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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

ug-header-img

Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Programme in Machine Learning & AI (Executive)

The best selling program with a 4.5 star rating. Learn in-demand skills such as Deep Learning, NLP, MLOps, AI strategy building, work on 15+ industry projects & multiple programming tools.

In association with
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With Industry Experts From:

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Online

Format

Advanced AI Lecture Series

Learn about ChatGPT and the latest trends in AI

85+ Countries

Learner base

13 Months

Recommended 15 hrs/week

April 30, 2024

Start Date

Programme Overview

Key Highlights

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Designed for Working Professionals

mentorship

600+ Hours of Learning

assignments

15+ Case Studies and Assignments

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6 Practical Hands-on Capstone Projects

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Live Coding Classes & Profile Building Workshops

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Executive Post Graduate Program from IIIT Bangalore & Alumni Status

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Career Bootcamp

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3 Electives to customise your learning path

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Creation of portfolio website on Github to boost the learners’ career persona

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Scaling & Productionising ML

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Hackathon

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Daily Doubt Resolution Sessions

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Exclusive Job opportunities Portal

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High Performance Coaching(1:1)

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AI Powered Profile Builder

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Just-in-Time Interviews

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Personalised Industry Session

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Student Support is available 7 days a week, 24*7 for non-academic queries. You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform.

Eligibility:

Bachelor’s Degree with 50% or equivalent passing marks. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience.

Top Subjects You Will Learn
Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Transformers, Cloud and MLOps view more
Who Is This Program For?
Engineers, Software and IT Professionals, Data Professionals view more
Job Opportunity
Data Engineer, Data Scientist, Machine Learning Engineer, MLOps Engineer view more
Minimum Eligibility
Bachelor’s Degree with 50% or equivalent passing marks. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience view more

Syllabus

Experience 600+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects.

  DOWNLOAD SYLLABUS

20 Programming Languages, Tools & Libraries Covered

Post Graduate Programme in Machine Learning & AI (Executive)
Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore. IIIT Bangalore is one of the Top 70 Engineering Universities as per NIRF Rankings.
Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore. IIIT Bangalore is one of the Top 70 Engineering Universities as per NIRF Rankings.
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  • Gain IIITB Alumni status & connect with a global network of accomplished IIITB alumni
  • Build a strong network for life with opportunities to connect to Machine Learning Industry experts & your experienced fellow learners

Instructors

Learn from India's leading ML & AI faculty and industry leaders

Syllabus

Experience 600+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects

  DOWNLOAD SYLLABUS
  • 600+

    Hours of Learning

  • 15+

    Case Studies and Assignments

  • 35+

    Live Sessions

  • 6

    Practical Hands-on Capstone Projects

  • EDA + Welcome
  • Intro to Git & Github
  • Lending club case study
  • Inferential Stats
  • Hypothesis Testing

  • Linear Regression
  • Linear Regression Assignment: Bike sharing company (demand regression)
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Revision week - Skill test

  • Advanced Regression
  • Advance regression assignment + SVM (Optional)
  • Tree Models
  • Random Forests + Practical Considerations
  • Boosting - 1
  • Unsupervised Clustering
  • PCA
  • Telecom Churn Case Study
  • Buffer - Skill test

  • Introduction to Neural Networks - Part1
  • Introduction to Neural Networks - Part2
  • Convolutional Neural Networks
  • Assignment: Convolutional Neural Networks
  • CNN : Practical Considerations
  • Recurrent Neural Networks
  • Gesture Recognition - Project
  • Exam on Sunday End of the week
  • Revision week - Skill test (DL)

  • Lexical Processing
  • Syntactical Processing
  • Syntactic Processing - Assignment
  • Semantic Processing
  • Ticket classification Project
  • Buffer - Skill test (NLP)

  • Pre-Requisite Module
  • Introduction to MLops
  • Designing Machine Learning Systems
  • Experimenting with Data and Model using MLflow
  • Automating and Orchestrating piepelines with Airflow
  • Building continuous learning infrastructure
  • MLOps Project
  • Advanced NLP - Introduction to Attention Mechanism
  • Advanced NLP - Introduction to Transformers
  • Advanced CV - Object Detection & Semantic Segmentation
  • MLOps + Deployment: DL (Theory)
  • MLOps + Deployment: DL (Case Study)
  • Exam on Sunday End of the week
  • Revision week - Skill test

  • Advanced NLP - Introduction to Attention Mechanism
  • Advanced NLP - Introduction to Transformers
  • Fundamentals of Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
  • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
  • Integrating speech using Whisper API and application deployment using Flask
  • Fundamentals of Multimodal LLMS like Stable Diffusion, Mid Journey
  • Fundamentals of Design, Photography & Product Development using Stable Diffusion in Python & Applications of LLMs for Data Science problems like clustering, classification
  • GenAI Project
  • Applications of LLMs to create Embeddings for Large Documents
  • Applications of Vector stores like Pinecone to store and index embeddings of large documents
  • Understand the importance of LangChain and it's applications
  • Initialise the agents, tools and vectorstore for storage and retrieval
  • Connect the components using Chain and explore the power of tools in LangChain
  • Scale and Deploy Generative AI Apps using Azure OpenAI services
  • Future Developments in Generative AI

  • Capstone

AI Mastery Syllabus

Dive into the latest trends like ChatGPT, Dall E, and Explainable AI (XAI) through this series by renowned experts in the field.

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The GPT-3 Revolution

  • Introduction to ChatGPT: The world of AI is constantly evolving, and staying up to date with the latest advancements can be challenging. This session will introduce you to the power and potential of GPT-3.
  • Objective: To comprehensively understand GPT-3, its capabilities like Natural Language Understanding(NLU) & Context Recognition, and how it can be used in their work or business.

Be 10x productive with Prompt Engineering

  • Prompt engineering is a powerful technique that can help content creators, freelancers, and businesses generate high-quality text quickly and efficiently. This session will introduce you to the concept of prompt engineering and its applications.
  • Objective: The objective of this session is to provide learners with a comprehensive understanding of prompt engineering and how it can be used with different AI tools like ChatGPT3, Midjourney & Stable Diffusion.
  • By the end of the session, learners will be able to use prompt engineering techniques to generate high-quality text for a variety of applications.

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From Black Box to Glass Box: An introduction to Explainable AI

  • With the increasing adoption of AI, there is a growing need to ensure that AI models can be understood and trusted. This session will introduce you to the concept of Explainable AI and Model Interpretability.
  • Objective: To gain a comprehensive understanding of the importance of XAI (Explainable Aritificial Intelligence) and model interpretability, and learn how to build and interpret an interpretable machine learning model using LIME & SHAP techniques

Is AI racist and biased?

  • As AI is increasingly used in various domains, it is important to consider the ethical implications and potential biases that can arise. This session will introduce learners to the concepts of ethics and bias in AI and provide real-world examples.
  • Objective: To understand the ethical and bias considerations in AI and how to identify and mitigate potential issues. Learn through case studies in healthcare, finance, autonomous vehicles, recruitment among others.

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From Data to Dialogue: Diving into ChatGPT's Architecture and Functionality

  • This session will provide an overview of GPT models and their architecture, along with advanced techniques like RLHF and InstructGPT.
  • Objective: The objective of this session is to introduce learners to one of the variant of the Transformer - the GPT model, specifically the Davinci variant. They will gain knowledge about the architecture of GPT models and advanced techniques such as Reinforcement Learning from Human Feedback (RLHF), one-shot & few shot learning. They will also learn how to fine-tune GPT models with prompts and evaluate their performance through hands-on exercises.

ChatGPT-Based Ticket Classifier: A Game-Changer for Support Teams

  • Using transfer learning with GPT-3 eliminates the need to train NLP models from scratch, and provides access to state-of-the-art language models on various NLP tasks. This session will help you perform 'Ticket Classification Using ChatGPT'
  • Objective: To build a product that can automatically classify support tickets into different categories based on their topics using the fine-tuned ChatGPT model. This will help companies and organizations to improve their support ticket handling efficiency and reduce the workload of their support teams.

Build an Image generator using Stable Diffusion

  • Using transfer learning with GPT-3 eliminates the need to train NLP models from scratch, and provides access to state-of-the-art language models on various NLP tasks. This session will help you 'Build an image generator using stable diffusion'
  • Objective: The objective of this session is to teach learners how to build an image generator using Stable Diffusion and the Hugging Face library. They will learn how to prepare data, build and train a Stable Diffusion model, evaluate its performance, and build a Streamlit dashboard to showcase the model's output.

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The world of Graph Networks

  • This session aims to simplify the process and provide learners with a comprehensive understanding of Graph Neural Networks (GNNs) and how to build a simple GNN model.
  • Objective: The objective of this session is to introduce learners to the components of a GNN, its working mechanism, and how to build a simple GNN model for a given problem statement. By the end of the session, learners will be able to apply their knowledge to solve problems related to graph data.

Advanced Graph Networks

  • With the limitations of simple GNNs, there is a need to explore advanced GNN architectures. This session aims to provide an in-depth understanding of advanced graph networks.
  • Objective: By the end of this session, learners should be able to comprehend the drawbacks of simple GNNs. Additionally, learners should be able to compare and evaluate the performance of advanced GNNs like Graph Convolutional Networks(GATs) & Graph Attention Networks(GANs) to simple GNNs.

State of Art (STOA) architectures in Computer vision

  • In this session, we will introduce learners to the concept of landmark and feature detection, and enable them to build a simple landmark detection system.
  • Objective: By the end of the session, learners will be able to understand the fundamentals of landmark detection, popular feature detection algorithms such as SIFT and SURF, and build a landmark detection system using feature detection algorithms.

State of Art(STOA) architectures in generative modelling

  • Keeping up with the latest advancements in generative modeling can be challenging. This session aims to provide an overview of the state-of-the-art (STOA) architectures in generative modeling and their applications.
  • Objective: By the end of the session, learners should have an understanding of the STOA architectures in generative modeling and be able to read research papers on topics such as image-to-text models (Vision Transformers), text-to-image models(CoCA, CLIP), and multimodality(Pathways).

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries
 

Benefits with upGrad

360 Degree Career Support services, Personalized Mentorship from Industry Experts, Hands-on Projects, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.

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Student Support

  • Student Support available all day for your convenience (24*7)
  • For urgent queries, use the Call Back option on the platform

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Networking & Learning Experience

  • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
  • Peer to peer networking opportunities with a alumni pool of 10000+
  • Lab walkthroughs of industry-driven projects
  • Weekly real-time doubt clearing sessions

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High Performance Coaching (1:1)

  • Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey

AI Powered Profile Builder

  • Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis

Interview Preparation

  • Get access to Industry Experts and discuss any queries before your interview
  • Career bootcamps to refresh your technical concepts and improve your soft skills

Career Impact

Career-Counselling

Personalised Industry Session

Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching

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Career-Counselling

High Performance Coaching (1:1)

Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.

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Career-Counselling

Interview Preparation

Support in polishing your hard skills and soft skills for interview preparation

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Our Learners Work At

Top companies from all around the world have recruited upGrad alumni

Student Reviews

Admission Process

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Program Fees: USD 3,999

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Refer someone you know and receive cash reimbursements of up to $500!*
*More details under the referral policy under Support Section

What You Benefit from This Program

  • Post Graduate Programme in Machine Learning & AI (Executive) without Quitting Your Job
  • Cutting-Edge Curriculum Designed by Industry Experts
  • Alumni Status from IIIT Bangalore
  • A truly International program with Learners from 85+ Countries

Empowering learners of tomorrow

Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

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Frequently Asked Questions

This program is for you if you are a:

 

Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala.

 

Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience. 

 

Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.

 

Software Developer: If you have prior experience in creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.

The programme will benefit you in different ways depending on your prior experiences:

 

Data Scientist or Senior Data Analyst: The programme will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.

 

Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.

 

Data Engineer/Big Data Engineer: The programme will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.

 

Software Developer: The programme will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.

This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.

This programme is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This programme demands consistent work and time commitment over the entire duration of 13 months.

This programme is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed into Senior Data Scientist and Machine Learning/AI roles. Our Executive PG Programme in Machine Learning and AI is aimed at facilitating the transition of professionals to the Machine Learning field.

Post completion of the program, a Executive PG Program in Machine Learning & Artificial Intelligence will be granted from IIIT Bangalore.

The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the program comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.

STEP-1: Online Eligibility Test

Fill out an application and take a quick 40-minute online test with 18 questions to assess your aptitude.10 questions from mathematics, aptitude & reasoning & 8 questions from programming.

 

STEP-2: Review and Shortlisting of Suitable Candidates

Our faculty will review all applications, considering the educational and professional background of an applicant and review the test scores where applicable. Following this, Offer Letters will be rolled out so you are assured a great peer group to learn and network with.

 

STEP-3:  Enrollment for Access to Prep Content

Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.

Disclaimer:

1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

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