(All course fees are in USD)

Course Description

This Introduction to AI provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. You would learn the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

Offered in Partnership with

Simplilearn

Course Delivery

Online self-paced learning: 3.5 hours

Benefits

3+ hours of enriched learning

This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.

Skills to be Learned

• Purpose of artificial intelligence technology
• Concepts of deep learning and machine learning workflow
• Supervised learning
• Semi-supervised learning
• Unsupervised learning

Awards

“Certificate of Achievement” in Introduction to Artificial Intelligence

Awarding Organisation

Simplilearn

Learning Outcomes

When you complete this Introduction to Artificial Intelligence course, you will be able to accomplish the following:

• The meaning, purpose, scope, stages, applications, and effects of AI
• Fundamental concepts of machine learning and deep learning
• The difference between supervised, semi-supervised and unsupervised learning
• Machine Learning workflow and how to implement the steps effectively
• The role of performance metrics and how to identify their key methods

Assessments

Course-end assessments

Course Completion Criteria

• Complete the self-pace learning
• Obtain 80% in the Simulation Test

Who Should Enrol

• Developers aspiring to be an Artificial Intelligence engineer or Machine Learning engineer
• Analytics managers who are leading a team of analysts
• Information architects who want to gain expertise in Artificial Intelligence algorithms
• Graduates looking to build a career in Artificial Intelligence and Machine Learning

Prerequisites

There are no prerequisite knowledge requirements.

Course Overview

Lesson 1 – Introduction to Artificial Intelligence

Lesson 2 – Course Introduction

Lesson 3 – Decoding Artificial Intelligence

Lesson 4 – Fundamentals of Machine Learning and Deep Learning

Lesson 5 – Machine Learning Workflow

Lesson 6 – Performance Metrics

Access Period of Course

1 year from date of enrolment

*Note: We reserve the right to revise/change any of the course content &/or instructor at our sole & absolute discretion, without prior notice to learner.