AI and Machine Learning Expertise Training

Rated 5.00 out of 5 based on 11 customer ratings


Artificial Intelligence Can Do What We Ask For

Artificial Intelligence promotes human-machine interaction in order to enable machines to accept requests, understand them, connect from one data point to another, and make judgements. Because of AI, machines will start reasoning, observing, and planning by learning from data, their main component. In other words, machines (computers) can see the world, analyze visual data, and make decisions. Self-driving cars, face recognition for detective agents, and payment portals are examples of machine vision, which is basically the ability of a computer to see and understand the environment.

Why Learn AI & ML?

Machine Learning programs teach students how to employ algorithms and statistical models in order to create computer systems that can learn for themselves. ML, in tandem with the AI technology, has great potential for promoting technological innovation. As per a report from Gartner, the positions in the AI domain have doubled in the last three years.

Job Opportunities

AI & Machine Learning has been around for many years and is extremely hot at present and the reason for this is the data that has been circulating for the last decade is more than what we saw in the past two millennia (both hard copy and electronic version). With a wide range of AI applications in various domains, most AI aspirants are in a dilemma. Here’s a list of promising AI positions at present AI professionals can assume:

• Big Data Engineer
• Business Intelligence Developer
• Data Scientist
• AI Data Analyst
• Product Manager
• AI Engineer
• Robotic Scientist

Who Is This Program For?

This program is for anyone who aspires to be an AI/ML expert. However, a candidate having strong statistical, mathematical, analytical, programming (SQL), and reporting skills will be able to pick it up soon.

What You Will Learn

To get a job in AI/ML, you need to possess AI/ML expertise. To have AI/ML expertise, you need to possess certain skills. What are the skills you will be learning in AI/ML? Some of them are given below:

• Programming languages such as Python, C#, C++, Java, Javascript, R, or Scala
• Data engineering
• Data analysis
• Machine learning algorithms and how to apply them
• Security

Why Sapphire

By studying and preparing under the tutelage of Sapphire mentors, you will become a learned AI & ML professional. The mentors are industry experts with over a decade experience in AI & ML, working in the management and senior-management positions in reputed organizations.


Learn at the convenience of your home. The online learning at Sapphire Global, powered by technology, will be interactive, more flexible, and cost-effective.

Blended learning

For convenience and effective teaching, we incorporate hybrid learning in which both the traditional classroom and online learning come together. Enjoy a rich learning experience with self-learning and real-time mentoring.

Instruction from Industry Expert Mentors

Sapphire’s mentors help you get noticed by top-notch companies looking for talented AI & ML professionals in India and overseas.

Job Assistance

• We guide you to prepare a well-crafted, thought-provoking resume.
• We help you prepare for interviews through mock interviews.
• We adopt an integrated approach through one-on-one and group mentoring.


“Is AI/ML too much for me?” This is the question most people ask, especially those who are in a dilemma in choosing from a plethora of options AI/ML has on the table. Truth be told, there aren’t any prerequisites to learn AI/ML, as these fields are pertaining to the Data Science discipline, which is a fusion of statistics, math, programming and reporting skills, after all. Nevertheless, an engineering graduate who must have got traction in these subjects can a have a vocation to be an expert in AI/ML.


• Advanced algorithms & analysis
• Machine-learning techniques
• AI and Neural networks
• Statistical modelling for Computer Science
• Computational Intelligence
• Knowledge engineering and expert systems
• Problem solving approaches and automated reasoning
• Capstone project

Training Options

Rs. 45,000

  • Live Instructor Online training by Certified & industry expert Trainers
  • 24/7 One Demand Dedicated Server for Hands on Practice.
  • Flexibility to attend the class at your convenient time.
  • Earn a Skill Certificate
  • Professional Resume Preparation end of the trading period. 
  • Plus 45 Days of flexible access e- learning.
Make me an Expert

Rs. 45,000

  • Learn at your own pace
  • Get lifetime access to high-quality and Interactive world-class on-demand video content.
  • Get Sapphire Global certificate upon course completion
  • 24×7 learner assistance and platform support.
  • Quiz for Self-evaluation.
  • 24/7 One Demand Dedicated Server for Hand on Practice.


  • Customized Learning delivery model.
  • Our training practice are perfectly blended with options for effective live instructor lead hands on training.
  • Training need analysis.
  • Our Corporate training services are easy accessibility of LMS ( learning Management System ) online or offline – anytime, anywhere, on any of your devices.
  • 24/7 learner assistance and Support


Q. No.1 To become an AI/ML professional, should I be an expert in Data Science?

Ans: AI-based models need data to operate properly and AI can be understood as a component of Data Science. So, you will have to go through Data Science journey en route to AI.

Q. No.2 I be familiar with anything in order to learn ML?

Ans: Yes. We would recommend you to possess knowledge of datasets (like data discovery), application management (like MS Excel and SQL) to have a smooth journey in ML.

Q.No.3 Should I have a coding background to learn ML?

Ans: ML does entail coding. However, most ML models consist of 2-3 lines of codes, which depend on the level of development of a model. A model developed from the initial level will involve more codes.

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