Artificial Intelligence

AI Online Training

Learn Artificial Intelligence and Certification course from Certified Experts.

40 – 80 Hours Duration

100 Assignments

Instructor Led online Training

50 LMS Access

24X7 Support

100% Skill Level

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4.9 out of 1000+ Ratings
Learn Artificial Intelligence from highly experienced, certified working Consultants. This is a project-based training & will be covered with the help of real-time scenario-based projects, tasks & assignment.After the completion of this you will be get certificate for the same.

Overview

In 2016, the global Artificial Intelligence (AI) market grew to $1.4 billion, and by 2025, the global AI market is expected to expand to almost $60 billion, according to TechJury. Artificial Intelligence is transforming the personal and professional lives of people across the world.

AI refers to the development of computer systems that can perform tasks usually requiring human intelligence, such as visual perception, speech recognition, and even decision making. These technologies can be applied to a number of undertakings to benefit organizations seeking to improve outcomes and productivity. To compete in this new tech-driven economy.

What you will gain?

  • 1 to 1 Live Online Training
  • Dedicated 24 x 7 Support
  • Flexible Class Timing
  • Training Completion Certification
  • Direct Access to the Trainer
  • Lifetime Access of an LMS
  • Real-time Projects
  • Dedicated Placement Support


Pricing

Beginner Plan

Level A1

AI

Program Fees:$ 500

$ 400/-

Top Hiring Plan

Level A1

ML + AI

Program Fees:$ 600

$ 500/-

Advance Plan

Level A1

AI + ML + Data Science

Program Fees:$ 900

$ 800/-

For Discounts Call @ +91-72778 77778

Syllabus

  •  Learn AI’s current capabilities and applications—and its future potential
  •  Learn how to organize and manage successful AI application projects
  •  AI well enough to communicate effectively with technical teams and colleagues
  •  Learn how to avoid pitfalls associated with these new technologies
  •  Build your leadership credibility by obtaining a Certificate of Completion from UC Berkeley Executive Education
  •  Introduction to Data Science, Setting Up the Systems
  •  Introduction to Machine Learning
  •  Supervised Learning and Linear Regression
  •  Classification and Logistic Regression
  •  Decision Tree and Random Forest
  •  Naïve Bayes and Support Vector Machine
  •  Unsupervised Learning
  •  Natural Language Processing and Text Mining

Benefits of Online Training

  •  100% Satisfaction Ratio
  •  Dedicated Help In Global Examination
  •  Updated Syllabus & On-Demand Doubt Session
  •  Special Group & Corporate Discounts

FAQ’s

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.
The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning and planning.
Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. … Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
The basic objective of AI (also called heuristic programming, machine intelligence, or the simulation of cognitive behavior) is to enable computers to perform such intellectual tasks as decision making, problem solving, perception, understanding human communication (in any language, and translate among them),
However, machine learning remains a relatively ‘hard’ problem. There is no doubt the science of advancing machine learning algorithms through research is difficult. … Machine learning remains a hard problem when implementing existing algorithms and models to work well for your new application.
Artificial Intelligence (AI) and associated technologies will be present across many industries, within a considerable number of software packages, and part of our daily lives by 2020.
The process of training an ML model involves providing an ML algorithm (that is, the learning algorithm) with training data to learn from. The term ML model refers to the model artifact that is created by the training process. … You can use the ML model to get predictions on new data for which you do not know the target.
Artificial Intelligence is the simulation of the human process by machines (computer systems). These processes include the learning, reasoning, and self-correction. We need Artificial Intelligence (AI) because the work that we need to do is increasing day-to-day. So it’s a good idea to automate the routine work.
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

Recently Trained Students

Jessica Biel

– Infosys

My instructor had sound Knowledge and used to puts a lot of effort that made the course as simple and easy as possible. I was aiming for with the help of the SAP FICO training imparted to me by this organization.

Richard Harris

– ITC

I got my training from Gaurav sir in the financial accounting module of SAP & I would like to say that say he is one of the best trainers. He has not even trained me but also motivated me to explore more and the way he executed the project, in the end, was mind-blowing.

Job Opportunities

According to Gartner, AI is heralded to create 2.3 million jobs by the end of 2020, leading a net gain of 500,000 potentially new jobs. And in the light of COVID-19 crisis, job opportunities for AI workers are bound to see a sharp rise.

The global economic status is not the same, but AI talents can remain positive.
According to International Data Corporation (IDC), the number of AI jobs is expected to globally grow 16 percent this year.

Gartner’s report also mentions 85 percent of AI professionals believe the industry has become more diversified in recent years.

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Job Designation

  • Data Scientist
  • Computer Science & AI Research
  • Machine Learning Scientist
  • Computer Science & AI Research
  • Natural Language Processing
  • Data Analytics

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