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Prerequisites to learning Artificial Intelligence | AI Prereq Training | IT Training | AI Pre-requisites | Disruptive Technologies Training

Omni212
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Endorsed by Curators:
Dec 02 7:00AM - 9:00AM

"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." -NY Timesarticle



As us how you can save an additional $50 on the top of the ticketed price



About this Course

This course is essential for those who want to learn AI but do not have the prerequisite knowledge. In order to learn AI, you need the following prerequisite knowledge which is being taught in this course:

  • Linear Algebra
  • Probability
  • Statistics
  • Programming in Python or similar language
  • Data Structures & Algorithms


What are the pre-requisites?

This course does not require any previous knowledge of statistics. Basic familiarity with algebra such as knowing how to compute the mean, median and mode of a set of numbers will be helpful.


Why Artificial Intelligence Prerequisite 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 prerequisite 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 8 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 4 weekends ending on December 24
  • Every Sat, Sun
  • Times: 7:00 AM - 9:00 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

  • Visualizing relationships in data
  • Seeing relationships in data.
  • Making predictions based on data.
  • Simpson's paradox.
  • Probability
  • Introduction to Probability.
  • Bayes Rule.
  • Correlation vs. Causation.
  • Estimation
  • Maximum Likelihood Estimation.
  • Mean, Median, Mode.
  • Standard Deviation and Variance.
  • Outliers and Normal Distribution.
  • Outliers, Quartiles.
  • Binomial Distribution.
  • Manipulating Normal Distribution.
  • Inference.
  • Confidence Intervals.
  • Hypothesis Testing.
  • Regression
  • Linear regression.
  • Correlation.
  • Linear Algebra
  • Programming in Python or similar language
  • Data Structures & Algorithms


Class Size:Maximum 22


Price:$550


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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Seattle Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies

Seattle Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies

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Lacey Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies

Lacey Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies

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Video Conference DetailsWill be sent after registration and paymentCourse OverviewThe prerequisites to learning Disruptive technologies include:ProbabilityStatisticsLinear AlgebraCalculus…
 
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Endorsed by Curators:
Portland Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies

Portland Prerequisites to Learning Artificial Intelligence | AI | Machine Learning | Deep Learning | IT Training | Disruptive Technologies

Dec 16 7:30AM - 9:30AM
Video Conference DetailsWill be sent after registration and paymentCourse OverviewThe prerequisites to learning Disruptive technologies include:ProbabilityStatisticsLinear AlgebraCalculus…