best practices for AI development.

🐧

Week 3

Linux & Unix

Master Linux commands, shell scripting, file systems, permissions and developer productivity tools.

🗄️

Week 4

SQL & Databases

Learn SQL queries, joins, normalization and data analysis techniques used in AI projects.

🌿

Week 5

Git & GitHub

Version control, branching, pull requests and collaborative software development.

🤖

Week 6

AI Fundamentals

Artificial Intelligence concepts, data preparation, algorithms and AI engineering foundations.

📈

Weeks 7–8

Machine Learning

Supervised & unsupervised learning, Scikit-Learn, feature engineering and model evaluation.

✨

Weeks 9–10

Generative AI & LLMs

Prompt Engineering, OpenAI APIs, LangChain, Retrieval-Augmented Generation (RAG) and LLM applications.

🚀

Weeks 11–12

Agentic AI + Capstone

Build AI agents, automate workflows, complete a real-world capstone project and prepare for interviews.

💼 You'll Build 20+ Real-World AI Applications

Gain hands-on experience by building industry-inspired projects throughout the program.

🤖 AI Chatbot
📄 Resume Analyzer
📚 PDF Knowledge Bot
💬 Customer Support AI
🧠 Multi-Agent AI Workflow
📧 Email Automation Agent
🔍 RAG Application
🗃️ SQL AI Assistant
💻 GitHub Code Reviewer
MCP
n8n
🚀 Final AI Capstone Project

Why Become an AI Engineer?
Build Skills That Shape the Future of Technology

Artificial Intelligence is transforming every industry—from healthcare and banking to retail, manufacturing, education, and software development. Organizations are adopting AI to automate workflows, improve decision-making, and create intelligent products. Learning AI today prepares you to contribute to this evolving landscape with practical, project-based skills.

🚀

Learn Skills Used Across Modern AI Projects

Build a strong foundation in Python, SQL, Git, Linux, Machine Learning, Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic AI through live instruction and practical labs.

  • ✔ Live Instructor-Led Training
  • ✔ Hands-on Cloud Labs
  • ✔ 20+ AI Applications
  • ✔ Capstone Project
  • ✔ Resume & Interview Preparation
💼

Prepare for AI-Focused Career Opportunities

This program is designed to help you build practical skills that are relevant to AI-driven software development. Through projects, mentorship, and guided learning, you'll develop a portfolio that demonstrates your capabilities.

🤖 AI Engineer
📊 ML Engineer
✨ GenAI Developer
🧠 Prompt Engineer
🔍 AI Application Developer
☁ AI Solutions Developer

👨‍💻 Who Should Join This Program & How You'll Learn

Whether you're starting your AI journey or upgrading your technical skills, this program combines live instruction, hands-on labs, and real-world AI projects to help you learn by building.

🎯 Who Should Join?

✔ Students looking to build a career in Artificial Intelligence.
✔ Fresh Graduates preparing for AI & ML roles.
✔ Software Developers who want to transition into AI Engineering.
✔ QA, DevOps, Cloud and IT Professionals expanding their AI skills.
✔ Working Professionals interested in Generative AI and Machine Learning.
✔ Anyone passionate about building AI-powered applications.

💻 Learn Through Hands-on Labs

Every concept is taught through practical coding sessions, guided exercises, and real-world AI projects.

☁️

Google Colab Labs

Practice Python, Machine Learning, Generative AI, Prompt Engineering, LLMs and RAG directly in Google Colab without installing software.

🖥️

Local Development Environment

Learn using VS Code, Python, Git, Jupyter Notebook, SQL and Linux on your own computer just like professional developers.

☁️

AWS Cloud Labs

Deploy AI applications, APIs and projects on AWS cloud and understand cloud-based AI development workflows.

🚀

Capstone Project

Complete an end-to-end AI project combining Python, Machine Learning, Generative AI and Agentic AI using real-world datasets and deployment techniques.

💻

Live Coding

Code every concept with your mentor.

🧪

Hands-on Labs

Practice in Google Colab, AWS and Local PC.

🤖

20+ AI Projects

Build production-style AI applications.

🎓

Certificate

Receive a certificate after successful completion.

Student Success Stories & Learner Experiences

Mr.Arokiarj Christian ST Hubert Excelent

Mr.Arokiarj Christian ST Hubert

Assistant Professor Sri Manakula Vinayagar Engineering College

The Train the Trainer course on AI, Cloud (AWS, Azure, GCP), and Data Engineering was insightful and well-delivered. The trainer demonstrated strong expertise and made the sessions engaging and practical.

Mr. Sumit Jadhav Excelent

Mr. Sumit Jadhav

Senior Consultant

Overall, it was a great and insightful session

Dr. Saravanan R Excelent

Dr. Saravanan R

Professor/IT, SMVEC, Puducherry.

I attended the Train the Trainer course covering AI, Cloud platforms (AWS, Azure, GCP), and Data Engineering. The content was comprehensive and well-structured. The trainer explained complex concepts clearly and encouraged interactive discussions. This training has significantly boosted my confidence to deliver sessions on these topics.

⭐ Training Quality & Learning Experience

Our AI & ML Career Accelerator focuses on practical learning, instructor guidance, hands-on labs, and real-world project experience.

Eduarn AI ML training quality feedback

What Makes Our Training Different?

✔

Industry Experienced Trainer

Learn from a trainer with 22+ years of enterprise technology experience across AI, Cloud, Software Engineering and Architecture.

✔

Live Interactive Learning

Ask questions, discuss concepts and learn through real-time coding sessions instead of passive videos.

✔

Hands-on AI Labs

Practice using Google Colab, local development environments and AWS cloud labs while building AI applications.

✔

Project-Based Approach

Build 20+ AI use cases including chatbots, RAG applications, AI assistants and automation agents.

🎓

Live Training

🚀

Real Projects

🤖

AI Applications

☁️

Cloud Labs

🎁 Free Bonus with this Course

Register for our this session to get instant access to the powerful EduArn LMS.

Eduarn LMS Learning Management System

Smarter Learning, Scalable Training

As a student, you'll get free access to the EduArn LMS, our exclusive Training & Learning Management System. This platform is designed to complement your learning experience, providing you with all the tools you need to succeed.

  • Personalized dashboards to track your progress.
  • Centralized access to all course materials and labs.
  • Interactive features to connect with instructors and peers.
  • Earn a Certificate After Finishing the Demo

🎓 Earn Your AI & ML Career Accelerator Certificate

Complete the 12-week AI & ML Career Accelerator program and receive a certificate showcasing your learning journey, hands-on projects, and practical AI engineering skills.

Eduarn AI ML Career Accelerator Program Completion Certificate

Showcase Your AI Engineering Skills

This certificate represents your successful completion of a structured AI engineering learning path covering Python programming, Machine Learning, Generative AI, Large Language Models, Agentic AI, and real-world AI projects.

✓

Complete 12-Week AI Engineering Program

Receive your completion certificate after finishing lessons, labs, assignments and projects.

✓

Demonstrate Practical AI Skills

Showcase hands-on experience with Python, Machine Learning, Generative AI, LLMs, and AI application development.

✓

Add Achievement to Your Professional Profile

Share your learning milestone on LinkedIn, resume and professional portfolio.

✓

Build Portfolio-Ready AI Projects

Highlight your completed AI use cases including chatbots, RAG systems, AI assistants and automation agents.

Frequently Asked Questions - AI & ML Career Accelerator

Find answers about our 12-week AI Engineer program, curriculum, projects, labs, certificate and learning experience.

Yes. We value learner satisfaction. If you are not satisfied after attending any session, eligible course fees will be refunded on a prorated basis based on the sessions attended, subject to our refund policy terms.

This is a structured 12-week AI Engineer Career Accelerator Program designed to help learners build strong foundations and practical skills in Artificial Intelligence. The program covers Python, SQL, Git, Linux, Machine Learning, Generative AI, LLM applications, Agentic AI and real-world projects.

You will learn:

  • Python Programming for AI Development
  • Linux / Unix Fundamentals
  • SQL and Database Concepts
  • Git and GitHub for Developers
  • Artificial Intelligence Fundamentals
  • Machine Learning Algorithms
  • Generative AI and Prompt Engineering
  • Large Language Models (LLMs)
  • Agentic AI and AI Automation

Yes. The program follows a project-based learning approach. You will build multiple AI applications including:

  • AI Chatbot
  • Resume Analyzer
  • Document Q&A System
  • RAG Application
  • Customer Support Assistant
  • AI Automation Agents
  • Multi-Agent AI Workflow

Training includes hands-on practice using:

  • Google Colab for Python, ML and AI experiments
  • Local development environment using VS Code and Git
  • AWS Cloud labs for deploying AI applications

Yes. Learners who successfully complete the program, assignments and projects will receive an Eduarn AI & ML Career Accelerator Completion Certificate. You can showcase your learning achievement on your resume, LinkedIn profile and professional portfolio.

This program is suitable for:

  • Students and fresh graduates interested in AI careers
  • Software developers moving into AI Engineering
  • IT professionals upgrading their skills
  • Cloud, DevOps and Data professionals exploring AI
  • Working professionals interested in Generative AI

Basic programming knowledge is helpful, but the program starts with Python fundamentals and gradually progresses toward advanced AI concepts.

🎥 Explore Our AI Engineer Program Preview

Watch the program overview and download the detailed curriculum guide to understand how you will become an AI Engineer in 12 weeks.

▶️ AI & ML Career Accelerator Overview

📘

Download AI Engineer Program Guide

Get access to our detailed 80-page program guide covering curriculum, AI technologies, projects, learning roadmap and career path.

  • ✅ 12 Week AI Engineering Roadmap
  • ✅ Python, ML, Generative AI & Agentic AI Topics
  • ✅ 20+ Real-world AI Project Ideas
  • ✅ Tools & Technologies Covered
📥 Download Program PDF

🚀 Start Your AI Engineer Journey Today

Join the 12-Week AI & ML Career Accelerator Program

Learn Python, Machine Learning, Generative AI, Agentic AI and build 20+ real-world AI applications with expert guidance.

✅ Satisfaction Guarantee

If you are not satisfied after attending any session, eligible fees will be refunded on a prorated basis based on sessions attended, as per our refund policy.

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