Artificial Intelligence and Machine Learning Professional

Artificial intelligence (AI) is the discipline that covers anything related to making machines smart. Whether it’s a robot, a refrigerator, a car, or a software application, if you are making them smart, then it’s AI. Machine Learning (ML) is a subset of AI and it refers to systems that can learn by themselves. Machine learning is the study of computer algorithms that allow computer programs to automatically improve through experience. Deep Learning (DL) is ML applied to large data sets. Most AI work now involves ML because intelligent behavior requires considerable knowledge, and learning is the easiest way to get that knowledge.

  • As per Forbes, AI and ML have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.
  • Gartner predicts the business value created by AI will reach $3.9T in 2022.
  • IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022.
  • Tractica forecasts that annual worldwide AI and Machine Learning revenue will grow from $3.2 billion in 2016 to $89.8 billion by 2025.
  • McKinsey found that 82% of enterprises adopting machine learning and AI have gained a financial return from their investments.
  • On average, AI could boost growth in economic activity by close to 20% by 2030.
  • A study by LinkedIn suggests that there are currently 1,829 open Machine Learning Engineering positions on the website. It has been trending as the dream job for engineering graduates across the globe for the year 2018.

Vidya Mentors Artificial Intelligence and Machine Learning Professional program is designed to lead the AI-driven technological revolution by upskilling yourself in cutting-edge concepts and applications of AI and ML. They have a wide line of industrial as well as social applications which include transportation, healthcare, logistics, insurance, customer service, and so on. As per Intel/IDC, 75% of Indian companies feel that the shortage of skilled professionals is slowing down their adoption of AI. It is one among the careers with the highest payroll and minimal competition as it requires in-depth research and amazing skills for problem-solving.

Curriculum Highlights

  • SQL, R, Python
  • Machine Learning and Applications
  • Neural Network Basics
  • Convolutional Neural Networks
  • Natural Language Processing (NLP)
  • Advanced Computer Vision
  • Generative adversarial networks
  • Reinforcement Learning

Key Features

  • Industry recognized trainers
  • Edge-of-your-seat online learning
  • Live sessions by experts on industry topics
  • One-on-one discussion and feedback sessions 
  • Global peer collaboration and networking
  • Real-world, case-based learning
  • Hands-on learning and Hackathons
  • Capstone Project and Live Projects
  • Job assistance, Placement drives
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