Features & Benefits
* 8 sessions, each session of 2 hours spread over 4 weeks
* 16 hours of LIVE Instruction spread over 4 weeks
* Training material with lab exercises provided
* Each session is recorded and recordings are provided to students
over Microsoft Cloud
NEXT CLASS STARTING:
* February 24, 2018
COURSE DATES:
February 24 - March 18, 2018
WEEKLY SCHEDULE
* Saturday and Sunday, every week
* 9:30 AM - 11:30 AM (US Pacific Standard Time) each day
Please confirm your local time
[https://www.timeanddate.com/worldclock/converter.html?iso=20180225T030000&p1=234]
VIDEO CONFERENCE LINK
Will be sent upon registration and payment
TRAINING PROVIDER:
Omni212
OMNI212 IT TRAINING
https://www.omni212.com/services/training/
[https://www.omni212.com/services/training/it-training-schedule/]
ARTIFICIAL INTELLIGENCE TRAINING
COURSE OVERVIEW
In this course you will 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.
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.
WHAT YOU WILL LEARN IN THIS COURSE?
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.
WHAT ARE THE PRE-REQUISITES?
Linear Algebra, Probability and Statistics, Data Structures &
Algorithms, Truth, deduction, and Computation, Database Systems,
Logic Programming.
COURSE OUTLINE
* Fundamentals of AI
* Statistics, Uncertainty, and Bayes networks.
* Principles and programming techniques of artificial intelligence -
symbol manipulation, knowledge representation, logical and
probabilistic reasoning, learning, language understanding, vision,
expert systems
* Principal ideas and developments in artificial intelligence -
Problem solving and search, game playing, knowledge representation
and reasoning, uncertainty, machine learning, natural language
processing
* Machine learning.
* Logic and planning.
* Applications of AI
* Image processing and computer vision.
* Natural language processing and information retrieval.
* Data aspect of AI, classification, clustering, normalization
* Intelligent agents, uninformed search
* Distance metrics (result set comparisons), grouping the results
(K-means)
* Heuristic search, A* algorithm
* Adversarial search, games
* Constraint Satisfaction Problems
* Trained algorithms, e.g. random walk, hill climbing
* Machine Learning: Basic concepts, linear models, perceptron, K
nearest neighbors
* Machine Learning: advanced models, neural networks, SVMs, decision
trees and unsupervised learning
* Machine learning libraries in Python
* Markov decision processes and reinforcement learning
* Logical Agent, propositional logic and first order logic
* AI applications (NLP)
* NLP libraries, e.g. nltk
* AI applications (Vision/Robotics)
* Expert Systems
* Review and Conclusion
REFUND POLICY
1. There are no refunds.
2. If for any reason the course has not been taken, class is cancelled
or rescheduled, the payment can be applied towards any future course
by Omni212.
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25/02/2018 Last update