$450 – $695

Artificial Intelligence Level 100 Training | AI Training | IT Training

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Instructor led Online | Video Conference

Bellevue, WA

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Description

As per this article by NYTimes - "In the entire world, fewer than 10,000 people have the skills necessary to tackle serious artificial intelligence research, according to Element AI, an independent lab in Montreal."


Artificial Intelligence Technology

Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science.

About this course

  • What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?
  • They are all complex real world problems being solved with applications of intelligence (AI).
  • This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
  • You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.
  • Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

What you will learn in this course?

  • In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
  • In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
  • Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

What are the pre-requisites?

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.

Students are required to have some basic of Python programming and an understanding of probability. Homework assignments will have a programming component in Python. The course offers an excellent opportunity for students to dive into Python while solving AI problems and learning its applications.


Why Artificial Intelligence Training from Omni212?

1. Omni212 provides Artificial Intelligence Product engineering services
2. Two of our most experienced, AI instructors teach this class.
3. Employees of Microsoft, Zulily, have been interested in taking our AI classes.
4. Class recordings, Training manual for this class will be made available.
5. Post class support
6. Appropriate software access
7. Career advancement and Job placement assistance


Next class starting

December 2, 2017


Video Conference link

Will be sent upon your registration and payment


Training Session Details

There will be 5 online sessions, each session being of 2 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises.

Training Dates

  • Begins December 2, taught over 2.5 weekends ending on December 16
  • Every Sat, Sun
  • Times: 9:00 AM - 11:00 AM (US Pacific Time) every session
  • Each session will be recorded and the recordings will be shared after each session with students.

Tentative Course Outline

  1. Introduction to AI, history of AI, course logistics

  2. Intelligent agents, uninformed search

  3. Heuristic search, A* algorithm

  4. Adversarial search, games

  5. Constraint Satisfaction Problems

  6. Machine Learning: Basic concepts, linear models, perceptron, K nearest neighbors

  7. Machine Learning: advanced models, neural networks, SVMs, decision trees and unsupervised learning

  8. Markov decision processes and reinforcement learning

  9. Logical Agent, propositional logic and first order logic

  10. AI applications (NLP)

  11. AI applications (Vision/Robotics)

  12. Review and Conclusion


Class Size: Maximum 22


Price: $495


REFUND POLICY

1. There will be no refunds.

2. If a class is not taken for any reason, rescheduled or cancelled, purchase price can be applied toward any published future class by Omni212 of equal or lesser value.



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Date and Time

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Instructor led Online | Video Conference

Bellevue, WA

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Refund Policy

No Refunds

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