Free Deep Learning Course! Self-Paced! Enroll now.
Free Machine Learning Course! Self-Paced! Enroll now.
Free Python Course! Self-Paced! Enroll now.
Free Math for Data Science! Self-Paced! Enroll now.
Avyuct Academy
Avyuct Academy is an e-learning platform that will provide you in-depth training in core Data Science concepts and help you become industry-ready.
- Learn the fundamentals of Data Science at Avyuct Academy where we follow à la carte model of learning.
- Choose what you really want to learn from our selection of highly customized learning modules.
- Learn industry-relevant skills from the experts.
- With our real-world targeted projects, build a resume that will set you apart.
Our Courses
Introduction to Machine Learning
- Enroll Now!
- Duration – 6 weeks
- Self Paced Learning
- Jupyter Notebooks
- Introductory Free!
- Certificate on completion
- See Full Course Outline
Introduction to Deep Learning
- Enroll Now!
- Duration – 6 weeks
- Self Paced Learning
- Jupyter Notebooks
- Introductory Free!
- Certificate on completion
- See Full Course Outline
Natural Language Processing
- Duration – 6 weeks
- Self Paced Learning
- Instructor Led Sessions
- Introductory Pricing!
- Certificate on completion
- Seats are limited!
- See Full Course Outline
Python for Data Science
- Enroll Now!
- Duration – 2 weeks
- Self Paced Learning
- Jupyter Notebooks
- Introductory Free!
- Certificate on completion
- See Full Course Outline
Mathematics for Data Science
- Enroll Now!
- Duration – 2 weeks
- Self Paced Learning
- Jupyter Notebooks
- Introductory Free!
- Certificate on completion
- See Full Course Outline
Register Here
Please fill out the form below with your details. We will notify you as soon as the course go live!
Meet Our Instructors

Dr. Rajesh Aggarwal
Dr. Rajesh Aggarwal is an eminent Data Scientist and teaches Data Science at Volgenau School of Engineering, George Mason University. He has extensive experience in the field of Machine Learning, Computer Vision, Natural Language Processing and Reinforcement Learning. Dr. Aggarwal has more than 30 years of experience and is an expert in the architecture, design and delivery of complex AI/ML and Data Science solutions to solve business and customer issues with significant commercial and government experience. Dr. Aggarwal has strong technical skills with excellent design and architecture capabilities combined with the proven ability to build and manage motivated and focused teams and deliver on complex projects.
Dr. Aggarwal obtained his Doctorate in Applied Mathematics from Columbia University, New York.

Ayushi Tiwari
Ayushi is a Data Scientist at Avyuct where she leads the AI/ML content development effort. She is also actively involved in building ML engines to support the company’s small satellite experiments. Before joining Avyuct, Ayushi obtained her Masters in Data Analytics Engineering from George Mason University where she worked on designing interesting ML solutions around real world problems. She believes in the power of AI and that there is a pressing need to train people in this domain to meet the rising demand for skilled Data Scientists. In her spare time, Ayushi likes to read books and take care of her plants. She also enjoys mentoring and helping learners and one of her goal is to guide people on how to break into the field of Data Science and build successful careers for themselves.

Junghwan Kim
Junghwan is a seasoned Python programmer who enjoys working on complex problems and breaking it down to design simpler solutions. He has a Masters in Data Analytics Engineering from George Mason University and is an Artificial Intelligence researcher, developer, and educator with notable industry experience. He is extremely passionate about the power of Data Science and wishes to give back to the community by sharing his knowledge and helping people break into this field. As a Data Scientist at Avyuct Junghwan has worked on the most niche areas of Machine Learning and AI where he has designed robust ML engines for deep Reinforcement Learning and Computer Vision experiments. In his spare time, Junghwan enjoys creating and editing soccer videos and sharing it with YouTube viewers and soccer enthusiasts around the world.
What is Hybrid Learning?
Hybrid Learning is a form of flexible learning approach where students follow a self-paced learning method during the week followed by instructor led live session over the weekend.
What is the batch size for a single course?
Each batch has atmost 20 students.
What is the medium for course delivery?
Usually, there are videos that will help with understanding the concepts, followed by live instructor led session at the end of the week.
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