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AI & Data

Artificial Intelligence

A project-based online program covering the core ideas behind modern AI systems, from classical machine learning to applied generative AI, taught through hands-on exercises rather than theory alone.

16 weeks Beginner Live Online + Recorded

16 weeks

Duration

Live Online + Recorded

Learning Mode

DigitalAI Certificate

Certification

No prior experience needed

Eligibility

What You'll Learn

  • Explain core machine learning concepts and when to apply them
  • Build and evaluate predictive models in Python
  • Design and train basic neural networks from scratch
  • Work with generative AI tools and LLM APIs in real projects
  • Write effective prompts for applied AI workflows
  • Structure an end-to-end AI project from data to deployment

Who Should Join

  • Students and graduates exploring a career in AI
  • Working professionals looking to add AI skills to their current role
  • Career switchers moving into tech from a non-technical background
  • Basic computer literacy — no prior coding experience required

Tools & Technologies You'll Master

Hands-on training with real, industry-standard tools — not just theory.

Python
NumPy & Pandas
scikit-learn
TensorFlow
PyTorch basics
Prompt Engineering
OpenAI/LLM APIs
Jupyter Notebooks
Git & Version Control

Why Learn Artificial Intelligence?

AI is moving from a specialist skill to a baseline expectation across software, data, marketing and operations roles. Learning practical AI — not just the theory — means you can build, evaluate and ship models rather than only talk about them, which is what separates job-ready candidates from casual learners.

Career Opportunities

  • AI/ML Engineer
  • Machine Learning Associate
  • AI Product Analyst
  • Applied AI Developer
  • Generative AI Engineer

Industry Demand

Demand for applied AI skills has grown steadily across Indian tech, product and services companies as more teams adopt AI tooling in their workflows — this program focuses on the practical, applied skills employers are actually screening for, rather than academic theory alone.

Curriculum

Python, statistics and linear algebra for AI

  • Python basics
  • Statistics for AI
  • Linear algebra essentials

Practical Projects

Predictive model on real-world data
Generative AI application prototype
End-to-end ML pipeline from data to deployment

Your Career Roadmap

1

Enroll and complete the Python + statistics foundations module

2

Build core machine learning skills through guided exercises

3

Work hands-on with neural networks and generative AI tools

4

Complete a capstone project you can show in interviews

5

Get resume, portfolio and interview preparation support

Certification

Earn a certificate of completion from DigitalAI Learning Institute on finishing all modules and required projects.

Career Support

Resume review, portfolio guidance and interview preparation included as part of this program.

Your Instructor

Instructor Name

Lead AI Faculty8+ years

Placeholder bio — replace with a real instructor profile before publishing.

Fees

Contact for fee details

EMI options available • See full fee comparison

Frequently Asked Questions

AI refers to systems that can learn patterns from data and make predictions or decisions — from recommendation engines to generative tools like ChatGPT.

Ready to start Artificial Intelligence?

Talk to a learning counsellor to check your fit, fees and start date.