AI/ML Diploma course (Main Page)

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AI & ML Diploma Course

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 Diploma course  

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.

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  Objectives  

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Enhance problem-solving capabilities

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Support strategic planning

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Integrate knowledge representation

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Foster social intelligence

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Machine learning provides insights into patterns

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Enable ongoing learning

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Machine Learning facilitates the innovation of new products

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  Pre-Requisites  

Knowledge of mathematical concepts, including probability, algebra, statistics, matrices, and calculus. Competence in programming languages such as Python, 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.

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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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