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Application Fee ₹1000

EARLY BIRD OPEN

Cohort 15

Overview

About Program

AI/ML is now mainstream. Every tech professional irrespective of their role in the organization today needs to be AI/ML ready to compete in the new world order.

IIIT Hyderabad, a research-based institution is leading the AI/ML research and education initiatives in India. This AI/ML Executive Certification Program is designed for working professionals and delivered in Bengaluru enabling a wider audience to benefit from the expertise of IIIT Hyderabad’s Machine Learning Lab. The program has successfully completed 11 cohorts with 2200+ participants (250+ participants from Bengaluru), currently working with 600 top companies.

This 18-week program is designed as an intense classroom+online format. The program is hands-on with a balanced mix of lectures and labs. You will be able to get assistance from mentors throughout the program. The Hackathons, Group Labs, and Workshops also enable you to work in teams of exceptional peer group. It is delivered by leaders from Academia and Industry.


About IIIT Hyderabad

  • First IIIT
    in India

  • #1 in AI Research
    in India

  • Largest CS Research Group in India

  • #1 in Robotics Research in Asia

Kohli Center on Intelligent Systems (KCIS) at IIIT Hyderabad was established in 2015 to give a fillip to research, teaching and entrepreneurship in the Broad Intelligent Systems Area. It has the #1 rated Machine Learning Lab in India and acts as an umbrella organization at the institute to both strengthen the existing groups and facilitate new activities in related areas. It also acts as a force multiplier in attracting projects and funding from the government and industry sectors, coordinating research in related domains across different IIIT Hyderabad centers, as well as in the institute's research collaboration with other academic institutions in the country. For more information please visit www.iiit.ac.in


Learn from Leaders

Advisory Committee

  • C. V. JawaharProfessor, IIIT Hyderabad

    C. V. Jawahar received his Ph.D. from Indian Institute of Technology Kharagpur. He is the Machine Learning Lab Head, Dean (RnD) and Amazon Chair Professor at IIIT Hyderabad. He is a renowned expert in Machine Learning and Optimization, Document Image Analysis, and Computer Vision.

  • Anoop NamboodiriAssociate Professor, IIIT Hyderabad

    Anoop Namboodiri received his Ph.D. in Computer Science from Michigan State University, USA. He is associated with the Centre for Visual Information Technology. His research interests include Pattern Recognition, Biometrics, Document Understanding, and Computer Vision

Lead Faculty

  • Asokan PichaiChief Learning Officer, TalentSprint

    Asokan is an Industry Instructor, Instructional Designer, and Programming Guru, with a solid software development experience of over 35 years. He is an early adopter of open-source software. He has acted as a consultant in the FOSSEE project at IIT Bombay. He also launched India’s first successful and profitable city portal.

  • Vineet GandhiAssistant Professor, IIIT Hyderabad

    Vineet Gandhi received his Ph.D. in Applied Mathematics and Computer Science from INRIA Rhone Alpes/University of Grenoble. His research areas include Computer vision and multimedia, human detection and tracking, computational photography and cinematography, depth reconstruction and applications.

  • Ravi KiranAssistant Professor, IIIT Hyderabad

    Ravi Kiran received his Ph.D. from the Department of Computational and Data Sciences, Indian Institute of Science, Bangalore. His research areas include Computer Vision, Machine Learning, Virtual Reality, Robotics, Affective Computing, Document Analysis and Multimedia.

  • Avinash SharmaAssistant Professor, IIIT Hyderabad

    Avinash Sharma received his Ph.D. in Applied Mathematics from INP Grenoble and INRIA
    Rhone-Alpes. His research areas include 3D Human Reconstruction, 3D Point Cloud Generation and Analysis, Spectral Graph Analytics, Brain Graph Analytics, GraphSLAM in Robotics.

  • Manish ShrivastavaAssistant Professor, IIIT Hyderabad

    Manish Shrivastava received his Ph.D. in Computer Science from Indian Institute of Technology Bombay. His research areas include Natural Language Processing, Machine Learning, Machine Translation, NLP for India Languages.

Faculty

  • Vikram PudiAssociate Professor, IIIT Hyderabad

    Vikram Pudi received his Ph.D. in Data Mining from Indian Institute of Science, Bangalore. His research areas include Data Mining, Artificial Intelligence, Database Systems and Pattern Recognition.

  • Praveen ParuchuriAssociate Professor, IIIT Hyderabad

    Praveen Paruchuri received his Ph.D. in Computer Science from University of Southern California, USA. His research areas include Artificial Intelligence, Multi-agent Systems, Game Theory, Applied Machine Learning and Intelligent Transportation.

  • Naresh ManwaniAssistant Professor, IIIT Hyderabad

    Naresh Manwani received his Ph.D. in Machine Learning and Pattern Recognition from Indian Institute of Science, Bangalore. His research areas include Machine Learning, Data Mining, Deep Learning, Natural Language Processing, statistical learning theory, online learning and reinforcement learning.

  • Girish VarmaAssistant Professor, IIIT Hyderabad

    Girish Varma received his Ph.D. in Computational Complexity theory from Tata Institute of Fundamental Research, Mumbai. His research areas include Complexity Theory and Algorithms, Combinatorics, Computer Vision, Transportation & Autonomous Navigation and Machine Learning.


PROGRAM FEEDBACK

Feedback from Program Participants

“The Program content is well designed and delivered at par excellence. A-must-go-to Program for an IT professional.”
Joginder Singh, Program Manager, Qualcomm

“The IIIT Hyderabad faculty is simply superb and competent to teach AI and Machine Learning”
Sridhar Chilla, Lead Consultant, British Telecom

“It is about the collaboration & networking that this Program brings to the table.”
Krishna Chilamkurthy, Program Manager, Microsoft

“Overall structure didn't overwhelm, considering some of us haven't been coding for a while.”
Saritha, Sr. Technical Manager, Netcracker

“The Program has been brilliantly structured in a way that even a beginner can easily understand AI concepts.”
Kandula Andula Lakshmi Chaya, Manager, R&D, Broadcom

“Structured curriculum with industry projects and hackathons makes this course very effective.”
Swaroop Shivaram, Principal Engineer, Target

“The best thing that's happened to me in the last few decades.”
Yunis Ahmad, Senior Director, Netenrich

“The Program offers a great pool of information and it is impressive that I could absorb so much in a short duration.”
Om Prakash Jaiswal, Senior Software Engineer, Opentalk

Participant Profile

  • 2200+Participants working with 600+ Companies

  • 70%Participants with over 5 Years of Experience

  • 19%Women Participants

  • 30%From Startups and Small Companies

    Job Profile

  • 12%Leadership

  • 27%Manager

  • 27%Analyst

  • 34%Developer

From Top Organizations

  • Accenture
  • Adobe
  • ADP
  • Amazon
  • AMD
  • AT&T
  • Bank of America
  • Bayer
  • Bosch
  • Byju's
  • CA Technologies
  • Capgemini
  • CGI
  • Citrix
  • Cisco
  • Cognizant
  • Cyient
  • DBS
  • Dell
  • Deloitte
  • DXC Technology
  • ECIL
  • Elsevier
  • Ericsson
  • GE
  • Genesys
  • Genpact
  • Genuitec LLC
  • Google
  • Guardian
  • HCL
  • Hewlett Packard
  • Hitachi Consulting
  • Honeywell
  • Housejoy
  • HP
  • HSBC
  • Hyundai Mobis
  • IBM
  • ICICI Bank
  • Infosys
  • Intel
  • Intuit
  • JPMorgan Chase
  • LTI
  • LG
  • Medtronic
  • Microsemi
  • Microsoft
  • NCR
  • NetApp
  • Nokia
  • Novartis
  • NTT Data
  • OLA Cabs
  • Oracle
  • Paytm
  • Pegasystems
  • Polycom
  • PwC
  • Qualcomm
  • Salesforce
  • Samsung
  • SAP
  • Schneider Electric
  • Siemens
  • TCS
  • Tech Mahindra
  • Uber
  • United Health Group
  • Verizon
  • Virtusa
  • VMWARE
  • Wells Fargo
  • Wipro
  • Zensar Technologies
  • Zoomcar

Curriculum for Practitioners

Foundations

Foundations Refresh your knowledge on coding and mathematics necessary for building expertise in AI/ML.

  • Introduction to Python Programming
  • Key Python Libraries (NumPy, SciPy, Pandas, Matplotlib)
  • Refresher for Math Concepts (Online)
  • Overview of AI and ML Concepts

Problem Formulation and Solving

Problem Formulation and Solving Learn to translate real-world problems in terms of AI/ML abstractions.

  • Formulating Real World Problems for AI/ML
  • Intuitive and Simple Algorithms
  • Data Processing and Visualization
  • Representation of Real World Data
  • Supervised and Unsupervised Learning
  • Classification and Regression Problems
  • End-to-end Problem Solving

Closer Look at AIML Algorithms

AIML Algorithms Learn about and apply standard AI/ML algorithms to create AI/ML applications.

  • Principles and Practice of ML
  • Linear Algorithms, Training and Optimization
  • Non-linear Solutions and MLP
  • Gradient Descent and Backpropagation
  • Decision Trees, Random Forests and Ensembles
  • Support Vector Machines and Kernels

Deep Learning and Practical Issues

Deep Learning Implement practical solutions using Deep Learning Techniques and Toolchains.

  • Introduction to Deep Learning
  • Convolutional Neural Networks
  • Auto-Encoders
  • Recurrent Neural Networks
  • Overview of Advanced Topics
  • Human In the Loop Solutions, Deployment
  • Generative Adversarial Networks

Industry Hackathons**

  • Chatbot

    Building a domain agnostic chatbot which can be configured to perform actions such as ticket booking, a restaurant reservation or even choosing a laptop.

  • Speech-Based IVRS

    Building a voice-based food ordering application that is trained to handle voice recognition in a noisy environment by harnessing the power of machine learning.

  • Phone Unlocking with Anti-face Spoofing

    Building a phone unlocking app, using deep learning algorithms, to verify a registered face. An app that is secured against spoofing by identifying the change in expression.

  • *These are just some of the interesting Hackathons and Projects in the Program

    Download CurriculumDOWNLOAD BROCHURE

Hybrid Delivery

  • Online Sessions 1

    Jul 04 - 19, 2020

  • Bootcamp 1

    Jul 24 - 26, 2020
    Bengaluru

  • Online Sessions 2

    Aug 01 - Sep 13, 2020

  • Bootcamp 2

    Sep 18 - 20, 2020
    Bengaluru

  • Online Sessions 3

    Sep 26 - Nov 8, 2020

  • Bootcamp 3

    Nov 20 - 22, 2020
    Bengaluru

Join Cohort 15

For working professionals in Bengaluru
and across India

  • 18-Week Program
  • 30 LIVE Interactive Online Classes
    (2 Classes of 2 hours each on Saturdays)
  • 30 LIVE Interactive Lab Sessions
    (2 Sessions of 2 hours each on Sundays)
  • 3 Bootcamps at Bengaluru
    (3 days each over weekends)

9381795700 / 6303277388


What should you expect from this Program?

  • BuildBuild and deploy AI/ML and Deep Learning Apps
  • LearnLearn from the world class faculty and professionals
  • ReinforceReinforce learning by applying concepts
  • CertificateObtain an Advanced Certification from
    IIIT Hyderabad ML Lab
  • AlumniGet Alumni Status of IIIT Hyderabad Executive Education
AIML Certificate

ENROLLMENT PROCESS

Eligibility

  • Tech Professionals with at least 1 year work experience and coding background

Your AI/ML Journey

  • Apply for the
    Program

    By sharing your education and professional details

  • Wait for
    Selection

    By program selection committee

  • Block Your
    Seat

    By Remitting the Registration Fee

  • Enroll for the
    Program

    By Remitting the Full Program Fee

  • Start Building
    AI/ML Expertise

    From July 2020

  • Get Certified by IIIT Hyderabad ML Lab

    By November 2020


Fee

Fee with Flexible Remittance Options

Details Amount Dates
Enrollment Fee ₹20,000 Within 3 days of selection
Balance Fee ₹1,80,000 Within 1 Month of selection
Total Program Fee ₹2,00,000 + GST
Travel and stay for Bootcamps to be borne by participants

PARTNERS

About Talentsprint

  • Deep Tech Program
    for Professionals

  • Best in Class
    Hybrid Platform

  • Industry
    Partnerships

  • Academic
    Partnerships

TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world class academic institutions and global corporations to develop and offer disruptive programs. TalentSprint's hybrid platform delivers unique onsite and online experiences that help build cutting-edge expertise, for today and tomorrow. For more information please visit www.talentsprint.com


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