Applied AI Essential – Self Paced

  • Course level: All Levels

Description

Self Paced Applied AI Essentials is a comprehensive Artificial Intelligence course to enable beginners and intermediate data scientists to kick start their learning path with in-demand tools and techniques.

Our Program offers unique and personalized features such as:

  • LEARNING AT YOUR OWN PACE
    Do you feel you don’t have the time to pursue another course? Don’t worry, this course is designed to enable you to start and complete the modules at your own pace!
  • THEORETICAL LECTURES, GUIDED NOTEBOOKS & OTHER RESOURCES
    Get access to a wide variety of resources, recorded sessions all of which are designed and structured to help you succeed!
  • ACCESS TO COMMUNITY OF RESEARCHERS, INSTRUCTORS & SUPPORT TEAM
    Our dedicated support team consists of researchers, teachers, and instructors having years of experience in academia and industry.  Get an opportunity to network with our team gaining key insights into the field of AI and ML.
  • POTENTIAL OPPORTUNITY TO WORK WITH US!
    We recognize and onboard talent and many of you would get opportunities to work and collaborate with us on international level projects all of which would boost your portfolio, build skills and experience.

What Will I Learn?

  • Personalized grading and feedback
  • Real-world projects with proprietary data
  • Networking events with peer-learning
  • LiveAi Certificate on Successful Course Completion

Topics for this course

38 Lessons90h

Program Overview

Welcome to AAIE- Self Paced
Course Overview
What’s in it for you
LiveAI Learning path
Course logistics

Module 1 – Programming Basics

Module 2 – Building your first Machine Learning Solution

Module 3 – Deep Dive in Deep Learning

Module 4 & 5 – The HIVE Projects

299

Material Includes

  • Theory lectures
  • Guided notebooks
  • Sample code with explanations
  • Reference materials
  • Proprietary data for real-world projects

Enrolment validity: Lifetime

Requirements

  • Python 3
  • Basic Machine Learning libraries
  • Math fundamentals
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