AI & ML Online Training

  AI & ML Online training

Master the intricacies of Artificial Intelligence and Machine Learning through our online training course. Gain practical skills with a focus on problem-solving, algorithms, and real-world applications to earn a prestigious AI & ML certification.

Introduction to AI & ML Online Training

About AI & ML Course Training

The AI & ML course offered by VYTCDC is designed to equip participants with a comprehensive understanding of Artificial Intelligence (AI) and Machine Learning (ML). The program aims to enhance problem-solving capabilities, integrate knowledge representation, support strategic planning, enable ongoing learning, and foster social intelligence.

Objectives

  • Enhance problem-solving capabilities
  • Integrate knowledge representation
  • Support strategic planning
  • Enable ongoing learning
  • Foster social intelligence
  • Machine learning provides insights into patterns
  • Machine Learning facilitates the innovation of new products

Pre-Requisites

  • Knowledge of mathematical concepts, including probability, algebra, statistics, matrices, and calculus.Competence in programming languages such as Python, R, Java, C++, etc.

Certification

  • Upon completion, you will receive an accredited certificate from VYTCDC on AI and ML.

What you’ll learn from AI & ML Course

  • Identify problems suitable for the application of artificial intelligence techniques.
  • Implement fundamental AI techniques.
  • Contribute to the design of systems that exhibit intelligent behavior and can learn from experience.
  • Acquire a foundational understanding of learning problems, including hypothesis generation and version space exploration.
  • Grasp the essential features of machine learning for practical application in real-world problems.
  • Categorize machine learning algorithms into supervised and unsupervised learning categories and proficiently utilize and analyze a variety of algorithms within each category.
  • Comprehend the principles of Bayesian analysis derived from probability models and methodologies.

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