Covid-19 Update: IIIT-H and TalentSprint introduce Flexi-5 Initiative to ensure safety, flexibility, excellence and timeliness Know more
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Cohort 14

Overview

About Program

Advanced Certification in AI/ML is an in-depth and comprehensive program suitable for tech professionals. The program is led by collaborative faculty from academia, industry and global bluechip institutions. The unique 5-step learning process of masterclass lectures, hands-on labs, mentorship, hackathons, and workshops ensure fast-track learning.

The program is offered at Hyderabad in a 13-week format. The delivery format is adapted to suit working professionals who can attend in-person classes every weekend. This enables professionals from in and around Hyderabad to build AI/ML expertise from India’s top Machine Learning Lab at IIIT Hyderabad.

  • “This Program helps working professionals rejuvenate their careers in AI/ML”
  • “This Program provides a curriculum that helps executives climb the AI/ML ladder.”

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

Faculty

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

  • 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.

  • 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.

  • 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.

  • 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


Jaya Srivastava
Microsoft

Sashank Chithajallu
Paytm

Charles Sasi Paul
VoltusWave

Srikanth Bringu
Yatra.com

N Shashi Kumar
Siemens

“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

Transforming Career of Professionals with the Power of AI/ML


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%Leaders

  • 27%Managers

  • 27%Analysts

  • 34%Developers

From Top Organizations

  • AccentureAdobeADPAmazonAMD
  • AT&TBank of AmericaBayerBoschByju's
  • CA TechnologiesCapgeminiCGICitrixCisco
  • CognizantCyientDBSDellDeloitte
  • DXC TechnologyECILElsevierEricssonGE
  • GenesysGenpactGenuitec LLCGoogleGuardian
  • HCLHewlett Packard Hitachi ConsultingHoneywellHousejoy
  • HPHSBCHyundai MobisIBMICICI Bank
  • InfosysIntelIntuitJPMorgan ChaseLTI
  • LGMedtronicMicrosemiMicrosoftNCR
  • NetAppNokiaNovartisNTT DataOLA Cabs
  • OraclePaytmPegasystemsPolycomPwC
  • QualcommSalesforceSamsungSAPSchneider Electric
  • SiemensTCSTech MahindraUberUnited Health Group
  • VerizonVirtusaVMWAREWells FargoWipro
  • Zensar TechnologiesZoomcar

PROGRAM DETAILS

Curriculum

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

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

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

Implement practical solutions using Deep Learning
Techniques.

  • 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

Join Cohort 14

13-Week Program for tech professionals in Hyderabad

Classes start in April 2020

Contact Sessions at Hyderabad for
13 weekends (Saturday, Sunday)

93817 93925 / 99891 64846

Connect with the Program RMs

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

ENROLMENT 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 April 2020

    Get Certified by IIIT Hyderabad ML Lab

    By July 2020

Fee

Fee with Flexible Payment Options

Details Amount When?
Enrolment Fee ₹20,000 Within 48 hours of selection
Balance Fee ₹1,80,000 Within 7 days of enrolment
Total Program Fee ₹2,00,000 + GST

Group, Women, Youth and Startup Scholarships upto ₹50,000 are available.
Please contact your Relationship Manager for details.

Flexible 0% EMI Options available

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

News

Program Media Coverage

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Economic Times
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Times of India
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Locations

  • Hyderabad IIIT Hyderabad and TalentSprint,
    Gachibowli, Hyderabad 500 032

    View Map

FAQ

Most Frequently Asked

What is the Flexi-5 initiative?

In the wake of Covid-19, the world is going through an uncertain phase. Working from home, not being able to socialize, and concerns about personal and family safety are taking a toll on all of us. We hope the situation will improve soon.

More than ever before, we now need a balance between safety and flexibility in everything we do. We at IIIT Hyderabad and TalentSprint are fully committed to safety, flexibility, excellence and timeliness with regard to all of our programs.

In line with this, we are introducing a Flexi-5 initiative:
1 2 3 4 5
Attend live interactive online classes by top professors from the safety of your home Attend in-person classes by top professors whenever it is safe and feasible Lock-in the right to repeat any scheduled classes in the future, with subsequent cohorts High-quality peer-learning, group labs, and hackathons on digital platform Slash your monthly EMI payments by half

If you choose to enroll for Cohort-14, the Flexi-5 Initiative will give you an opportunity to continue your focus on long term goals and career objectives while retaining maximum flexibility.

You can connect with your Relationship Manager Jivin 91215 32428 / Yochana 99891 64846 to participate in the Flexi-5 initiative.

What are the features of the Digital Learning Platform?

Our state-of-the-art, direct-to-device digital learning platform, being used by top institutions (IIIT, IIT, IIM) provides the following rich features:

Online

How will this platform support lecture classes?

Our digital platform enables participants to

  • Attend all lecture classes online from any location on any device (computer, tablet or smartphone)
  • Interact with faculty, through audio and chat, during the online session
  • Interact with your peers, through chat during the online session

How will this platform support lab sessions?

Our digital platform supports mentored online labs for necessary hands on learning.

  • All practical labs are available online on the platform
  • You will have the option to interact with a mentor during the lab sessions
  • You will also be able to set up one-on-one mentoring session during weekdays
  • You can also work with your peer group on the platform for group projects

Will I be able to interact with faculty and other participants in the online classes?

Yes, all our online sessions are highly interactive and enable audio and chat interaction. Participants can interact and ask questions to faculty through audio. The chat window is common to all participants and faculty and allows interaction among participants.

How will my doubts be cleared in the absence of physical interaction?

The classes will have enough interaction to get your doubts cleared. You will also have the additional options:

  • Discussion forum is open in every course, wherein you can post your queries to be answered by peers in the class, mentors
  • Review session scheduled periodically where you can ask the professors and get your doubts clarified
  • One on one sessions with mentors can be scheduled anytime during the program

What kind of infrastructure do I need to attend these online classes?

All you need is an internet-connected device, computer/tablet/smartphone, to be able to participate in the online interactive sessions. A regular broadband connection is sufficient to participate in online sessions. You can also use your 4G connections on smartphones. However, you will need a computer with the necessary configuration to do the online lab sessions.

Will I be able to get support from mentors for lab exercises?

Yes, program mentors will be available to provide you the required assistance during your online lab exercises schedule.

How will I interact with my group members for a group project?

Participants can interact with their group members for the projects conveniently using Zoom or Skype calls. TalentSprint’s platform will also have the provision of group specific discussion forums for asynchronous discussion among the group members.

When will the in-person classes start?

The contact sessions (in-person) would start as soon as the circumstances permit. It depends on how the situation evolves ensuring the conduct of contact sessions without having any concerns.

How convenient is the platform?

TalentSprint’s hybrid learning platform values your time and aspirations helping you build your expertise 24x7. The platform is preferred by leading academic institutions including IIM Calcutta, IIT Kanpur and IIIT Hyderabad. The platform is also tested for scale with over 30,000 participants using this platform for their learning.

Why is this Program designed as an intense online session?

Machine Learning is a deep technology. It requires a learning format that is tailored for working professionals. However, in the wake of Covid-19, we at IIIT Hyderabad and TalentSprint are fully committed to safety, flexibility, excellence and timeliness with regard to all of our programs. Keeping this in mind, we have designed a Flexi-5 Initiative that works as shown below.

1 2 3 4 5
Attend live interactive online classes by top professors from the safety of your home Attend in-person classes by top professors whenever it is safe and feasible Lock-in the right to repeat any scheduled classes in the future, with subsequent cohorts High-quality peer-learning, group labs and hackathons on digital platform Slash your monthly EMI payments by half

After work, generating the intensity and energy required for gaining expertise in such a technology is not easy without faculty support and peer learning. This is why the Program has been designed to be delivered digitally with Masterclass Lectures, Mentorship, Hackathons, Workshops and Lab Exercises (with peers and mentor support).

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