CLOSE
CLOSE
https://aisectlearn.com/wp-login.php?action=logout&redirect_to=https%3A%2F%2Faisectlearn.com%2Fmy-account%2F&_wpnonce=ff8a2252e3

AWS Academy Machine Learning Foundation Internship

Self-Paced

Fee: 999

Dr.Priti Maheshwary | Dean Future Skills Academy

The AWS Academy Machine Learning Foundations Internship integrates comprehensive training in machine learning principles with an entrepreneurial curriculum to foster innovation and business acumen. Students will delve into key machine learning concepts and gain practical experience using Amazon Sage Maker. Additionally, they will develop entrepreneurial competencies through a structured framework, preparing them to leverage AI technologies in real-world applications.

Objectives

At the end of the course the students will learn

Provide a solid understanding of machine learning concepts and terminology.

Equip students to implement end-to-end machine learning pipelines using Amazon SageMaker

Introduce advanced topics such as forecasting, computer vision, natural language processing, and generative AI.

Develop entrepreneurial mindsets and competencies applicable to AI and machine learning domains.

Facilitate problem-solving using frameworks like the Problem Solution Fit Canvas and Business Model Canvas.

Prepare students to identify market needs, develop viable solutions, and optimize business models in AI ventures.

What Will You Learn

Fundamental principles and applications of machine learning. Hands-on experience in building machine learning pipelines with Amazon SageMaker. Techniques for forecasting, computer vision, natural language processing, and generative AI. Introduction to entrepreneurship, its benefits, barriers, and essential competencies. Application of problem-solving frameworks (Problem Solution Fit Canvas, Business Model Canvas). Strategies for achieving product-market fit and optimizing business processes.

Skills you will gain
Implementing machine learning pipelines with Amazon SageMaker.
Applying machine learning for business solutions.
Understanding forecasting and computer vision.
Problem-solving with customer-focused frameworks.
Developing optimized business models in AI.
Integrating innovative AI solutions into ventures.

Curriculum

  • Welcome to AWS Academy Machine Learning Foundations

  •  
  • Introducing Machine Learning

  •  
  • Implementing a Machine Learning pipeline with Amazon Sage Maker

  •  
  • Introducing Forecasting

  •  
  • Introducing Computer Vision (CV)

  •  
  • Introducing Natural Language Processing

  •  
  • Introducing Generative AI

  •  
  • Entrepreneurship Skills

  •  
  • Internship-Project

  •  

Instructor

Dr. Priti Maheshwary
Dean Future Skills Academy
IT, Computer Science

Presently working at Future Skill Academy. Involved in Computer Science and Engineering for over 20 years in higher education and training. Her career has included various software development projects, teaching, research and administrative roles. She enjoys teaching and looking into how to improve student learning experience. Published around 50 research papers in refereed journals and conferences, 7 book chapters, 6 Patents. 8 PhD thesis completed under her guidance in the field of Internet of Things, Smart Cities, Ubiquitous Computing, Wireless Sensor Network, VANET, Image Processing specialized in Satellite Images, AI/ML & Deep Learning, and Cyber Security. I have also done more than 10 projects in the field of Research and Consultancy.

4.0 1045 1100 Learners
Shareable Certificate
Certificate Sample - Aisect Learn

Other Details

AWS Academy Machine Learning Foundation Internship

Level
Basic
Credentials
Certificate
Fees
999
Get Skilled, Get hired by Top Companies. Job Placement Assistance