Offered By: IBMSkillsNetwork
Artificial Intelligence Fundamentals
Learn core AI concepts and generative AI and explore ethical considerations to kickstart your AI career.
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Course
Artificial Intelligence
5.0
At a Glance
Learn core AI concepts and generative AI and explore ethical considerations to kickstart your AI career.
This Artificial Intelligence Fundamentals course teaches you the skills you need to move into various AI roles.
You Will learn:
- Job-ready skills in 3 weeks, plus you’ll get practical experience employers look for on a resume and an industry-recognized credential
- Core concepts of AI
- To apply AI applications and use cases can transform our lives and our work
- The potential and impact of AI to transform businesses and careers
- Issues, limitations, and ethical concerns surrounding AI
Course overview
Artificial intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. This course will help you understand key AI terminologies and applications and launch or transform your AI career.
This course covers core AI concepts, including machine learning, neural networks, and deep learning. You will explore Generative AI models such as large language models (LLMs) and their capabilities. The course dives into how AI applies to various domains, including natural language processing (NLP), computer vision, and robotics, uncovering how these technologies drive innovation across industries.
You will also examine AI’s transformative impact on businesses, as well as key ethical concerns and governance surrounding AI’s applications. The hands-on labs and project will provide practical experience, exploring AI’s applications across multiple use cases.
This course is suitable for professionals, students, and AI enthusiasts looking to gain foundational knowledge of AI, its potential, and its ethical challenges.
Overall, this Artificial Intelligence Fundamentals course gives you a valuable introduction to AI to kickstart your journey toward career success.
Course Syllabus
Module 0: Welcome
- Video: Course Introduction
- Reading: General Information
- Reading: Learning Objectives and Syllabus
- Helpful Tips for Course Completion
- Grading Scheme
Module 1: Introduction and Applications of AI
- 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
Module 2: AI Concepts, Terminology, and Application Domains
- 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
Module 3: Business and Career Transformation Through AI
- 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
Module 4: Issues, Concerns, and Ethical Considerations
- 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)
- Retake Exam
Course Wrap Up
- Video: Course Wrap-Up
- Reading: Congratulations and Next Steps
- Reading: Glossary: Introduction to Artificial Intelligence (AI)
- Thanks from the Course Team
- Copyrights and Trademarks
Prerequisites
This is a beginner-level course, so no prior knowledge of AI or programming is required.
Estimated Effort
13 Hours
Level
Beginner
Skills You Will Learn
AI Ethics, Artificial Intelligence, Generative AI, Machine Learning, Natural Language Processing
Language
English
Course Code
AI0101EN