Artificial Intelligence (AI) Course Overview

Artificial Intelligence Training course from Mindmajix covers all the key AI concepts and helps you to become a successful Artificial Intelligence Engineer in this fast-growing domain. The trainee will learn AI by mastering natural language processing, deep neural networks, predictive analytics, reinforcement learning, and more programming languages needed to shine in this field. Through this online training, you will also work on real-time projects and easily get through the Artificial Intelligence Certification.

Why Should you learn Artificial Intelligence (AI) ?

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Self-Paced Learning
  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Artificial Intelligence (AI) videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample Artificial Intelligence (AI) training videos before signing up.
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Live Online Training
  • Live demonstration of features and practicals.
  • Get LMS access of each Artificial Intelligence (AI) Online training session that you attend through GotoMeeting.
  • Gain guidance on certification.
  • Attend a Free Demo before signing up.

Next Demo Sessions

05 Apr, 2020 (Weekend)
08 Apr, 2020 (Fast Track)
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Corporate Training
For Business
  • Self-Paced/Live Online/Classroom modes of training available.
  • Engage in Artificial Intelligence (AI) Classroom Training lecture by an industry expert at your facility.
  • Learn as per full day schedule with discussions,exercises and practical use cases.
  • Design your own course content based on your project requirements.
  • Gain complete guidance on certification.
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Artificial Intelligence (AI) Course Content

  • Why use Python for data science
  • Installation of Python using Anaconda in local system along with Jupiter notebook
  • Flowchart for representing the logic
  • Data Structures in python
  • Conditional statements & loops in python
  • An object-oriented programming paradigm in python
  • Exception handling in python
  • Multiprocessing & Multithreading in python
  • File Handling in python
  • Asymptotic notations
  • Google Cloud Colab
  • Introduction to Numpy
  • Creating Arrays
  • Initial Placeholders
  • Saving & loading on disk
  • Saving & loading Text Files
  • Inspection of Array
  • Arithmetic operations
  • Comparison operations
  • Aggregate Functions
  • Copying Arrays
  • Sorting Arrays
  • Subsetting, Slicing & Indexing
  • Array Manipulations

Introduction to Pandas
Pandas Data structures (Series & DataFrame)
Input & Output operations using pandas
Selection operations
Reading & Writing to SQL Query or Database Table
Dropping
Sort & Rank
Retrieving Series/ DataFrame Information
Applying Functions
Data Alignment
Data Preprocessing using pandas

Preparing the data
Creating the plot
Plotting Routines
Customizing the Plot
Saving the Plot
Displaying the Plot

Areas of Math essential to machine learning (Probability, Statistical Inference,
Linear Algebra, Calculus)
Importance of Math in Machine Learning
The concept of probability
Probability spaces
Axioms of Probability
Types of probability spaces (Discrete & Continuous spaces)
Example of discrete probability space
Example of continuous probability space
Probability Distributions (Discrete & Continuous distribution)
Random Variables
Multivariate probability distributions
Example of Multivariate distribution
Marginal & Conditional Probability
Example of Marginal Probability
Example of Conditional Probability
Continuous Multivariate Distribution
Expected value of a function
Example of Expected value of a function
Expected Value in Continuous Space
Mean
Variance
Covariance
Pearson Correlation Coefficient
Complement rule for occurence of an event
Product rule for co-occurence of events
Rule of total probability
Indepence of event occurrence
Bayes Rule with example
Probabilities: When to add, When to multiply

+ 9 more lessons

Mock Interviews

  • Mock interviews by Mindmajix gives you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 5+ years. So you’re sure to improve your chances of getting hired!

How Mindmajix's Mock Interview Works?

Projects

  • To put your knowledge on into action, you will be required to work on two industry-based projects that discuss significant real-time use cases.
  • These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the certification exam.

Our Course in Comparison

Features

  • Demos at Convenient Time?
  • 1-1 Training
  • Batch Start Dates
  • Customize Course Content
  • EMI Option
  • Mock Interviews after Training
  • Group Discounts

Mindmajix

  • At your Convenience

Others

  • Fixed

Artificial Intelligence (AI) Online Training Objectives

Upon completion of the training, you will be able to:

  • Understand TensorFlow concepts, functions, operations and the execution pipeline
  • Understand the concepts of machine learning including mathematical aspects.
  • Implement deep learning algorithms in TensorFlow and interpret results.
  • Understand neural networks to analyze and utilize data
  • Comprehend theoretical and practical Machine Learning aspects.
  • Understand implementing AI techniques for problem-solving and explaining its limitations.
  • AI has become the cutting-edge technology in today's technological world with more and more companies adopting it every single day.
  • Mindmajix AI training helps you get on the AI bandwagon and apply for the highest paid and best suitable jobs in the market.
  • The average salary of an experienced AI professional is $246,500 per year- Neuvoo.com

This training is the perfect choice for:

  • Professionals in analytics
  • Data Science Professionals
  • E-commerce Professionals
  • Search Engine Professionals
  • Software professionals who wish to switch career to AI

Anyone regardless of their prior skills can take this training.

The following are the essential skills that users will gain upon completion of this training:

  • Fundamentals of Artificial Intelligence
  • Building neural networks in AI
  • Understanding Machine learning & Deep learning
  • Backpropagation in neural networks
  • Numerical TensorFlow Computation
  • Deep learning training models
  • Working with recommender systems in AI.

Artificial Intelligence (AI) Certification

Our Artificial Intelligence (AI) course covers all the topics that are required to clear Artificial Intelligence (AI) certification. Trainer will share Artificial Intelligence (AI) certification guide, Artificial Intelligence (AI) certification sample questions, Artificial Intelligence (AI) certification practice questions.

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Artificial Intelligence (AI) Certification Training Course - FAQ's

Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.

The trainer is a certified consultant and has significant amount of experience in working with the technology.

Yes, we accept payments in two installments.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

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