From Fundamentals to Real‑World GenAI and ML Systems

I work hands-on, lead Data Science and GenAI teams, sit in hiring panels daily, build projects for top companies and teach with the clarity that comes from real-world deployment experience.

Instructor alumni of Imperial College London Imperial College London & IIM Bangalore Indian Institute of Management Bangalore

Delivered Production AI Solutions For:

  • Deloitte logo
  • Rolls-Royce logo  Rolls-Royce
  • Unilever logo  Unilever
  • Johnson & Johnson logo
  • Dr. Reddy's Laboratories logo
  • Walmart logo
  • PepsiCo logo
  • Tesco logo
  • Deloitte logo
  • Rolls-Royce logo  Rolls-Royce
  • Unilever logo  Unilever
  • Johnson & Johnson logo
  • Dr. Reddy's Laboratories logo
  • Walmart logo
  • PepsiCo logo
  • Tesco logo

Exclusive Student Platform: Your Personal AI Learning Assistant

Get access to www.aharsha.com, a dedicated platform built exclusively for course students with AI-powered tools to accelerate your learning.

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RAG Chatbot with Validated Content

Ask questions and get precise answers sourced only from approved learning documents. This keeps your learning clean, focused, and reliable.

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Quizzes that Build Mastery

Attempt quizzes assigned to your batch, track results, and understand where you need more practice. Each quiz is aligned to your current topic.

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Practice from Question Bank

Work through an approved question bank topic-wise. This is perfect for daily practice and interview preparation.

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Resume Tailor & Interview Prep

Generate a resume tailored to a job profile and practise role-specific questions to improve your confidence in interviews.

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Batch Videos & Guided Learning

Access curated video links for your batch to reinforce key concepts and revise quickly.

Curriculum Roadmap

Phase 1: Foundations & Stats (Weeks 1-3)

Python Essentials • Hypothesis Testing (Z-tests, ANOVA) • Exploratory Data Analysis with Real Datasets

Phase 2: Advanced ML & Deep Learning (Weeks 4-7)

Regression & Classification • XGBoost/Ensembles • Model Tuning & Validation • Multi Models

Phase 3: GenAI & Production (Weeks 8-11)

LLMs (BERT/GPT) • Prompt Engineering • RAG with LangChain • Agentic Frameworks • Deployment (Docker, Streamlit, Cloud)

Phase 4: Optional Section (Weeks 11-16)

Other topics • Clustering • Optimisation • Time Series • GitHub Copilot

The Production Advantage: What Sets This Course Apart?

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Industry first

This isn’t just about modelling: it’s about the entire journey: framing the problem, planning the approach, executing the solution, and delivering it in the real world.

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Real Outcomes

Every student builds a personalized ML case study and a live GenAI Chatbot you can showcase in your portfolio.

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Career Prep

Resume optimization and interview prep based on real hiring experience at Fortune 500 companies: get hired, not just educated.

Sri Harsha Achyuthuni

Data Science Manager at Deloitte

Harsha is a data science professional with a track record of delivering high-impact AI and ML solutions across Fortune 500 companies.

Education: MSc in Business Analytics from Imperial College London • Executive Education from IIM Bangalore

Expertise: Predictive maintenance, demand forecasting, optimization engines, classification, NLP, supply chain analytics, and generative AI applications.

Industry: Consulting, manufacturing, consumer goods, supply chain, pharmaceuticals, healthcare, insurance, retail, defence, and aerospace sectors.

8+
Years Experience
500+
Data Science Articles
50+
Live Projects

GitHub Activity

Professional Network

Ready to Start Your Journey?

Explore more about my work and get in touch.

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