AI for Beginners from Udemy

Unlock the potential of AI in your business with our AI for Beginners course. Tailored for business professionals, this course helps anyone in business learn what they need to know about AI (including Generative AI), so that they can evaluate AI and have informed conversations about AI in their business. It is a AI technology "primer" that takes you through the technology of AI, but always in a business context. This course:

Gives you a Brief History of AI in Business - Understand the evolution of AI and its impact on business.
Teaches You Key Concepts and Terminology - Get familiar with essential AI concepts and jargon you’ll encounter.
Gives you an Understanding of Current AI Capabilities - Learn about the latest AI technologies and their practical applications in business.
Helps You To Evaluate AI Use Cases - Arm yourself with critical questions to determine if AI is right for your business needs.

Who This Course is For:

Business Professionals seeking a high-level overview of AI technology and use cases.
Professionals looking to integrate AI into their business strategies.
Anyone interested in understanding the core concepts and terminology of AI technologies.

What You Will Learn:

The History and Evolving State of AI: Trace the development of AI and its growing role in business.
Key Concepts and Terminology: Master the fundamental terms and ideas in AI.
AI Capabilities and Maturity: Discover current AI technologies, their readiness for business, practical use cases and limitations.
Effective Communication with Technical Teams: Learn the right questions to ask when discussing AI solutions with technical teams and partners.
Next Steps in Your AI Learning Journey: Helps you plan your next step in learning about AI

Course Structure:

This concise course is designed for flexibility, allowing you to explore specific topics based on your role and interests in business. Please note, this course does not dive deeply into specific AI tools or technologies. It is not a "ChatGPT in business" or "How to do deep learning" course, but a AI technology primer for business professionals. As with all our courses, we continuously add lessons and keep content current over time.

Learn from Experts, not Professional Course Creators:

This AI course is designed to cut through the hype and scepticism surrounding artificial intelligence and Generative AI. Learn from experienced business leaders, consultants, and executives who have over 40 years of combined experience in digital transformation and technology. Our experts have worked with large blue-chip organisations, start-ups, and SMEs across the Gain real-world knowledge to effectively leverage AI in your business.

What's inside

Learning objectives

Learn generative ai technology basics in a business context
An understanding of common ai terms that business professionals should know
Understand the key use cases for generative ai

Learn the key ai technology concepts for text, speech, image and video based gen ai
What questions to ask when evaluating ai solutions
Understand limitations of the technology

Learn generative ai technology basics in a business context
An understanding of common ai terms that business professionals should know
Understand the key use cases for generative ai
Learn the key ai technology concepts for text, speech, image and video based gen ai
What questions to ask when evaluating ai solutions
Understand limitations of the technology

Syllabus

Introduction

This lesson walks through the evolution of AI in business, starting from the 1950s through to the present day, giving business professionals a grounding in how AI has developed and covering previous AI hype cycles, thought leadership and key historic moments.

In this lesson we cover off the different terminology used in AI, different types of AI, and how they all relate to each other.

In this lesson, we explore the transformative power of Natural Language Processing (NLP) and Large Language Models (LLMs) in AI, highlighting their applications in text understanding, text generation, and more. We explore the capabilities of LLMs like GPT-4, BERT, and LLAMA. The lesson also discusses Retrieval Augmented Generation (RAG) and developing custom LLMs to meet specific business needs, emphasizing the strategic importance of adopting AI for competitive advantage.

In this lesson we'll explore the powerful graphical and image-based capabilities that AI offers. We delve into key areas such as image recognition and classification, image generation and enhancement, and image analysis. Discover how AI can identify objects and scenes, generate and improve images, and extract valuable information from visual data. You'll learn about the benefits, limitations, and practical applications across various industries, from healthcare and retail to marketing and manufacturing.

In this lesson we go through the different terminology, capabilities and use cases of AI related to Speech, including speech analysis, text to speech, speech to text and natural language processing. We cover off some of the pitfalls in this area and key vendors that you can use to develop capabilities.

In this lesson we'll explore the world of AI-powered video technology. Learn how Video AI can analyze, interpret, enhance, and generate video content, revolutionizing various industries from surveillance and security to media and entertainment. Discover key capabilities like video content analysis, facial recognition, emotion detection, and video generation. Understand their applications and limitations to harness these technologies effectively.

This lesson covers the key aspects to consider when evaluating AI capability to solve business problems. We guide you through essential questions to answer before implementing AI, applicable to any AI type. We cover critical factors such as setting measurable goals, determining the required level of AI customisation, evaluating data quality and accessibility, and assessing the maturity of AI capabilities. This lesson aims to help you navigate the complexities of AI opportunity assessment.

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Read about what's good

what should give you pause

and possible dealbreakers

Tailored for beginners, this course is appropriate for business professionals starting from scratch who want to learn about AI

Appropriate for anyone learning about AI, regardless of job title or experience

Real-world knowledge is gained to effectively leverage AI and Generative AI

Taught by three instructors with a background in digital transformation and technology

Teaches foundational terminologies and concepts in AI

Reviews summary

Ai for business professionals

According to students, this course provides a positive and comprehensive primer on AI for business professionals. Learners widely praise its ability to distill complex AI concepts into an easily digestible format, focusing on what's relevant for strategic business decisions. The instructor's real-world expertise is frequently highlighted, helping to cut through the industry hype. While it offers a strong foundation in AI terminology and capabilities, a recurring theme is that it is not a hands-on technical course or a deep dive into specific tools like ChatGPT, which some learners might initially expect. It is best suited for those seeking to have informed conversations and evaluate AI use cases, rather than build AI solutions.

Course content is regularly updated, ensuring timeliness in a fast-changing field.

"The course content is very timely and relevant for today's business landscape."

"I appreciate that they continuously add lessons and keep the content current over time, which is crucial for AI topics."

"The latest updates ensure the information provided remains highly pertinent to current AI trends."

Provides a strong foundation in essential AI terminology and ideas.

"This course gave me a strong foundation in AI terminology and concepts without getting bogged down in coding."

"I finally feel like I understand the jargon and can confidently master the fundamental terms in AI."

"It really helped solidify my understanding of the various types of AI and how they relate."

Concepts are simplified by experienced instructors.

"I appreciate how the instructors break down complex topics into easily understandable segments."

"The instructor's real-world experience shines through, helping me to cut through the industry hype."

"The explanations of AI capabilities were crystal clear, making it accessible for someone new to the field."

Ideal for professionals seeking AI understanding for strategic decisions.

"The instructor explained complex AI concepts in a very digestible way, focusing on what matters for business strategy."

"This course is a solid primer on AI for non-technical folks, always presented within a business context."

"I can now confidently discuss AI with my team and evaluate its use cases for my organization."

Some found the pace fast, or terminology challenging for absolute beginners.

"While it claims to be for beginners, I found some of the terminology still a bit overwhelming without prior tech background."

"Some parts felt a bit rushed, and while it covers the 'what,' it doesn't go into much 'how.'"

"It might be too basic for those with some prior knowledge, but perhaps too fast for absolute novices."

Lacks practical coding or deep dives into specific AI tools.

"Don't expect to build anything after this; it's truly a stepping stone, not a practical application course."

"I was hoping to learn about using ChatGPT for my marketing, but this course is too conceptual for my needs."

"It doesn't dive deeply into specific AI tools or technologies, which is important to know upfront."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI for Beginners with these activities:

Review AI Concepts

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Refresh your foundation in AI concepts to enhance your comprehension of the course materials.

Browse courses on AI

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Revisit foundational AI terminologies and principles.
Review different types of AI algorithms and their applications.

Explore NLP Tools and Applications

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Familiarize yourself with NLP tools and techniques to enhance your practical understanding of AI's language-processing capabilities.

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Follow tutorials on using popular NLP libraries.
Experiment with text classification, sentiment analysis, and other NLP tasks.

Discuss AI Use Cases and Challenges

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Engage with fellow learners to exchange insights, share experiences, and collectively deepen your understanding of AI use cases and challenges.

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Participate in online or offline discussion forums with other students.
Organize study groups to explore specific AI topics.

Five other activities

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AI Resources Compilation

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Create a comprehensive collection of AI-related resources, including articles, videos, datasets, and tools, for future reference and exploration.

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Gather and curate relevant AI resources from various sources.
Organize and categorize the resources for easy accessibility.

Practice AI Problem-Solving

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Reinforce your problem-solving skills by practicing with AI-related exercises and challenges.

Browse courses on AI Algorithms

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Solve coding challenges related to AI concepts.
Participate in AI-focused coding competitions.

Design and Evaluate an AI-Powered Solution

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Apply your understanding of AI to a real-world business scenario by designing and evaluating an AI solution.

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Identify a business problem that can be solved using AI.
Design an AI solution that addresses the identified problem.
Evaluate the performance and impact of your proposed solution.

Dive into AI Ethics

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Gain a deeper understanding of the ethical implications of AI to make informed decisions in your future endeavors.

View AI Ethics on Amazon

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Read and analyze the assigned chapters on AI ethics.
Participate in class discussions on ethical considerations.

Attend AI Industry Meetups

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Connect with professionals in the AI field, learn about industry trends, and explore potential career opportunities.

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Identify and attend local AI meetups and conferences.
Network with AI professionals and experts.

Career center

Learners who complete AI for Beginners will develop knowledge and skills that may be useful to these careers:

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AI for Beginners

What's inside

Learning objectives

Syllabus

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Ai for business professionals

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