Introduction to Artificial Intelligence
Details
Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll 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.
Key Features of AI for Beginners Course
- 3.5 hours of enriched learning
- Lifetime access to self-paced learning
- Industry-recognized course completion certificate
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median
salary of an AI engineer in the US is $171,715(Source: Datamation). By 2022, the AI market will grow at a CAGR of 53.25 per cent, and an estimated. 2.3 million jobs will be created in the AI field by 2020 (Source: Gartner).
What are the objectives of AI for beginners course?
The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their
effect on real-world business processes. By the end of the course, you will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics.
What skills will you learn from this Introduction to Artificial Intelligence course?Upon completion of this course, you will understand:
- 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
Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
- 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 AI algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in artificial intelligence or machine learning
There is no prerequisite for this Introduction to Artificial Intelligence course. It does not require programming or IT background, making it ideal for professionals in all walks of corporate life
Outline
Lesson 01 - Decoding Artificial Intelligence
Lesson 02 - Fundamentals of Machine Learning and Deep Learning
Lesson 03 - Machine Learning Workflow
Lesson 04 - Performance Metrics
Speaker/s
Named by Onalytica as the No.1 influencer in AI & Machine Learning space, Mike serves as Head of Data Science for Uber ATG self-driving engineering team and as UC Berkeley data science faculty.
Vivek is an entrepreneur and thought Leader in Artificial Intelligence and deep-tech industries. He is a leading data scientist and researcher with expertise in AI, Machine Learning, and Deep Learning.
Special Offer
Course link: https://www.simplilearn.com/artificial-intelligence-introduction-for-beginners-training-course
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