Learn Fundamentals, Basic and Advance Artificial Intelligence with practice exercises on Tools.
We aim to develop and train a workforce in the domain of Artificial Intelligence by the year 2025 and onwards. A series of courses in the area of Artificial Intelligence (AI) with practical applications is launched to train the personnel wishing to join the AI industry.
Fundamentals of Artificial Intelligence
What is Artificial Intelligence? History and Definitions of Artificial Intelligence, Its applications, Machine Learning, its types and applications, Hands-on Activity, Big Ideas & Important Concerns Related to AI/ML, Open Questions in AI/ML
Basics of Artificial Intelligence
Intro to Basic Artificial Intelligence (AI) »What is AI? » AI Roadmap for 2024 »Types of AI »Top Ten AI applications »Future of AI »What is Machine Learning (ML)? »Types of ML »Linear Regression Analysis »Classification in ML »Top 10 AI Tools »Top 10 AI Robots »Top 10 AI Project Ideas »Career Opportunities in AI
Mathematics/Algorithms for Artificial Intelligence
Algebra» Linear Algebra» Calculus» Statistics & Probability» Information Theory» Application in Algorithms» Math is Fun
Stages of Artificial Intelligence
Rule Based » Context Awareness & Retention Systems » Domain Specific Mastery Systems » Thinking and Reasoning AI Systems » Artificial General Intelligence » Artificial Super Intelligence »
Learning would take students from the beginner level to the advanced with the know-how of emerging research trends and make them ready to enter in industry or academia as per choice.
Theoretical overview plus hands-on tools and beginner-level Python language and open-source cloud platforms experience.
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Module 1: Fundamentals of Artificial Intelligence
Module 2: Basics of Artificial Intelligence for All
Module 3: Mathematics/Algorithms for Artificial Intelligence
Module 4: Advanced Artificial Intelligence
This course is chosen by students and professionals who want to upgrade their skills in Artificial Intelligence (AI) and synchronize with the emerging technology to be prepared for next generation computing paradigms.
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