Placement AssistanceNCVET AccreditedIndustry Certification by CIIIn association with NASSCOM

PGP in Machine Learning & Artificial Intelligence

Become a job-ready Data Science professional with Machine Learning, AI, Deep Learning, NLP, and Generative AI expertise.

Rating
4.5/5
Duration
43 Weeks
Mode
Online
Mentor-Led
40 Mn+ Alumni Network
97% of Eligible Learners Placed
CTC Range ₹4- ₹9.2 LPA

Program Overview

Program Overview

The PGP in Machine Learning and Artificial Intelligence by NIIT is a future-ready program with placement assistance that equips learners with job-ready Machine Learning, AI and automation skills through hands-on projects, preparing them for real-world applications and career growth. This program is accredited by the National Council for Vocational Education and Training (NCVET), with industry certification awarded by the Confederation of Indian Industry (CII). Students can earn Academic Bank of Credits (ABC), gaining nationally recognized credentials that provide flexibility, and open pathways for seamless career progression across institutions and programs.

Mentorship
Learn From Experts
Hands-on
Build Real Projects
GenAI
Powered Creative Learning

Curriculum

Comprehensive curriculum to build in-demand tech skills and real-world expertise.

Data Analysis & Visualization with Excel

Learn Excel fundamentals, data cleaning, PivotTables, charts, dashboards, and statistical analysis techniques to analyze and visualize data effectively.

Data Storytelling & Insights

Apply data storytelling techniques by combining visuals, narratives, and analytical insights to create impactful business presentations and dashboards.

Activity

Concept Quiz and Assignments

Database Design & SQL Operations

Learn relational database concepts, ER modeling, normalization, SQL queries, joins, subqueries, and schema design to manage and retrieve data efficiently using MySQL.

Database Management & Automation

Implement transactions, stored procedures, triggers, JSON handling, and database security techniques to ensure consistency, automation, and optimized database operations.

Activity

Concept Quiz and Assignments

Python Programming & Problem Solving

Learn Python fundamentals, programming constructs, OOP, data structures, file handling, and modular programming for automation, problem-solving, and application development.

Data Analysis & GenAI Integration

Use NumPy and Pandas for data analysis and build AI-powered applications by integrating Python with LLM concepts and APIs.

Activity

Concept Quiz and Assignments

Data Analysis & Exploratory Data Analysis with Python

Use NumPy, Pandas, SQL integration, and statistical techniques to clean, transform, analyze, and explore structured data through univariate, bivariate, and multivariate analysis.

Data Visualization & GenAI-Assisted Insights

Create visualizations using Matplotlib, Seaborn, and Plotly, and leverage GenAI tools to accelerate EDA, uncover trends, and generate deeper analytical insights.

Activity

Concept Quiz and Assignments

Data Transformation & Modeling with Power BI

Extract, clean, and transform data using Power Query, ETL techniques, and optimized data modeling for scalable and efficient analytics.

Advanced Analytics & Interactive Reporting

Apply DAX, AI-powered analytics, and interactive dashboards to create insightful visualizations, secure reports, and data-driven business solutions.

Activity

Concept Quiz and Assignments

Inferential Statistics & Data Analysis

Apply probability, sampling, hypothesis testing, normal distribution, and statistical analysis techniques using Python to draw meaningful insights from data.

Machine Learning & Predictive Analytics

Build and evaluate regression, classification, and clustering models using algorithms such as Linear Regression, Logistic Regression, KNN, and K-Means with GenAI-assisted workflows.

Activity

Concept Quiz and Assignments

Data Analysis & Predictive Modeling

Perform data cleaning, EDA, visualization, inferential analysis, and apply ML algorithms for classification and regression using Python, SQL, and Power BI.

Solution Presentation & Stakeholder Evaluation

Present the project walkthrough, demonstrate the solution, and answer stakeholder questions effectively during presentation and viva.

Activity

Apply and integrate all acquired knowledge and skills to solve a real-world problem and present a complete walkthrough of the approach, implementation, and solution.

Advanced Machine Learning & Predictive Modeling

Apply classification, clustering, ensemble learning, and dimensionality reduction techniques using models such as Naive Bayes, SVM, Decision Trees, Random Forest, PCA, and LDA.

AutoML & GenAI-Driven Model Optimization

Leverage GenAI and AutoML tools for model selection, workflow automation, performance optimization, and interpretable machine learning solutions.

Activity

Concept Quiz and Assignments

Time Series Forecasting & Predictive Analytics

Build and evaluate time series forecasting models using AR, MA, ARIMA, SARIMA, and SARIMAX techniques with Generative AI-assisted prediction workflows.

NLP & Generative AI Applications

Perform text preprocessing, vectorization, classification, and NLP analysis using rule-based methods, fastText, and Generative AI for unstructured data insights.

Activity

Concept Quiz and Assignments

Deep Learning & Predictive Modeling

Build predictive deep learning models using PyTorch, Keras, and TensorFlow for sentiment analysis, recommendation systems, and AI-driven data interpretation.

Computer Vision & Advanced AI Applications

Apply CNNs, transfer learning, object detection, semantic segmentation, OpenCV, and GANs for image processing and computer vision solutions.

Activity

Concept Quiz and Assignments

Generative AI Chat Application Development

Design and build intelligent chat applications using Generative AI, LLMs, Streamlit, Python, and OpenAI SDK with prompt engineering and tool integration.

Conversational AI & Interactive Experiences

Implement response streaming, conversation memory, asynchronous workflows, database interaction, and showcase context-aware chat applications through mini projects.

Activity

Concept Quiz and Assignments

Project Implementation & AI Modeling

Apply data cleaning, ML/DL, predictive analysis, and time series, text, and image analysis techniques to solve real-world problems.

Solution Presentation & Stakeholder Evaluation

Present the project approach, results, visualizations, and business impact through presentation and viva.

Activity

Apply and integrate all acquired knowledge and skills to solve a real-world problem and present a complete walkthrough of the approach, implementation, and solution.

Tools & Technologies

Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.

Excel
SQL
SQL
Python
Python
NumPy
NumPy
Pandas
Pandas
Power BI
OpenAI
OpenAI
Scikit-learn
Scikit-learn
PyTorch
PyTorch

Projects You'll Build

Build production-ready projects to showcase real-world skills and strengthen your portfolio.

Capstone Project

Perform exploratory data analysis (EDA), apply statistical techniques, develop machine learning models, and present insights using structured methodologies and effective data visualization.

PythonNumPyPandasScikit-learnMicrosoft ExcelPower BIMySQL

Capstone Project

Design and implement end-to-end AI and ML solutions by integrating analytics, forecasting, deep learning, and generative AI to solve real-world problems and generate actionable insights.

PythonScikit-learnTensorFlowPyTorchOpenCVNLTKspaCyLLM APIs

Boost Your Career Visibility

Showcasing a professional Capstone Project on your LinkedIn increases recruiter interest significantly. Build production-ready work that speaks for itself.

Learning Outcomes

Develop industry-relevant skills to create real-world solutions and advance your career.

Analyze and visualize structured data using Excel and Power BI.

Design, manage, and query relational databases using SQL.

Develop Python programs for data analysis, automation, and AI integration.

Perform systematic exploratory data analysis using statistical techniques.

Apply inferential statistics and hypothesis testing for data-driven decisions.

Build and evaluate machine learning models for prediction and classification.

Implement advanced ML techniques including clustering and dimensionality reduction.

Develop time series forecasting and NLP-based text analytics solutions.

Build deep learning and computer vision models using industry frameworks.

Integrate Generative AI & LLM's to develop & deploy to context ever application

Deliver comprehensive capstone projects solving real-world business problems.

Industry Salary Growth

Accelerate your career with strong salary growth across India.

Download Career Report

Select Experience Level

Salary Growth

Annual Packages
₹4 LPAMin
₹7 LPAAvg
₹10 LPAMax
* These figures are indicative and sourced from industry reports and job market data. They do not represent a guaranteed outcome of completing this program. Data updated as of 2026.

Currently Hiring Companies for this role

* All company names, logos, and trademarks used on this website are the property of their respective owners. Use of these names, trademarks, and brands does not imply endorsement, sponsorship, or affiliation.

Industry-Recognized Certification

Certificate of Completion

This is to certify that

Student Name

Has successfully completed the PGP in Machine Learning & Artificial Intelligence

Signature

Date

Earn a trusted NIIT professional certificate and further strengthen your credentials with an additional paid industry certification. Refer FAQ.

Industry Certification by CII

Industry-recognized skills validated by Confederation of Indian Industry.

The Academic Bank of Credits (ABC)

Earn transferable academic credits for recognition, flexibility, and career growth.

Career Value with NCVET Accredited Program

Nationally recognized credentials enhancing employability and career growth.

Placement Assistance

Dedicated placement support with industry connections and recruiter interactions.

Up to 3 placement opportunities within 120 days of joining the Placement Bank
Career guidance with personalized counseling and mock interview preparation
Resume building & LinkedIn profile optimization
Client briefings with Git profile development and industry connect sessions
Alumni connect sessions for networking

Placement Assistance Policy

Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.

97%
Placement Rate
800+
Hiring Partners

Our Hiring Network

800+ Top Recruiting Companies
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Hays_plc_2009_logo.svg.png
hexaware-technologies-navi-mumbai-information-technology-business-process-outsourcing-business-21e30e640db875824f7f77fb870656f5.png
Tata_Consultancy_Services_old_logo.svg.png
Infosys_logo.svg.png
HCL_Technologies_logo.svg.png
HDFC_Bank_Logo.svg.png
sentienz.png
partner_sprites1.png
Finolex-Logo.jpg
Accenture_logo.svg.png
* All company names, logos, and trademarks used on this website are the property of their respective owners. Use of these names, trademarks, and brands does not imply endorsement, sponsorship, or affiliation.

Data-Driven Learning, Delivered with Quality

Experience a data-driven learning ecosystem with measurable progress.

Structured Learning Roadmap

Clear learning pathways delivered through our LMS with defined milestones and module progression.

Learner Connect Sessions

Regular live mentor interactions to resolve doubts, reinforce concepts, and maintain engagement.

AI Assisted Faculty Quality Monitoring

AI-assisted faculty performance analysis ensures consistent teaching quality and delivery excellence.

Program Performance Report

Track attendance, assignments, assessments, quizzes, and overall performance with structured progress tracking.

Meet Your Mentors

Learn from Industry Experts and Experienced Professionals.

Rohit Kumar

Rohit Kumar

Senior Mentor

NIIT Limited

Rohit Kumar is a Senior Mentor at NIIT with over 13 years of experience in Data Science, Machine Learning, Python, and Full Stack Development. He is known for making complex topics easy to understand and apply in real-world scenarios. His expertise spans across Full Stack Development, Data Analytics, Machine Learning, Big Data, Cloud Computing, Blockchain, and AI-driven applications and he holds multiple globally recognized certifications. He is also an Enterprise Design Thinking Practitioner and a published researcher in image encryption and security algorithms, reflecting his strong analytical and problem-solving skills. Through hands-on projects, real-world datasets, and continuous guidance, he helps learners build confidence and become job-ready technology professionals.

4.8(Excellent reviews)

Success Stories

Hear from our graduates about their transformative journey with NIIT.

Dhanush PS

Dhanush PS

5
"

"Hailing from the vibrant city of Bangalore. As an M. Tech graduate in Mechanical Engineering, I nurtured a deep-seated fascination for the transformative power of Data Science. This field, a symphony of analytical acumen and technological innovation, resonates profoundly with my personal and professional ethos.My academic and technical background has been a launchpad into the Data Science realm, where complex data is not merely numbers but a narrative waiting to be understood and harnessed. The allure of uncovering hidden patterns and contributing to data-driven decision-making has been a significant motivator in my pursuit of this discipline."

Doke Vyshnavi

Doke Vyshnavi

4.8
"

"I would like to thank NIIT for provide me a platform to upgrade myself. They taught us all the technologies from the basic to advance. The classroom is virtual but during the training I didn’t face any problem while learning. They provided hands-on experience which makes us different and more confident on the technology. By the end of program, I acquired all the knowledge in the data science field. Thanks to all the mentors and placement team for helping me to enhance my skills and get placed in the good reputedly company."

Harmandeep Singh​

Harmandeep Singh​

4.88
"

"I would like to thank NIIT for helping me upskill myself with the trending technologies and guiding me in the field of Data Science. All the sessions were conducted online in an orderly manner, and there was a student success manager who took care of our concerns. Since I was a part of a full-time course in Data Science, the daily sessions from Monday to Friday helped me get a very good knowledge of all the technologies that are trending in the Data Science field. My mentors helped me broaden my learning curve and made me experience certain real-life corporate instances."

Jagan Mohan

Jagan Mohan

4.8
"

"Coming from a different background, I was looking to pivot my career into a more future-ready domain. From the moment I connected with NIIT, I received consistent support across teams—mentors, marketing, and placement. Unlike most online courses that focus only on tools, this program helped me develop the mindset and methodology needed to solve real-world problems. The mentors used practical examples to make learning intuitive and sustainable, even beyond the course. If results matter, this program truly delivers—I set a goal when I joined, and NIIT helped me achieve it."

Sandeep Gande

Sandeep Gande

Manikandan S

Manikandan S

4.94
"

"This course was incredibly rewarding. Conducted online by excellent mentors, the pace was well-balanced—not too fast, not too slow. It was thoughtfully designed with enough challenges, and the faculty provided strong support to help us overcome them. Initially, I was skeptical, but the program turned out to be life-changing. The placement service was excellent, and the package I received exceeded expectations. Special thanks to Shradha Ma’am for her motivation and guidance in helping me secure a great offer."

Frequently Asked Questions

Find answers to your queries about the program, curriculum, and admissions.

Candidates with a minimum of 50% in Class X, XII, and graduation are eligible to apply. Undergraduates must maintain at least 50% marks until the final year and achieve a minimum 50% aggregate upon graduation. The program is open to BE/B.Tech, BCA, B.Sc. (Maths, Stats, CS, IT), MCA, and M.Sc IT graduates.

Admission to the program is direct. Eligible learners can apply by filling out the online application form, submitting the self-declaration and accepting the terms and conditions, and paying the program fee. Admission is confirmed once the payment is successfully completed. Students without a mathematics background are required to take an aptitude and English test during orientation.

The program follows NIIT’s Mastery Learning methodology, focusing on building one skill at a time through structured, hands-on sprints. Each sprint includes concept introduction through live mentor sessions, individual practice and assignments, mentor review and feedback, and refinement with re-submission of work. Learners typically spend around 4 hours per sprint, with most of the time dedicated to hands-on application and reflection

The Post Graduate Program in Machine Learning & Artificial Intelligence by NIIT prepares learners for entry-level roles in the AI and data domain. After completing the program, candidates typically move into roles such as Machine Learning Engineer, Junior Data Scientist, Data Analyst, Business Analyst, or AI/ML Associate, where they apply skills in Python programming, data analysis, machine learning model development, and data visualization to build real-world AI-driven solutions.

Taking a loan is entirely optional. Loans are facilitated by third-party lenders, and NIIT has no role in the process. Applicants must review the loan terms carefully, including EMIs, interest rates, processing fees, and repayment schedules. All EMI payments and related queries must be handled directly with the lender.

Documents may include PAN Card and Aadhaar Card, last 6 months’ bank statements, 3 months’ salary slips (for employed learners) or ITR proof (for self-employed), and co-applicant details if the learner is under 21 years of age. Incomplete documentation may result in loan rejection.

Learners need a laptop or desktop with Intel i3 or AMD Ryzen 3 (or higher), at least 8 GB RAM, and 50 GB free disk space, along with a functional webcam and microphone. The system should run Windows 10 or macOS (or higher) with the latest Chrome or Edge browser, MS Office or equivalent tools, and a PDF reader installed. A stable Wi-Fi or broadband connection with a minimum speed of 5 Mbps is required, and a backup internet connection is recommended.

Yes, learners receive a digital certificate after successfully completing the program and meeting all the required conditions (overall performance score, attendance, payment clearance etc).

However, to obtain additional certification through the Confederation of Indian Industry (CII), learners are required to make a separate payment via the National Council for Vocational Education and Training (NCVET) portal.

Learners can choose to obtain NCVET (National Council for Vocational Education and Training) accreditation and CII (Confederation of Indian Industry) certification as additional credentials. These are optional and require separate registration and payment directly on the respective NCVET portal.

For academic progression, eligible learners can also receive credits through the Academic Bank of Credits (ABC). After successful program completion, learners must have an active ABC ID; the applicable credits are then submitted by the institution and deposited into the learner’s ABC account, where they can be accessed and used as per guidelines.

During the program, academic mentors will guide you through the process, including registration steps and requirements for these certifications and credits.

Placement support is offered based on the learner’s profile and eligibility. Learners eligible for Placement Assistance may receive up to a defined number of selection opportunities within 120 days of joining the Placement Bank, subject to criteria such as minimum 70% overall score, graduation, age below 28 years, and stream eligibility as per the Program Eligibility table. Final year undergraduate learners will become eligible only after completing graduation, where applicable. Support also includes three personalized coaching connects, end-to-end assistance during placement drives, and 7 Placement Preparation Module sessions covering interview preparation, aptitude, digital profile building, corporate etiquette, personality development, industry talks, and alumni talks. Learners aged 28 years or above will be eligible for Career Support, which includes access to relevant lateral opportunities through the Alumni forum for up to 120 days, based on hiring demand and role fit. Final selection depends on the learner’s preparation, participation, and performance in the hiring process.

Hassle-Free Refund Policy

Your satisfaction is our priority. We offer transparent refund terms for your peace of mind.

100% Money-Back Guarantee

Full refund (excluding the booking fee) if you cancel before the batch starts

Quick Refund Review

Eligible refund requests are carefully reviewed within seven working days

Transparent Refund Timeline

Approved refunds are completed within 45 days for timely settlement

Important: Enjoy a transparent refund policy. Cancel 48 hours before the class start date to be eligible for a refund if you haven’t attended any class.

Duration43 Weeks
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₹2,13,750
₹2,25,000

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