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Flagship programme

PG Diploma in AI, Machine Learning & Data Analytics

Become a job-ready AI & Data professional in 4 months with live projects and 6 industry certifications.

Duration
4 months
Level
Intermediate
Mode
Classroom + Live online
Category
AI & Data
Tools & tech
PythonTensorFlowKerasPandasNumPyPower BIScikit-learnFlaskSQLMatplotlib

What you'll be able to do

  • Build and deploy real machine-learning models
  • Analyse data and build dashboards in Power BI
  • Complete an AI capstone project for your portfolio
  • Earn 6 recognised certifications

Why this programme

  • In association with NIAI & IntelliAI DeepLearn AI Academy
  • 30% theory · 50% practical · 20% capstone project
  • Ideal for B.Tech, BSc/BCom (Computers), MCA & tech branches

Who should join

For graduates, final-year engineering or MCA students, and working professionals with some maths comfort who want to build, train, and deploy real machine learning models rather than only make dashboards.

Based in Tirupati? See classroom batches, timings & local details for the AI & Machine Learning Course in Tirupati →

Curriculum

What you'll learn, module by module

A structured path from fundamentals to a portfolio-ready project and a job — with mentors beside you at every step.

Python & Data Foundations

  • Python programming for data: data types, functions, comprehensions
  • NumPy arrays and vectorised operations
  • Pandas for data loading, cleaning and transformation
  • Working with CSV, Excel and SQL data sources

Data Analysis & Visualisation

  • Exploratory data analysis (EDA) workflow
  • Descriptive statistics, distributions and correlation
  • Matplotlib for charts and plots
  • SQL queries: joins, aggregations, subqueries

Machine Learning with Scikit-learn

  • Supervised learning: linear and logistic regression
  • Decision trees, random forests and ensemble methods
  • Classification, regression and clustering (K-Means)
  • Train/test split, cross-validation and evaluation metrics
  • Feature scaling, encoding and pipelines

Deep Learning with TensorFlow & Keras

  • Neural network basics: layers, activation, loss and optimisers
  • Building and training models in Keras
  • Image and text classification examples
  • Overfitting, dropout and regularisation

Business Intelligence with Power BI

  • Connecting and modelling data in Power BI
  • DAX measures and calculated columns
  • Interactive dashboards and report design
  • Publishing and sharing reports

Model Deployment & AI Capstone

  • Serving a model as an API with Flask
  • Saving and loading trained models
  • Building an end-to-end AI capstone project
  • Documenting and presenting your project
Careers

Roles you can target after this course

PG Diploma in AI, Machine Learning & Data Analytics opens doors across the industry. With our placement support and your new portfolio, here are the roles our graduates step into.

Machine Learning Engineer (entry-level / associate)AI/ML DeveloperData Analyst with ML focusData Scientist (junior)Business Intelligence AnalystPython Developer for Data/ML

Why learn at Digitalshala

  • Live classes with Google & Alexa-certified trainers
  • 50% practical, real projects and an internship
  • Placement support with 200+ hiring tie-ups
  • Learn in Tirupati or live online — flexible batches
Reviews & ratings

Rated 4.9 by our students

57 verified reviews on our Google Business Profile. Here's what learners say about Digitalshala.

4.9
57 reviews on Google
Course FAQ

Common questions

Fees depend on the batch and mode (classroom or live online) — message us on WhatsApp for the current fee and any running offer.

It runs for 4 months. Because it covers ML and deep learning, plan to spend regular time on practice and assignments outside class — the more you build, the better your capstone and interview readiness.

This is an Intermediate-level course, so basic comfort with maths and logic helps. We revise the statistics and maths you need as we go — you do not need to be a maths topper, but you should be willing to work through it.

This diploma goes further into machine learning, deep learning with TensorFlow/Keras, and model deployment with Flask, and ends in a deployed AI capstone. The Data Science course focuses on the analytics pipeline without the deep learning and deployment depth.

Yes. You can join in-person in Tirupati or attend the same batch live online from anywhere, so students from Chittoor, Rayalaseema and beyond can take part.