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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

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Learn AI Development

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.
  • Type
    PG Certificate
  • Start Date
    November 30, 2024
  • Duration
    13 Months
Apply NowDownload Syllabus
GGU-4
PROGRAM PAGE HERO IMAGE MOBILE-7
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International Institute of Information Technology, Bangalore
  • Advanced AI Lecture Series
  • 85+ Countries Learner base

Introduction To PGP In ML & AI From IIIT Bangalore

Course Snapshot

  • 600+

    Hours of Learning

  • 15+

    Industry Projects

  • 20+

    Tools & Libraries

  • 20+ Programming and Gen AI tools
  • Up to date modules integrated with Generative AI
  • Live sessions to cover ChatGPT, Dall-E, Whisper, Pinecone
  • 6 Practical Hands-on Capstone Projects
  • 1:1 Career Mentorship and High Performance Coaching
  • Launch and deploy Generative AI apps
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Advance Your Career with AI with PGP MLAI

By the end of this program, you will be able to:

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    Build AI-powered applications

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    Leverage the hottest ML AI tools

  • placement-icon

    Move into lucrative machine learning and AI roles

  • Lead high-impact ML AI projects

  • Leverage your experience with the right AI specialisation

Key Highlights Of Masters In AI & ML

What is this course about?

Program Benefits

  • 6 Practical Hands-on Capstone Projects

  • Designed for Working Professionals

  • Live Coding Classes & Profile Building Workshops

  • Executive Post Graduate Program from IIIT Bangalore & Alumni Status

  • Dedicated Student Support

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

  • Scaling & Productionising ML

Top Subjects You Will Learn

  • Machine Learning
  • Deep Learning, Computer Vision
  • Natural Language Processing
  • Transformers
  • Cloud and MLOps

Who Is This Program For?

  • Engineers
  • Software and IT Professionals
  • Data Professionals

The program prepares you for several in-demand data roles

  • Machine Learning Engineer
  • AI Engineer
  • Software Developer
  • Data Scientist

Student Support

  • A dedicated program coordinator
  • 24/7 support to answer all your queries! intstudentsupport@upgrad.com
  • Centralised WhatsApp channels for queries

20 Programming Languages, Tools & Libraries Covered

PG Programme In ML & AI (Executive) Certification

Earn valuable Credentials & Recognition

Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore.

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Explore Our Learning Platform

Learn on an AI-powered & personalised platform with best-in-class
content, live sessions & mentoring from leading industry experts.

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Syllabus Of IIIT-B PG In ML & AI

What will you learn?

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

600+ Hours of Learning
60+ Case Studies
45+ Live Sessions
11 Coding Assignments
Download Syllabus

INSTRUCTORS

Whom will you learn from?

  • instructors-icon-1
    4 Instructors
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    4 Industry Experts

PG In AI & ML Related Projects

Learn by Doing

Gain industry exposure with relevant projects taught by leading faculty from IIIT Bangalore AI ML department and industry leaders.

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    15+ Industry Projects

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.

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.
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 Artificial 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.
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.
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).

PG In AI And ML Learner Services

How will upGrad support you?

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.

Access to Top Experts + Customized Learning Plan
  • With our Post Graduate Diploma in AI & ML, get industry expert guidance via interactive live sessions, covering class topics + advanced topics beyond the curriculum

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

Class Profile Of PG In ML & AI

Who've enrolled for this course?

IIIT Bangalore's PG Diploma caters to professionals from diverse backgrounds, creating a vibrant environment with enriching interactions

By Industry
Information Technology and Services
68%
Banking and Financial Services
8%
Healthcare
3%
Science and Technology
2%
Others
19%
By Work Experience
6%
4%
17%
17%
56%
By Highest Qualification
GRADUATION
57%
POST_GRADUATION
25%
INTERMEDIATE
15%
Others
3%
By Degree Type
59%
7%
5%
4%
25%
By Age
34+
44%
30-34
23%
26-30
20%
22-26
10%
Others
3%
By Gender
76%
24%

Career Impact

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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.

Learn More
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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.

Learn More
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Interview Preparation

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

Learn More

GGU DBA Alumni Careers

Our Learners upGrad alumni Work At

Success stories

What Our Learners Say

Eligibility Of PG In AI And ML Course

How to Apply

The Executive PG Diploma in Machine Learning & Artificial Intelligence admissions process is easy and can be done entirely online.

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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

Apply Now
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Program Fees: CAD

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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

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Frequently Asked Questions

1. How do I know if this program is for me?

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.

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.

Read More

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.

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.

Read More

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 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.

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

1. What type of learning should I expect?

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.

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.

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1. What is the selection process for this program?

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.

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.

Read More

1. Is there any deferral or refund policy for this program?

Refund Policy:

1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.

2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.

3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.

Refund Policy:

1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.

2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.

3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.

Read More

upGrad Learner Support

Monday to Saturday | 24 Hours.

Phone Number

*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you on purpose.

Disclaimer

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.