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Artificial Intelligence Fundamentals
Course
Artificial Intelligence Fundamentals
Master AI fundamentals, from machine learning and neural networks to generative AI and LLMs. Explore real-world applications in NLP, computer vision, and robotics, and gain hands-on skills for a career in AI.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
Artificial intelligence (AI) is increasingly integrated into everyday life and business, driving innovation and transforming industries. Professionals with a solid understanding of AI concepts and applications are in high demand.
In this course, you will explore the fundamentals of AI, including machine learning, neural networks, and deep learning. You will also study generative AI models such as large language models (LLMs) and examine AI applications across natural language processing (NLP), computer vision, and robotics.
As you progress through the course, youll learn about AIs transformative impact on businesses and explore key ethical considerations and governance practices. Plus, you will gain hands-on experience applying AI across multiple use cases through labs and a practical project.
For professionals, students, and AI enthusiasts, this course provides a comprehensive introduction to artificial intelligence, its potential, and its ethical challenges, laying the foundation for a career in AI.
This course comprises four purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 13 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Apply AI techniques to build intelligent solutions.
- Train models that learn patterns and make predictions.
- Create new content and solutions using generative models.
- Develop applications that process and understand human language.
- Evaluate and apply ethical principles for responsible AI use.
Anyone looking to kickstart or pivot into an AI-driven career.
No prior knowledge is required. Who should take the AI fundamentals online course?
Course Outline
Video: Course Introduction
Reading: General Information
Reading: Learning Objectives and Syllabus
Helpful Tips for Course Completion
Grading Scheme
Reading: Module Introduction and Learning Objectives
Video: Introducing AI
Video: Artificial Intelligence vs. Augmented Intelligence
Video: Introducing Generative AI and Its Use Cases
Reading: Different types of AI
Video: The Evolution of AI: Traditional AI vs. Generative AI
Video: Artificial Intelligence - Are We There Yet?
Video: AI in Daily Life
Video: AI Chatbots and Smart Assistants
Video: What Is a Chatbot?
Lab: AI Assistant-User Conversations
Video: Applications of AI in Different Industries
Video: Generative AI Tools and Applications
Video: Ten Everyday AI and Machine Learning Use Cases
Lab: Generative AI Tools in Action
Practice Quiz: Module 1: Introduction and Applications of AI
Module Summary
Graded Quiz: Introduction and Applications of AI
Reading: Module Introduction and Learning Objectives
Video: Cognitive Computing
Video: Terminologies and Related Concepts of AI
Video: Machine Learning
Video: Machine Learning: Techniques and Training
Video: Deep Learning
Video: Neural Networks
Video: Machine Learning vs. Deep Learning
Video: Generative AI Models
Video: Large Language Models
Activity: AI Integration in Everyday Life
Video: Machine Learning vs. Deep Learning vs. Foundation Models
Video: Natural Language Processing, Speech, and Computer Vision
Video: What Is NLP (Natural Language Processing)?
Video: Self-Driving Cars
Video: AI and Cloud Computing, Edge Computing, and IoT
Practice Quiz: Module 2: AI Concepts, Terminology, and Application Domains
Module Summary
Graded Quiz: AI Concepts, Terminology, and Application Domains
Reading: Module Introduction and Learning Objectives
Video: AI Agents
Video: What Are AI Agents?
Video: Robotics and Automation
Video: Transforming Businesses Through AI
Video: The Rise of Generative AI for Business
Lab: Generative AI for Business Transformation
Video: Become a Value Creator with Generative AI
Reading: Introduction to RAG
Video: What Is Retrieval-Augmented Generation (RAG)?
Video: Adopting AI in Your Business
Video: Frameworks for AI Adoption
Reading: AI Adoption Frameworks: Amazon, OpenAI, and Facebook
Video: Transforming Your Work Through AI Tools
Video: Career Opportunities with AI
Lab: Using Generative AI for Your Work
Video: Humans vs. AI: Who Should Make the Decision?
Practice Quiz: Module 3: Business and Career Transformation Through AI
Module Summary
Graded Quiz: Business and Career Transformation Through AI
Reading: Module Introduction and Learning Objectives
Video: Ethical Considerations and Responsible Use of AI
Video: Considerations Around Generative AI
Video: Why Large Language Models Hallucinate
Video: Perspective of Key Players Around AI Ethics
Video: The Importance of AI Governance
Activity: Responsible Use of AI at Work
Video: How to implement AI Ethics
Practice Quiz: Module 4: Issues, Concerns, and Ethical Considerations
Reading: Lesson Summary
Final Project: Transforming Organizational Functions with Generative AI
Course Graded Quiz: Introduction to Artificial Intelligence (AI)
Video: Course Wrap-Up
Reading: Congratulations and Next Steps
Reading: Glossary: Introduction to Artificial Intelligence (AI)
Thanks from the Course Team
Copyrights and Trademarks
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
This AI fundamentals online course is ideal for beginners, professionals, and students who want to learn AI basics without requiring a prior programming background. Its also suited for those seeking to gain job-ready skills and an industry-recognized AI fundamentals certificate.
You can learn AI basics through engaging lessons, real-world use cases, and hands-on labs. The course introduces key AI concepts, generative AI models, and applications such as natural language processing, computer vision, and robotics. By completing projects, youll gain practical knowledge that prepares you for real-world applications.
This AI fundamentals course stands out for its strong focus on both theory and practice. It combines foundational learning with AI hands-on labs and projects, plus it provides insights into AI adoption frameworks, business transformation, and responsible AI use.
Yes. Upon completion, youll earn an IBM Certificate. This credential demonstrates your understanding of core AI concepts and your readiness to apply AI in business and technical contexts.
The AI Fundamentals course covers machine learning fundamentals, deep learning basics, neural networks, generative AI, and large language models. Youll also learn about natural language processing, computer vision, AI in robotics, and retrieval-augmented generation (RAG). Additionally, the course highlights AI ethics, governance, and responsible use.
Yes. This AI fundamentals course is designed as a no-coding AI course, making it accessible to beginners. All concepts are explained clearly, and practical labs allow learners to apply AI concepts without requiring advanced technical skills.
The Artificial Intelligence Fundamentals course helps you build a solid foundation in AI concepts, applications, and ethical considerations. While it is an introductory program, it prepares you for further learning in areas such as machine learning, deep learning, and natural language processing. Earning an IBM AI Fundamentals Certificate also demonstrates to employers your commitment to understanding AI and its business applications, making it a strong first step toward future AI career growth.
The course covers AI limitations and risks, ethical governance, and responsible AI use. Youll learn how to identify issues such as bias, hallucinations in large language models, and the importance of accountability in AI applications. These lessons prepare you to adopt AI responsibly in professional settings.
Yes. Several well-recognized AI Fundamentals certification exams are available, including Microsoft Certified: Azure AI Fundamentals (AI-900), IBM AI Fundamentals, and the AWS Certified AI Practitioner. These exams validate your understanding of AI concepts, basic machine learning, and real-world applications. They are ideal for beginners and professionals who want to demonstrate foundational AI knowledge without requiring deep coding expertise.
Type of certificate
IBM Certificate
About this course
04 Modules
05 Skills
Includes
Discussion Space
04 Hands-on labs
04 Practice quizzes
04 Graded quizzes
01 Final project
Create
Using Generative AI for Your Work
Exercises to explore
AI Assistant-User Conversations
Generative AI Tools in Action
Generative AI for Business Transformation
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