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Format

Online

Learn about ChatGPT and the latest trends in AI

Advanced AI Lecture Series

Learner base

85+ Countries

Recommended 15 hrs/week

13 Months

Start Date

Coming Soon

    Program Overview

    Key Highlights

    Designed for Working Professionals
    Designed for Working Professionals
    600+ Hours of Learning
    600+ Hours of Learning
    15+ Case Studies and Assignments
    15+ Case Studies and Assignments
    6 Practical Hands-on Capstone Projects
    6 Practical Hands-on Capstone Projects
    Live Coding Classes & Profile Building Workshops
    Live Coding Classes & Profile Building Workshops
    Executive Post Graduate Program from IIIT Bangalore & Alumni Status
    Executive Post Graduate Program from IIIT Bangalore & Alumni Status
    Career Bootcamp
    Career Bootcamp
    3 Electives to customise your learning path
    3 Electives to customise your learning path
    Creation of portfolio website on Github to boost the learners’ career persona
    Creation of portfolio website on Github to boost the learners’ career persona
    Scaling & Productionising ML
    Scaling & Productionising ML
    Hackathon
    Hackathon
    Daily Doubt Resolution Sessions
    Daily Doubt Resolution Sessions
    Exclusive Job opportunities Portal
    Exclusive Job opportunities Portal
    High Performance Coaching(1:1)
    High Performance Coaching(1:1)
    AI Powered Profile Builder
    AI Powered Profile Builder
    Just-in-Time Interviews
    Just-in-Time Interviews
    Personalised Industry Session
    Personalised Industry Session
    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.
    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 Laview more

    Who Is This Program For?

    Engineers, Software and IT Professionals, Data Professionals

    Job Opportunity

    Data Engineer, Data Scientist, Machine Learning Engineer, MLview more

    Minimum Eligibility

    Bachelor’s Degree with 50% or equivalent passing marks. Miniview 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 Tools, Languages & Libraries Covered

    Executive PG Program from IIIT Bangalore

    Executive PG Program from IIIT Bangalore
    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.
    Executive PG Program from IIIT Bangalore
    Click to zoom
    • 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 Brochure
    600+
    Hours of Learning
    15+
    Case Studies and Assignments
    35+
    Live Sessions
    6
    Practical Hands-on Capstone Projects

    Stats and EDA

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

    Machine Learning I

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

    Machine Learning - II

    9 Weeks
    • 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

    Deep Learning

    9 Weeks
    • 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)

    Natural Language Processing

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

    ELective : MLOps Elective

    17 Weeks
    • 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()

    Elective : Generative AI Elective

    15 Weeks
    • 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 Vectorstores 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

    4 Weeks
    • 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.
    benefits

    Unleashing the Power of AI: Exploring the Latest Trends in Generative Modelling

     Unleashing the Power of AI: Exploring the Latest Trends in Generative Modelling
    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.
    benefits

    Crack the Code of AI: Demystifying Model Explainability and Interpretability

    Crack the Code of AI: Demystifying Model Explainability and Interpretability
    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.
    benefits

    Building Innovative Products with AI: Leveraging the Power of Generative Modelling

    Building Innovative Products with AI: Leveraging the Power of Generative Modelling
    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.
    benefits

    Innovations in Graph Networks, Computer Vision and Generative Modelling

    Innovations in Graph Networks, Computer Vision and Generative Modelling
    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

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    Learning Support

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

    Practical Learning and Networking

    Practical Learning and Networking
    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
    benefits

    Career Assistance

    Career Assistance
    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

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    Frequently Asked Questions

    Program Details

    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.





    How will this program benefit me?

    The program will benefit you in different ways depending on your prior experiences:
    Data Scientist or Senior Data Analyst: The program 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 program 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 program 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 program 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.

    What is this program intended to do?

    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.

    What can I expect out of this program?

    This program 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 program demands consistent work and time commitment over the entire duration of 13 months.

    What should I NOT expect from this program?

    This program 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 Program in Machine Learning and AI is aimed at facilitating the transition of professionals to the Machine Learning field.

    Is there any certification at the end of the program?

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

    Support

    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.

    Refund Policy

    Is there any deferral or refund policy for this program?

    Selection Criteria

    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.



    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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