High Impact Format
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"Program tailor-made for the working professional."
"The IIIT Hyderabad faculty is simply superb and competent to teach AI and Machine Learning."
"The best thing that's happened to me in the last few decades."
"The Program helped me absorb a lot of information in a short duration."
Om Prakash Jaiswal
"The Program content is well designed and delivered at par excellence. A-must-go-to Program for an IT professional."
"Structured curriculum with industry projects and hackathons makes this course very effective."
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 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
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 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 holds a PG Diploma in Computer Programming. He is an Industry Instructor, Instructional Designer, and Programming Guru, with a software development experience of over 35 years. His subject-matter expertise includes Programming languages - COBOL, Clipper, C, C++, Python, Haskell, Elixir, Clojure, Java and Ruby.
Dr. Habeebvulla received his Ph.D. in Computer Science from Calorx University. Habeebvulla has worked in diverse roles in the software development cycle as Developer and Technical Lead. His areas of expertise include AI/ML, Data Science, OCR, Computer Vision and Design Patterns.
Manish received his Ph.D. from the University of Illinois. His area of interest includes Big Data Analytics, Algorithms, Deep Learning, Data Mining, Information Retrieval and Web Mining, Databases, Text Mining, Machine Learning, Time Series Analysis, Graph Mining, Natural Language Processing, Optimization.
Manish received his Ph.D. from IIT, Bombay. His areas of interest include Natural Language Processing, ML, Machine Translation, NLP for Indian Languages. His publications include ‘Experiences in Constructing a POS Tagger for Hindi’, ‘Hierarchical Phrase Based Machine Translation Systems for Five Indian Languages’ and more.
Anil received his Ph.D. from IIT, Kharagpur. His areas of interest include Speech Recognition, Speaker Recognition, Language Identification, Speech Processing in Emotional Conditions, Pathological Speech Processing and Speech to Speech Machine Translation.
Praveen received his Ph.D. from the University of Southern California. His areas of interest include Artificial Intelligence, Multi-agent Systems, and Game Theory, Linear/Integer Programming and Applied Machine Learning.
Machine Learning Deployment using
ML in NLP
ML in Speech
*Campus visit dates will be decided keeping the safety of participants in mind.
Professionals keen to develop AI expertise, with the objective of
Tech Professionals with at least 1 year work experience
and coding background
Application fee of ₹1,000 + GST
Fees paid are non-refundable and non-transferable.
DeepTalk is an interactive series by TalentSprint on DeepTech, hoster by Dr. Santanu Paul, where leaders share their unique perspectives with our community of professionals.
In this DeepTalk event, Dr. Manish Gupta, a Google AI veteran throws light on how and why some basic frontiers in India can be augmented with technology, covering exciting aspects about leveraging AI’s power in real-life applications.
Step 1 of 2
IIITH said the rollout was in response to a demand for deep-tech expertise currently sweeping through knowledge professionals in all major technology hubs of the country.
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There are 5 reasons why serious professionals prefer the IIIT Hyderabad AIML Program.
"Structured curriculum with industry projects and hackathons makes this course very effective."
Swaroop Shivaram, Principal Engineer, Target
"The AIML program gave the real understanding of working with ML algorithms that I could even tackle Kaggle problems. Post completion, I could confidently get into the ML team at my workplace
Sravya Yellapragada, Development Engineer, Pramati Technologies
"Doing hackathons with a diverse group of people gave an opportunity to learn and share ideas, knowledge with them."
Tejeswini, Project Engineer, Skyrus Engineering
"Hands-on learning, tech support, experienced faculty, exposure to real-world problems - the right way to learn AI/ML for professionals."
Sai Kiran Gumma, Vice President, JP Morgan Chase
Industry is clearly looking for professionals who can build AI/ML applications. Professionals with hands-on experience will be preferred by the industry.
This program is designed to reach higher levels of learning as per Bloom's Taxonomy. The program will not only help you Understand, but also enable you to Apply, Analyse and Evaluate which are far higher levels of expertise.
A participant will do 40+ individual lab experiments and 8 mini-hackathons. In addition they will also be participating in 4 hackathons, which includes select kaggle experiments. This will help the participant not only learn and implement AI/ML but also showcase your expertise for the industry to recognize.
Industry needs professionals with technical expertise and domain expertise to work together to solve today's challenges. Generally, domain expertise comes with experience, and tech expertise comes with young professionals.
As AI/ML has recently entered into the main-stage for companies and professionals, and the education system has very limited capacity for producing fresh graduates with AI/ML expertise, the industry is facing severe shortage. NASSCOM predicts that there are 140,000 vacancies while not even 30% of these seats are being fulfilled.
This has opened up great opportunities for working professionals. Those who are developing AI/ML expertise now are in great demand by the industry.
This demand will continue till the education system churns out enough good quality graduates with AI/ML expertise. The fact that the education system right from school is focusing on building AI/ML learning from a young age, and that many engineering institutions have launched focused programs like BTech in AI/ML, the supply will catch up with industry demand over the next 3-5 years.
This opens up a good window of opportunity for working professionals. If someone enters this area in the next 6 months to 1 year, they will have more than 2 year window to showcase their expertise and become the lead for the new generation that would come in.
Professionals are presented with a unique window of opportunity with AI/ML expertise. In the 1990s a large number of science graduates shifted to technology, and they are now defining the Technology sector. Similarly, those who enter the AI/ML area now will have a distinct advantage in the future of the industry.
Here's why this is the right time to invest in building your expertise:
Based on the data since lockdown, we find that serious professionals are using this time to get ready for the future.
Two things are happening as you wait and watch. 1) Younger and more dynamic professionals are going to enter with knowledge, 2) the experience premium will continue to drop thereby making senior professionals less attractive to companies. Hence, earlier one moves into sunrise areas will be better.
The Program will be delivered in interactive digital format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class program with the flexibility and safety of online delivery.
|Benefits of In-Class Delivery||Flexibility and additional value of online|
|Synchronous program delivery by expert faculty||Re-attend classes through recorded archives|
|Interact and get your doubts answered by faculty||Access videos easily with searchable and indexed video archives|
|Work in group with other participants||Learn from the comfort and safety of your home|
|Get support from mentor for labs and experiments||Office hours with one-on-one mentor support|
Program will be delivered on TalentSprint's patent pending iPearl.ai, a leading digital learning platform of choice used for programs delivered by the likes of Google, IIM Calcutta, IIT Hyderabad, IISc, and IIT Kanpur to name a few.
Last 3 cohorts of the AI/ML program has been delivered on this platform and has achieved high completion rate.
Learning effectiveness and experience of the participants on this program has been high with NPS of over 80 (NPS of 50 and above considered excellent while 70 and above is considered "world class")
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 have introduced the following:
|Attend live interactive online classes by top professors from the safety of your home||Practitioner's curriculum with Industry projects and Hackathons||High-quality peer-learning, mentored group labs, and hackathons on digital platform||Long term interest-free EMI options|
If you choose to enroll for Cohort-15, these measures 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 Vinodini +91-99891 82726 for more details.