Machine Learning - Artificial Intelligence

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  • Artificial intelligence (AI) and machine learning are among the most highly compensated digital economy skills. Accelerate your career with our acclaimed Program in AI and Machine Learning in partnership with Silver Oak University. This course features the perfect mix of concepts, case studies, extensive hands - on practice in artificial intelligence education, leveraging academic excellence by industrial experts. Complete curriculum is managed, developed and delivered by industrial experts across all semesters. Complete program runs with industrial collaboration.
  • Degree in AI-ML at Silver Oak University is a blend of self-paced learning, live demo sessions, hands-on industrial projects, super computer enabled labs and more. Industrial experts Mentorship sessions will provide you with a high-engagement learning experience and real-world applications, helping you master essential AI and machine learning skills.
  • Students will learn how to deploy deep learning models in cloud environments, natural language processing (NLP), speech recognition, and reinforcement learning, which will prepare you for an exciting career in AI and machine learning.
  • The AI and Machine Learning program will bring you through the Artificial Intelligence decision cycle, including exploratory data analysis, building and fine-tuning a model with cutting edge AI-based algorithms, and representing results. The program milestones are as follows:
    • Industrial coloration-based teaching
    • Real world projects
    • Production Level deployment
    • Internships
    • Concepts oriented teaching

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Benefits & fruitful Outcomes

  • Hands-on experience and the deep-meaning, purpose, scope, stages, applications, and effects of AI Ml and Computer Vision
  • Learn about end-to-end “Production Pipeline Deployment” and implementation in various environment
  • Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing
  • Implement deep learning algorithms, understand neural networks,and traverse the layers of data abstraction which will empower you to understand data like never before
  • Perform Live projects
  • Learn deep learning techniques like object detection using computer vision
  • Gain expertise in mathematical based AI teaching.
  • Master the concepts of supervised and unsupervised learning, recommendation engine, time series modeling and more. Validate machine learning models and decode.
  • Explore tools, such as tensorflow, Py torch, Keras, to build computer vision applications
  • Perform distributed and parallel computing using high-performance GPUs
  • Deploy deep learning models with Flask/Django, Kubernetes, and serverless environments like Docker and SageMaker over cloud.
  • Learn about natural language understanding and natural language generation
  • Understand the fundamentals of natural language processing (NLP) using the most popular library, Python’s Natural Language Toolkit (NLTK)
  • Learn how to solve reinforcement learning problems with a variety of strategies

Chief Mentor ML-AI Program

Mr. Harshal Trivedi

Founder, Softvan Founder & CEO Tusker AI

Harshal Trivedi is a Product Guy & a successful serial entrepreneur who brought a revolution in the outsourcing industry by setting up an R&D ecosystem in South Asia to attract Low-Mid-Cap Global Market and TUSKER AI would be his 3rd Venture. He has a long line of successful deliverables in which he contributed to Graphlab, an Automated ML project of CMU which has been now acquired by Apple. He has been working with like-minded Innovators for over a decade now, Harshal’s pedigree shows that he delivers successful milestones exits to multiple business verticals and he Trained and mentored over 10k+ AI/ML and Cloud professionals over the last decade. Harshal is an accomplished AI technologist and has Served as CTO at “Sequoia”- which was a funded AI/ML startup and he has also published 15+ research papers on AI & Cloud Computing. He has been an Eminent Keynote speaker in several ted talks and AWS conferences.

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