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Elevate your career with our comprehensive Artificial Intelligence Course within 7 months
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Course PreviewThis Artificial Intelligence course, in collaboration with IITM Pravartak, is designed to help learners upgrade their skills in artificial intelligence, deep learning, and generative AI.
Some of the learning objectives for this course are
Some of the critical topics you will learn in the AI Program are:
You will acquire skills in machine learning, deep learning, neural networks, natural language processing (NLP), Computer Vision, and Generative AI. The course also covers programming languages like Python and tools like TensorFlow, Keras, and OpenCV, essential for implementing AI models and computer vision applications.
There are no prerequisites for participating in this course. You can easily take this course training online according to your convenience.
Artificial Intelligence is transforming industries, with applications across diverse sectors. In McKinsey’s 2024 Global Survey, 65% of organisations report regular AI use in their operations.
The AI market is projected to reach USD 184.00 billion in 2024 and grow at a CAGR of 28.46%, reaching USD 826.70 billion by 2030. – Statista
An AI Engineer designs and builds machine learning models, develops AI systems, and improves algorithms to solve problems. They ensure data quality, work closely with teams to deploy AI solutions, and regularly monitor performance to make systems more accurate and efficient.
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From the Indian National Academy of Engineering, his research area includes data mining, process design and optimization, FDD, etc. He has co-authored several reconciliation papers and a course book, ‘Data Science for Engineers’ on the NPTEL platform.
Dr. Tangirala is a professor at IIT Madras with expertise in analytical chemistry and a keen interest in controller performance monitoring, time-frequency analysis of processes, fuel cells, etc.
Dr. Babji Srinivasan is an assistant professor in the Department of Applied Mechanics at IIT Madras. He holds a PhD from Texas Tech University, and his research interests span from behavioral informatics to cognitive systems engineering.
He is an assistant professor in the biotech department at IIT Madras and holds a DSc from EPFL, Switzerland. His research interests include the modeling and optimization of biological networks and Machine Learning.
Suresh Ramadurai is involved in teaching market research as a visiting faculty member at various IIMs and in training analytics professionals. He is an IIT Delhi graduate with a degree in chemical engineering and holds a PG Diploma in Management from IIM Bangalore.
Dr. Ravi Hegde, who holds a PhD from the University of Michigan, Ann Arbor, has over 22 years of experience specializing in the intersections of nanotechnology and AI, nanophotonics for beyond-moore computing, and immersive sensing.
He has over 15 years of expertise handling various analytics projects, using several ML algorithms in multiple business domains. He has extensive knowledge of SAS, SQL, R, and Python and is proficient in big data environments.
Anurag Singh works at Schneider Electric Hub as a principal AI architect. He started as a software engineer in 2007 and has been working as a data scientist since 2018. He specializes in big data, data science, machine learning, and AI system architecture.
Phaneendra Akula is currently working at Sunrise Biztech Systems Private Limited. He has more than nine years of experience in data science and has worked in prestigious companies like Genpact, TCS, and Tesco.
Nishkam Shivam is a senior data scientist in analytics and AI at Bristlecone. He has more than nine years of experience in this field and has also worked in renowned companies like Accenture, Walmart, Emeritus, and many more.
He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.
Vishwath Parthasarathy is a data scientist-III at InMobi. He has also worked at Amazon and PipeCandy. His expertise extends to machine learning, deep learning, MLOps, and algorithmic trading. He has been working as a data scientist since 2017.
Dr. Jayadev completed his Ph.D. from IIT Madras. He is currently employed as a Senior Data Scientist at GyanData and has over 11 years of experience, including working as a Project Associate at IIT Madras.
Data Science
Python
Data Analysis
Git
AI
MLOps
SQL
Data Wrangling
Prediction Algorithms
Statistics and Probability
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Generative AI
PySpark
Data Visualization
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The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.
Artificial Intelligence Projects
IIT Madras Pravartak, a Technology Innovation Hub at IIT Madras, operates under funding from the Department of Science and Technology, Government of India, as part of the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). The academy is dedicated to application-oriented research and innovation in the fields of SNACS. Notably, BharOS, India’s pioneering mobile operating system, was developed by a company incubated at IIT Madras Pravartak.
Key Achievements of IIT Madras:
You can unlock your certificate issued by us in three simple steps:
Land Your Dream Job Like Our Alumni
This Program and training involves the simultaneous participation of both learners and instructors in an online environment. As a learner, you can log in to our applied AI certification course sessions from anywhere and attend the class without being physically present. Additionally, we record all class sessions and provide access to these recordings to further enrich your learning experience. Upon completion of this course, your experience will be equivalent to that of a professional who has worked for six months in the industry.
You will earn prestigious certification in Data Science & AI from IITM Pravartak (A Technology Innovation Hub of IIT Madras). As part of this Artificial Intelligence Certification, you will master the AI skills required to land the top jobs in AI and receive industry-recognized certification from Intellipaat.
Basic programming language can help the candidate understand the fundamentals of the course. However, if you are new to programming, there’s no need to worry. This comprehensive course includes Python programming, which provides all the tools needed to kickstart your career in artificial intelligence.
The answer is yes. A non-IT candidate can surely learn AI. A background in computer science and other technical domains is very helpful, but AI is a broad field, and thus, it encourages people from various backgrounds to learn and flourish in it.
Yes, we provide mock interviews during this course. These help you practice the real interview scenarios, boosting your confidence and increasing your chances of success.
Yes, Intellipaat provides practice exams for this course, which will help you enhance your subject knowledge and prepare for the exams.
The process for getting into the placement pool is as follows:
Yes, this online AI Program is recommended for freshers. It starts with very basic concepts like Python programming, and then it gradually covers more advanced topics related to AI. This helps freshers learn AI concepts from scratch and understand how to apply them to real-world problems.
Intellipaat provides query resolution support, allowing you to raise a ticket with our dedicated support team anytime. You can access email support for all your questions. If a query remains unresolved through email, we can arrange one-on-one sessions with our support team. Please note that one-on-one session support is available for up to 6 months from the start date of your course.
Yes, Intellipaat offers job assistance to all learners who successfully complete the training and qualify for the placement pool by passing the Placement Readiness Test (PRT). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you secure your ideal job by providing access to competitive opportunities in the corporate world. It allows you to pursue a well-paid job that suits your profile. However, the final hiring decision will depend on your interview performance and the recruiter’s requirements.
