PGP in Machine Learning & Artificial Intelligence [Upgrade]
Upgrade to a Skilled Job-Ready Data Science Professional with ML & AI.
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. Learners attend only uncovered modules in the upgraded program.
Practical skills in Excel-based data analysis and visualization
Clean data, build PivotTables, apply statistical techniques, create visual dashboards, and craft compelling data stories to generate actionable business insights.
Build interactive Excel dashboards with business-focused storytelling insights.
Practical skills to design and manage relational databases using SQL
Design ER diagrams, normalize schemas, write complex SQL queries, create stored procedures and triggers, and ensure transactional consistency in structured databases.
Design and implement an optimized relational database using SQL queries.
Practical skills in Python programming for automation and analysis
Develop Python programs using OOP, manipulate datasets with NumPy and Pandas, automate workflows, and integrate APIs for AI-driven applications.
Build Python-based automation and data processing solutions.
Practical skills in systematic exploratory data analysis using Python
Perform univariate, bivariate, and multivariate analysis, apply statistical methods, connect databases, and visualize insights using Python libraries effectively.
Conduct complete EDA on real-world structured datasets.
Practical skills in business intelligence and dashboard development
Extract and transform data, build optimized data models, apply DAX calculations, and create interactive dashboards for data-driven decision-making.
Develop interactive Power BI dashboards with defined business KPIs.
Practical skills in statistics and foundational machine learning
Apply inferential statistics, perform hypothesis testing, and implement regression and classification models for predictive analytics and pattern recognition.
Build predictive machine learning models using structured datasets.
Practical skills in advanced machine learning techniques
Implement clustering, advanced classification models, and dimensionality reduction to improve accuracy, efficiency, and interpretability of predictive systems.
Develop advanced ML solutions using clustering and dimensionality reduction.
Practical skills in forecasting and natural language processing
Build time series forecasting models, preprocess text data, perform NLP analysis, and apply hypothesis testing for structured and unstructured datasets.
Create forecasting and text analytics solutions using real datasets.
Practical skills in deep learning and computer vision applications
Build neural networks using TensorFlow or PyTorch, implement deep learning models, and apply computer vision techniques for image-based AI solutions.
Develop deep learning models for image classification tasks.
Practical skills in integrating large language models
Apply advanced prompting techniques, integrate LLM APIs into Python applications, and automate workflows using generative AI tools
Build AI-powered applications using LLM integration and prompt engineering.
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 and LLMs into end-to-end ML/AI solutions.
Deliver comprehensive capstone projects solving real-world business problems.
Industry Salary Growth
Accelerate your career with strong salary growth across India.
Select Designation
Salary Growth
Annual PackagesCurrently Hiring Companies for this role
400+ Companies
Industry-Recognized Certification
Certificate of Completion
This is to certify that
Has successfully completed the PGP in Machine Learning & Artificial Intelligence [Upgrade]
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Earn a trusted NIIT professional certificate.
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.
Our Hiring Network
800+ Top Recruiting Companies
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.
Frequently Asked Questions
Find answers to your queries about the program, curriculum, and admissions.
This course is exclusively designed for learners who are enrolled in or have completed the Professional Program in Data Analytics with GenAI from NIIT and wish to further upskill themselves.
Currently enrolled or completed Professional Program in Data Analytics with GenAI from NIIT. 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 Clearence etc).
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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