Artificial Intelligence Basics Course Overview

Artificial Intelligence Basics is an introductory course designed for individuals seeking to understand the fundamentals of AI. Throughout the course, participants will explore key concepts such as machine learning, neural networks, and natural language processing. The primary learning objectives include grasping the core principles of AI, recognizing its potential applications in various industries, and gaining insight into ethical considerations surrounding AI technologies.

By the end of the course, learners will be equipped to apply AI concepts in real-world scenarios, enabling them to leverage AI tools effectively in their professional endeavors. This foundational knowledge paves the way for more advanced studies and a career in the evolving field of Artificial Intelligence.

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USD

750^♱

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Course Fee	750
Total Fees	750 (USD)

USD

550^♱

View Fees Breakdown

Course Fee	550
Total Fees	550 (USD)

USD

^♱

View Fees Breakdown

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Live Training (Duration : 12 Hours)
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Live Training (Duration : 12 Hours)
Per Participant
Classroom Training fee on request

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Happiness Guaranteed

Can't Attend Live Online Classes? Choose Flexi- A self paced learning option

Target Audience for Artificial Intelligence Basics

Artificial Intelligence Basics is an introductory course designed to equip learners with fundamental AI concepts and skills, catering to a diverse audience seeking to enhance their technical knowledge.

Aspiring Data Scientists

Software Developers

IT Professionals

Business Analysts

Project Managers

Product Managers

Marketing Professionals

Educators and Trainers

Tech Enthusiasts

Researchers

Students in STEM fields

Entrepreneurs

Professionals transitioning to tech roles

Learning Objectives - What you will Learn in this Artificial Intelligence Basics?

Introduction:
The Artificial Intelligence Basics course provides foundational knowledge of AI concepts and techniques, equipping students with skills to understand and apply AI in various contexts.

Learning Objectives and Outcomes:

Understand the fundamental principles of artificial intelligence.

Identify different types of AI and their applications.

Explore key machine learning algorithms and their functionalities.

Analyze ethics and societal impacts of AI technologies.

Develop familiarity with natural language processing and its uses.

Gain insight into data structures and their relevance to AI.

Implement basic AI concepts through practical exercises.

Recognize future trends in AI and their implications.

Evaluate AI tools and platforms available in the industry.

Cultivate critical thinking skills related to problem-solving in AI contexts.

Artificial Intelligence Basics Course Overview

750^♱

550^♱

^♱

Fee On Request