PGP in Machine Learning & Artificial Intelligence
Become a job-ready Data Science professional with Machine Learning, AI, Deep Learning, NLP, and Generative AI expertise.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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Salary Growth
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Industry-Recognized Certification
Certificate of Completion
This is to certify that
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.
Placement Assistance Policy
Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.
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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.
Success Stories
Hear from our graduates about their transformative journey with NIIT.
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.
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