IgniteAI: India's Most Practical AI
Career Launchpad

Build, deploy, and get hired. Learn from PhD mentors, solve real-world AI challenges, and master GenAI, MLOps, and full-cycle cloud deployments.

  • Build AI That Ships - Not Just Slides
  • Mentored by PhDs. Trained Like Industry.
  • Deploy Projects. Ace Interviews. Get Hired
Duration78 Hours
Final OutcomeJob-Ready AI/ML

IgniteAI Program

Join engineers and innovators building job-ready careers by mastering production-grade AI, ML, and GenAI guided by top PhD mentors.

Real-World Application

Learn how AI is deployed in the industry from fraud detection to GenAI agents. Go beyond theory. Build what companies actually use.

Live AI Projects

Work on capstone projects that simulate real enterprise challenges. Deploy end-to-end ML pipelines, LLMs, and cloud-native applications.

Job-Ready Skills

Perfect for fresh grads, engineers, and early professionals looking to transition into high-impact AI roles with full-stack confidence.

Master Industry Tech Stack

Hands-on training with Python, Hugging Face, LangChain, LangGraph, Azure ML, AWS SageMaker, Docker, and more.

Program Overview

IgniteAI is designed for real-world deployment. Built with technologies trusted by Amazon, Deloitte, EY, Salesforce, and TCS, you'll master:

Code with Confidence

  • Leverage GitHub Copilot to accelerate clean, functional code
  • Follow CI/CD pipelines and agile SDLC practices
  • Implement version control and testing standards used in industry

Python for AI

  • Write scalable AI code with NumPy, Pandas, and scikit-learn
  • Build with PyTorch, Hugging Face, LangChain, and LangGraph
  • Apply object-oriented programming for reusable ML components

Data Wrangling & Visualization

  • Query structured data using SQL for real-world datasets
  • Perform preprocessing and feature engineering with precision
  • Visualize insights with Power BI, Matplotlib, and Seaborn

Cloud AI/ML Services

  • Design and deploy models on AWS SageMaker, Azure ML, and GCP
  • Automate model pipelines with cloud-native tools
  • Scale model training with GPU/TPU compute environments

Model Serving & MLOps

  • Deploy models using Flask, FastAPI, and Streamlit
  • Containerize with Docker for flexible cross-platform delivery
  • Monitor performance using logging, alerts, and dashboards

Generative AI & Agentic Systems

  • Fine-tune LLMs for custom summarization, Q&A, and NER
  • Build RAG pipelines with LangGraph and vector databases
  • Launch AI agents with contextual memory and autonomous flows

Duration

  • 78 Hours
  • Balanced across theory, practice, and mentorship
  • Weekly live sessions and lab hours
  • ...and more

Delivery

  • Live Online / Hybrid with PhD Mentorship
  • 1:1 guidance from senior AI mentors
  • Flexible access to support and labs
  • ...and more

Format

  • Instructor-Led | Labs | Capstone
  • Live code walkthroughs and expert Q&A
  • Build projects hands-on during labs
  • ...and more

Outcome

  • Full-Stack AI & ML Engineer
  • Portfolio-ready capstone + GitHub showcase
  • Tools mastered: Python, Docker, CI/CD, Hugging Face
  • ...and more

Mentors

Meet the Brains Behind the Future of AI

Muni Yugandhar Yaddala

CEONexusIQ Solutions

Data Engineering, DevOps, Cloud Architecture, BigData

"20+ years of industry experience"

Muni Yugandhar Yaddala

Dr. Kishore

Mentor & Adjunct Professor - Deep Learning

AI Research

Ph.D. from The Goethe University Frankfurt, Germany

"Expert in AI research and applications"

Dr. Kishore

Dr. Sweta Panigrah

AI Consultant

Image Processing, Deep Learning

PhD in Computer Vision – National Institute of Technology, Warangal

"Expert in AI and Machine Learning to solve real-world problem"

Dr. Sweta Panigrah

FAQ's

Everything you need to know before joining, from prerequisites to project experience, system requirements, and how this program gives you a competitive edge in AI

Testimonials

Hear from our graduates who transformed their careers through our programs.

The course was very informative and well-structured. It helped me gain a clear understanding of the subject with practical examples. The concepts were explained in an easy-to-understand manner. Overall, it was a valuable learning experience.

Batthula Kavya

CSE, Malla Reddy University

Build AI. Deploy It. Get Hired.

Your AI career doesn't start with a course — it starts with this decision.