Bring an undeniable transformation in the technological world with a PG Diploma/ M. Tech/M.Sc in Artificial Intelligence program offered by RACE. The comprehensive learning approach to master the domains of Artificial Intelligence, Data Science, Business Analytics, Business Intelligence, and Deep Learning enables the participants to take on challenging roles in the Artificial Intelligence domain. This 12/24 month program is recognised by UGC.
Trainers are industry thought leaders with more than a decade of experience with specialisation in Artificial Intelligence and Machine Learning domains. The trainers offer hands-on training with access to real-time projects.
Upon the completion of the program, the participants will be able to:
Familiarize with Concepts
Understand the building blocks of AI in terms of intelligent agents, search, knowledge representation, inference, logic, and learning.
Implement AI Applications
Implement AI Systems to automate customer engagement, predict business outcomes, enhance recruitment process, handle repetitive jobs, and so on.
Deploy Relevant Software
The hands-on learning using state-of-the-art AI labs and proprietary tools enable the participants to deploy relevant software like Python, MySQL, TensorFlow, Keras, Apache Spark, IBM Watson, PyTorch, OpenAI, and H2O efficiently.
The trimesters of the program are designed to help the professionals in their career transition by giving exposure from the basics to advanced level of big data, ML systems and AI applications. The curriculum of the program with hands-on learning opportunities enables the participants to deploy the AI models effectively in businesses.
In this module, the participants will learn the building blocks of intelligent systems. They will learn programming best practices and how to harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. They will also learn to design custom functions, write scripts, and handle errors and create and generate basic AI algorithms. They will be able to embed reasoning and thinking into programming.
After completing this module, the participants will be able to manipulate the functions, source codes and debug the Python programs, will be able to write fluent Python reasoning based functions and will be able to integrate programs and functions written in different languages/tools.
This course will provide knowledge and skills for understanding Linear Algebra fundamentals and applications in Machine Learning. Participants will work on a few in-classroom projects to get the first-hand experience of their learned skills and an end-term assignment to reinforce their ability to apply independently. The learners will work on advanced matrix operations and supervised and unsupervised algorithms using linear algebra.
At the end of the course, the participant will be equipped with knowledge, skill and experience to important Linear Algebra algorithms in Machine Learning. Hands-on projects on customer segmentation, dimension reduction, topic modelling are the highlights of the module.
The proposed course will provide knowledge and skills related to SQL, for handling structured/tabular data. Participants will work on a few in-classroom practicals to get the first-hand experience of their learned skills and an end-term assignment to reinforce their ability to apply them independently. Through this course, they will also understand the unstructured data and its types and they will learn about collecting and accessing text data from different sources, implementing text cleaning, pre-processing and feature engineering in NLP along with advanced methods of feature engineering.
At the end of the course, the participant will be equipped with knowledge, skill and experience to handle structured, i.e., tabular data and unstructured data such as text, image, video, etc. in AI and Data Science Projects.
This module aims to provide a strong foundation on applying statistical concepts and methods in real-world situations and domains related to analytics. The course intends to provide them with experience in communicating the results to non-statistical/business stakeholders and present their cases with appropriate business relevance.
At the end of this module, the participants will be able to understand the predictive analytics in the present scenario and its applications by the industry along with formulating the predictive models for prediction.
The objective of this course is to introduce the field of Machine Learning, in particular focusing on the core concepts of supervised and unsupervised learning. Participants will learn algorithms that underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms. The practical sessions will include the application of machine learning to a range of real-world problems.
At the end of this module, participants will have a strong understanding of machine learning that can be applied for problem-solving. They will become familiar with all the concepts with supervised and unsupervised categories of Machin Learning along with the hands-on exposure to implementing all the machine learning models.
This course provides a unique opportunity for you to learn key components of text mining and analytics aided by real-world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be competent data scientists.
After completing this course, participants will know all the basic concepts of natural language processing to be applied with text data along with the hands-on exposure to implementing NLP models to find insights from the text data.
The objective of this module is to make the participants able to understand, implement and apply the state of the art deep learning models in real-world problems. The participants will get in-depth understanding and hands-on exposure to applying deep learning methods to solve a variety of computer vision-based problems.
At the end of this course, the participants will become familiar with the deep learning models with knowing practical implementation of all the important deep learning models and in-depth understanding of real-world applications of deep learning models.
This course from AWS Academy inotrduces the concepts and terminology of Artificial Intelligence and Machine learning. By the end of this course, partcipants will be able to select and apply machine learning services to resolve business problems. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach.
The topics would include, Implementing a Machine Learning pipeline with Amazon SageMaker, Select and Train an algorithm, Forecasting, NLP, Computer Vision and associated labs with certification exam.
This course provides an introduction to some of the foundational ideas on which modern reinforcement learning is built, including Markov decision processes, value functions, Monte Carlo estimation, dynamic programming, temporal difference learning, eligibility traces, and function approximation. This course will develop an intuitive understanding of these concepts (taking the agent’s perspective), while also focusing on the mathematical theory of reinforcement learning. Programming assignments and projects will require implementing and testing complete decision-making systems.
After completing this course, participants will have an understanding of reinforcement learning with its real-life application, hands-on exposure to implementing the reinforcement models and algorithms and the ability to develop games based on reinforcement learning.
The objective of this course is to make the participants manage Azure resources for machine learning; Run experiments and train models; Deploy and operationalize machine learning solutions; Implement responsible machine learning. Upon completion, the participants will receive the Microsoft Certified Azure Data Scientist Associate, one of the sought after global certifications.
The first year Artificial Intelligence program will culminate in designing, preparing and presenting a real-time capstone project on a live business/technical AI challenge. The final certification is strictly based on the successful completion and submission of the capstone project with a favourable assessment from the panel of mentors. The objective is to develop your technical and consulting capabilities by applying the lessons learnt in the program to real-life business situations. This will help in managing and deploying an AI project from inception to completion combining artificial intelligence, business intelligence, analytical skills and domain expertise with real business outcomes.
Through the capstone project, the participants will develop problem-solving skills in a real business situation using Artificial Intelligence. They will build consulting competencies about solving a business challenge for a client/business unit and contribute to the overall success of the organization by developing superior practices through implementing Artificial Intelligence.
The capstone project will improve personal decision-making capabilities backed by data-driven insights and enhance project writing skills addressing the needs of stakeholders which can be published as a white paper or journal article.
This course will explore some of the basic principles and techniques from these areas which are currently being used in real-world computer vision systems and the research and development of new systems. The objectives are to develop your understanding of the basic principles and techniques of image processing and image understanding and to develop your skills in the design and implementation of computer vision software.
At the end of this course, the participants will be able to understand and master basic knowledge, theories and methods in image processing and computer vision. They will be able to identify, formulate and solve problems in image processing and computer vision along with design and develop practical and innovative image analytics and computer vision applications or systems.
The objective of this course is to make the participants able to develop and use speech analytics tools that can indicate why the customers are calling, provide real-time analytics for agents and even monitor conversions.
At the end of this course, participants will be familiar with speech analytics methods and its applications along with the hands-on knowledge of how to develop and use the speech analytics tools and applying speech analytics methods to address real-world problems.
The objective of this course is to develop the skills to gain a basic understanding of neural network theory and fuzzy logic theory. and Introduce students to artificial neural networks and fuzzy theory from an engineering perspective.
After completing this course, the participants will be able to comprehend the fuzzy logic and the concept of fuzziness involved in various systems and fuzzy set theory. They will be able to understand the fundamental theory and concepts of neural networks and identify different neural network architectures, algorithms, applications and their limitations.
This course is designed by Microsoft Azure to build cognitive AI skills. The course covers; Plan and Manage an Azure Cognitive Services Solution, Implement Computer Vision Solutions, Implement Natural Language Processing Solutions, Implement Knowledge Mining Solutions and Implement Conversational AI Solutions. At the end of the course, the participants will have to clear the global certification exam and will be certified as Azure AI Engineer Associate.
The second-year Artificial Intelligence program will culminate in designing, preparing and presenting a real-time capstone project on a live challenge in Artificial Intelligence. The final certification is strictly based on the successful completion and submission of the capstone project with a favourable assessment from the panel of mentors during the viva. The objective is to develop your designing and consulting capabilities by applying the lessons learnt in the program to real-life situations.
To create an environment to engage participants in delivering and listening to interesting talks that promote discussion, to provide them with the opportunity to learn new concepts and skills acquired in core courses and further extend these ideas to solve research/industry-related problems. Also, to enable the participants to find their field of interest in academia, industry or entrepreneurship and develop their learning and teaching styles and communication skills.
Through this course, the participants will be able to study research papers for the understanding of a new field, in the absence of a textbook, to summarize and review them. The participants will know how to impart skills in preparing detailed reports describing the project and results. They will get the skills developed to effectively communicate by making an oral presentation before an evaluation committee.
As a third phase of the capstone project, this module let the participants aware of writing research papers and publishing or presenting it in peer-reviewed journals or reputed international conferences. Through this course, the participants will get two major benefits. First, they learn research paper writing and publishing/presenting skills. Second, they will get exposure to research work.
The objective is to provide self-learning opportunities to the participants with flexibility and convenience. The participants will get a chance to take a course that is not a part of this curriculum but they are interested to learn that as a skill.
After completing this course, the participants will be able to earn skills in a self-learning environment. Through this course, they will learn an additional skill based on their choice and organizational needs that will be an addition of independently learned skills to the regular degree program.
The tools used for experiential learning in AI are Around 15+ advanced tools are used to encourage proactive learning among the participants, which consist of proprietary SIEM and SOAR tools, and open-source tools.
Learn by doing real-life projects to transform the learning process not only interesting but also engaging.
RACE has a thriving industry connect in consulting and participants will get to work with diverse industries and businesses by setting and co-creating AI solutions. The facilities at the campus include state-of-the-art AI labs with NLP/Vision Technology and mentors with expertise in core areas enable the participants to work on live AI projects.
RACE’s NLP team is led by senior industry leaders and research scholars. The students can work together on projects ranging from sentiment analytics, linguistics, and conversational algorithms in multiple applications on agriculture, education, and citizen support systems. RACE’s customised NLP software with built-in models for multiple tasks are used in processing natural language elements in various projects.
This lab works on images and videos and projects ranging from object identification, detecting motions, and developing intelligent actions. The researchers in this lab work on health care images and videos, and building automated systems for health care professionals.
RACE is in the process of building a state-of-the-art AI accelerator to provide data management and high performance (3X to 5X improvement over workstation servers) AI Modelling services. This lab is used to build multiple prototypes and test them at scale.
RACE in association with industry partners is building a trainable humanoid with basic motions and speech processing SDK to field test the developed models. The production services will work as a model factory to provide runtime deployment of field-tested models.
Industry mentors are the assets of REVA Academy for Corporate Excellence. The industry experience of our mentors helps the participants to bridge the gap between classroom learning and the industry
Dr. Simha’s core competency is in R&D, business intelligence and analytics consulting. He has implemented several large scale systems for telecom, BFSI and manufacturing industries in business intelligence and analytics. He has been recognized as one of the ‘Top 10 Most Prominent Data Science Academicians in India: 2019’ by Analytics India Magazine.
Leading a talented team of Data Scientists and Analytics professionals in Amazon to draw insights and build actionable models from mostly unstructured data such as text and speech from India and other geographies. He has won prestigious awards such as Project Excellence Award from Citigroup and Annual Leadership Award from Target. He has also been recognized as one of the ‘Top 10 Data Scientists in India: 2020’.
Pradeepta Mishra is the Head of AI at L & T (LYMBYC) and leads a group of Data Scientists, computational linguistics experts, Machine Learning and Deep Learning experts in creating value in the industry. He has expertise across various branches of Artificial Intelligence including Image Processing, Audio Processing, NLP, NLG and NLI, and design and implementation of expert systems and personal digital assistants.
Sandeep is a seasoned and hands-on machine learning scientist with a strong experience in building world-class software products, machine learning and churning humongous data. His core expertise is in Deep Learning (TensorFlow, Scikit learn, MLLib), Distributed Computing (Spark, Hadoop, Kafka), Software Development (Web/Mobile, Python/Scala/Java/C/JS), User-Centric product development, etc.
A Data Scientist who has expertise in the areas of Web Analytics and AI/Machine Learning including Text Mining (Natural Language Processing).
He uses his research skills with a passion for marketing and client-facing roles. He has been recognized as one of the ‘Top 40 under 40 Data Scientists in India: 2019’ by Analytics India Magazine.
Dr. Angshuman Ghosh is a data science and strategy leader with experience in retail, media, research, and tech domains. As a Data Scientist, he led data science and analytics projects using cutting-edge technologies like Artificial Intelligence, Machine Learning, Deep Learning, etc. He is also a member of prestigious Harvard Square Leaders Excellence and American Marketing Association.
Prahlad is a Strategist, Industry Leader, Change Expert and a Leadership Coach. He had led several engagements and business units globally by guiding companies in their business, operations, IT and Analytics strategy, and execution. His expertise is in the areas of Consumer Products, Business Development, Business Transformation Consulting, Corporate Strategy, and Leadership Mentoring & Coaching.
Gopal is a leading subject-matter-expert in Cloud, AI, and Automation technologies. He has a proven track record of driving digital transformation at scale for 1K enterprises across multiple industries. Gopal is an inspiring technology leader known for building and sustaining talented teams of consultants, architects, and software developers across America, Europe, Asia, and Australia.
Artificial Intelligence and Machine Learning Evangelist, an Author, a Speaker, and a Mentor who drives AI and Data Science-led strategic transformation. He had led strategy and transformation interventions through AI by working on various Machine Learning, Deep Learning, Natural Language Processing, and Artificial intelligence engagements by applying state-of-the-art techniques in this space.
Sayandeb has worked both as part of the large enterprises by setting up the analytics capabilities as well as a service provider for various enterprises. Sayandeb has also played several intrapreneurial roles like designing training and pedagogy by establishing hiring practices, innovation, marketing, and communication.
Amaralingeswara is well-experienced in a wide variety of software development and professional services include Product Development, Quality Assurance, Support, and Lab Services. His core expertise is in optimising the operational, technical and delivery efficiency of teams by taking challenges. He has been awarded as “Best People manager of 2010” by IBM India.
Dr. Santosh Nair has extensive experience in statistical modelling and advanced analytics consulting. He has extensive experience in statistical modelling and advanced analytics consulting. His areas of specialization include Marketing and Media Mix modelling, Pricing, Customer segmentation and Response Modelling in Loyalty Analytics, Testing Analytics and Forecasting.
RACE has also partnered with leading industry giants to ensure the participants achieve their career-oriented goals.
The program fee for the two-year MTech/ MSc in Artificial Intelligence is INR 4.5 lakhs and the one-year PG Diploma in Artificial Intelligence is INR 3.5 lakhs. Merit Discounts for those who scored 60% and above in their pre-qualifying exam is available. Early bird/group/referral discounts are also available.
REVA Academy for Corporate Excellence-RACE has tied up with various banking and non-banking institutions to support the prospective candidates for providing educational loans at a lower interest. These financial institutions will allow you to repay the educational loan in easy instalments and income tax benefits.
Avail hassle-free educational loan to help you to join our Master’s programs to power up your skills to build your dream career.
Answer all of your questions
Artificial intelligence domain shows exponential growth in recent years. AI is the subset of Data Science, which helps to simulate machine intelligence. Learning an emerging technology like AI is a great choice as businesses/organizations are becoming dependent on various AI applications. Businesses/organizations rely on AI as it helps to improve products/services, analyze business models, and enhance decision-making processes in businesses. Hence, enrolling to PGD/M. Tech in Artificial Intelligence program at RACE will take your career to the next leve
Candidates with a minimum of 50% in B. Tech/BE in Computer Science or IT, or equivalent qualification from any recognized university and 2 years of work experience are eligible for M. Tech in AI. Candidates with coding/programming expertise and experience in business analytics or artificial intelligence domain are preferred.
Applicants with B.Sc./BCA/any other equivalent qualification with mathematics as one of the subjects and with a minimum of 2 years of experience are eligible for PGD/MS in Artificial Intelligence.
You will learn programming, Linear Algebra, Data Handling, Deep Learning, Machine Learning, Natural Language Processing, Conversational AI, Fuzzy Systems, Robotics, Computer Vision, etc., during your learning process.
Both PG Diploma and M. Tech in Artificial Intelligence are offered in the format of traditional classroom delivery (on-campus), which is on Saturdays. However, short-term programs/certification courses are available in both online and blended learning modes depending on the requirements of the certification courses.
Yes, we are offering a Certification Course in Artificial Intelligence and Deep Learning in a blended mode of learning i.e. both online and classroom modes of learning.
The demand for artificial intelligence professionals is ever-growing because all of us are living in a technology-driven world. We are creating algorithms that can automate business services and business intelligence. Development of self-driven cars and service robots are creating challenges in the business world. Hence, there is a huge requirement for talented individuals who can change the world with AI applications. AI applications are not limited to automotive/service industry, but also applicable to every other industry.
The duration of the M. Tech/MS in Artificial Intelligence program is 2 years, which consists of 6 trimesters and PG Diploma in Artificial intelligence will be of one year. The duration of the short-term/certification program is 6 days.
Yes, it is possible to pay the fees in installments using your convenient payment modes such as online bank transfer, credit/debit card transfer, cheque, Paytm transfer, etc.
According to the academic calendar, admissions to M. Tech/PGD in Artificial Intelligence will be in two batches, Batch 1 starts in August and Batch 2 starts in January. However, you can apply for the program or book your seats at any time of the year. Admissions will happen throughout the year, but you have to confirm the batch you would like to join.
No. If you do not have 2 years of experience in IT/Artificial intelligence domain, then you will not meet the eligibility criteria of our artificial intelligence programs.
Yes, it is. Our M. Tech in Artificial intelligence program is approved by AICTE, UGC, and REVA University, and MS program is recognized by UGC and REVA University. The postgraduate diploma program is approved by both UGC and the Karnataka Government.
Click on the ‘Apply Now’ button on our website, https://race.reva.edu.in. You’ll be directed to another page where you can choose your preferred program, which will take you to another page that consists of all the program details. Use the pop-up form to fill in your details and register. Once you’ve registered with us, you will get a confirmation mail regarding your registration. Soon after the submission of the registration form, one of our coordinators will contact you and take you through the application process
Once you register/apply for the program, we will assign a coordinator for the applicants. If you have additional queries about the program, you can feel free to contact your coordinator.
Talk to your coordinator, he/she will guide you whether the program is beneficial to meet your career aspirations or not.
We offer state-of-the-art AI labs to promote hands-on learning among the participants such as Natural Language Technology Lab, Vision Technology Lab with Kinetic Sensors and 3D Cameras, Deep Learning Accelerator, and Humanoid Simulators.
RACE cannot guarantee admission after the application deadline, even though you can contact us for admissions throughout the year. We will not admit more than 30 students in a batch. Once we admit the said number of students, we will close the admission for that batch. Once the admissions are closed for a particular batch, you can apply only for the next batch. Hence, it is highly recommended to complete the application process as early as possible.
We offer state-of-the-art AI labs to promote hands-on learning among the participants such as Natural Language Technology Lab, Vision Technology Lab with Kinetic Sensors and 3D Cameras, Deep Learning Accelerator, and Humanoid Simulators.
At present, we offer only one certification program in Artificial intelligence i.e. Certification Course in Artificial Intelligence and Deep Learning. We accommodate only 10-15 participants in each batch of the certification program.
RACE offers weekend classroom training (only on Saturdays) for long-term programs. Both blended and online mode of delivery is applicable for short-term programs depending on the program you choose.
No, you don’t have the option to complete the program online, except for some of the short-term/certification programs.
Yes, once you’ve joined the program, you will get the login details to access the Learning Management System (LMS), where you can find all the learning materials such as pre-readings, assignments, in-class resources, recorded videos of classroom sessions, additional reading materials, webinars, and other learning resources added as per the requirements.
Yes, you can visit a classroom session to understand the teaching-learning process involved in our corporate programs. The coordinator assigned to you will assist you in your visit to our University.
The program outcomes differ from program to program. Upon the completion of each program, you will become a pro in relevant tools, industry skills, and industry best practices. Our programs enable you to achieve your professional and leadership goals.
Yes, we do offer placement assistance that includes career guidance, resume building tips and mock interviews. Each participant will receive staunch support from the industry mentors, who also direct you through various placement opportunities within the industry. Placements also happen through peer, alumni and mentor referrals. Above all, we are partnered with leading MNC’s that offer placement opportunities to our participants.
Success is in the DNA of RACE. Decipher the successful journey of RACE through our mentors and participants.
We are training industry professionals and far ahead in imparting education specifically in cutting-edge technology education. RACE, REVA University is the best in terms of state-of-the-art labs. I’m proud to be associated with RACE since the beginning in developing course curriculum and content. What I feel good about RACE programs is that the programs offered here are not available pan India, except in few universities. The live projects of these programs give great exposure to the participants to get into future jobs.
I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business Analytics program at REVA Academy for Corporate Excellence (RACE), 2019-2021 Batch. The credit goes to RACE mentors and my batch mates. Still, a long way to go to learn and improve my skills I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business
The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science and Business Analytics domain as the program allowed me to solve real-life problems using machine learning models and data science techniques. The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science
“I have been associated with REVA University for Corpddordate I have been associated with REVA University for Corporate Excellence for last 4+ years, working closely with the PGDM/MBA in Business Analytics Batches in delivery, helping with use cases, and some of the data processing areas. Even though the participants joining RACE’s programs are well-experienced, they would like to expand or switch their career for better opportunities. To advance in their career, MBA/PGDM in Business Analytics program of RACE is a great choice.
The program helped me to make a career transition as a Data The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported me in my career and has offered a lot of exposure in the data science/analytics domain. The structured and experiential learning at RACE will help the program participants to advance in their career. “The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported
Being a program/project manager for the past 7 years and with Being a program/project manager for the past 7 years and with more than 9 years of experience in technologies like Java, .net, DevOps, I got associated with REVA for MBA (Artificial intelligence). I have learnt from classroom sessions with many industry leaders and got exposure to real-time business understanding in AI. The hands-on sessions at RACE helped me a lot in exploring new opportunities in Data Science and the Artificial intelligence world.
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