ML Foundation, AI Foundation & the Combined AI+ML Pathway

Build strong foundations in Machine Learning and Artificial Intelligence — choose one course, or take both for complete preparation before advanced AI Engineering.

This pathway gives you a structured, practical foundation in modern Machine Learning and Artificial Intelligence using Python, NumPy, Pandas, scikit-learn and PyTorch. Choose ML Foundation, AI Foundation, or take both together for a complete 20-week learning journey. ML Foundation builds competence in mathematics, data handling and classical machine learning; AI Foundation progresses into neural networks, deep learning, computer vision, NLP, transformers and LLM concepts.

Choose Your Path

ML Foundation

ML Foundation — 12 Weeks

A strong foundation in mathematics, Python-based data science and classical Machine Learning.

AI Foundation

AI Foundation — 8 Weeks

Progress from Machine Learning into neural networks, deep learning, NLP, Transformers and Modern AI.

What You'll Learn

ML Foundation

Math Refresher + Python

ML Foundation, Module 1

Data Manipulation & Visualisation

ML Foundation, Module 2

Supervised Learning — Regression & Classification

ML Foundation, Modules 3–4

Unsupervised & Advanced Machine Learning + ML Capstone

ML Foundation, Modules 5–7

AI Foundation

Neural Network Foundations & Backpropagation

AI Foundation, Modules 1–2

Deep Learning with PyTorch & Computer Vision

AI Foundation, Modules 3–4

Sequence Models, NLP, Attention & Transformers

AI Foundation, Modules 5–6

LLMs, Modern AI & AI Capstone Project

AI Foundation, Modules 7–8

Market Demand: Machine Learning Is Now Core Infrastructure

Year-on-year growth in Indian AI job listings, according to industry hiring data

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Of Indian tech firms are now hiring on demonstrated skills rather than degree alone

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Of Generative AI roles in India require Python — the core language taught throughout this pathway

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Year-on-year surge in demand for advanced digital skills including AI, GenAI and data analytics (Taggd India Decoding Jobs Report 2026)

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Machine Learning and AI are increasingly built into software products, analytics, automation, recommendation systems, computer vision and language applications. That creates demand for professionals who understand not just AI tools, but how models are actually built, trained, evaluated and applied — which is exactly what this pathway develops.

How This Program Builds Your Employability

This pathway is designed as a foundation — not a promise of a job. Its purpose is to give you the technical base to progress into more advanced AI Engineering and to build job-relevant project experience along the way. Students completing both courses build a broader base for roles across Machine Learning, AI Engineering, AI/ML Development, Deep Learning and NLP, subject to further practical experience and role requirements.

Roles This Pathway Can Support

ML Foundation

Machine Learning Engineer

Data Scientist

Data Analyst

Python Developer

ML Model Developer

Deep Learning Engineer

Computer Vision Roles

NLP - Focused Roles

AI Foundation

Data Scientist

Data Analyst

Python Developer

Deep Learning Engineer

Computer Vision Roles

NLP - Focused Roles

AI Application Developer

Why Choose This Program

Learn with the same tools the
industry uses: Python, NumPy, Pandas, scikit-learn and PyTorch.

Mini-projects and a capstone project at every stage — apply what you learn, don’t just study it.

A logical progression: Mathematics → Python → Data → Machine Learning → Neural Networks → Deep Learning → NLP → Transformers → LLMs.

Flexible entry points — start with ML, start with AI, or commit to the full combined pathway.

Direct preparation for more advanced AI Engineering training.

Key Highlights

Math Refresher + Python

Data Manipulation & Visualisation

Supervised Learning — Regression & Classification

Unsupervised & Advanced Machine Learning + ML Capstone

Neural Network Foundations & Backpropagation

Choose your path. Build the foundation. Progress toward AI Engineering.

Welkin Global Academy designs career-focused training in artificial intelligence, machine learning, programming, technical sales and professional English communication — built around real job roles, real employer expectations and real project work, not just theory.

Company

Address

Plot no 18, Krishna Nagar Colony, Wellington Road, Picket, Secunderabad, Telangana 500009, India.

Talk to us

kunal@welkinglobal.co
+91 92814 11369

sonali@welkinglobal.co
+91 91216 00947