Are you a business owner or leader feeling overwhelmed by AI?
Worried that your business might be left behind?
Or maybe your might be simply curious about how AI could help you?
This beginner's course Generative AI for business will help you navigate the world of Generative AI and its transformative potential on modern businesses.
Understanding Generative AI for Business Success
In recent years, generative AI technologies like ChatGPT have revolutionised the business landscape.
This beginner's course AI for business explores how companies can leverage artificial intelligence to:
Reduce operational costs
Enhance service delivery
Create innovative production capabilities
What is Generative AI: A Beginner's Perspective
This beginner's course starts with a brief history of artificial intelligence, tracing its evolution to today's human-like capabilities.
You'll learn:
The basic concepts of generative AI models
The economic ecosystems surrounding AI technologies
Practical Applications: AI in Business for Beginners
Discover how various industries are implementing AI solutions:
Explore real-world use cases across sectors
Understand AI's disruptive potential
Learn how AI complements human skills and existing technologies
Ethical Considerations: A Crucial Aspect of AI in Business
As a beginner in AI for business, it's essential to grasp the ethical implications:
Identify potential regulatory risks
Explore institutional approaches to ethical AI use
Prepare your company for responsible AI adoption
Mastering AI in Business: Key Takeaways for Beginners
By the end of this course you'll be able to:
Recognise different types of AI models
Understand the economic implications of AI adoption
Reflect on AI applications in various industries
Address ethical and legal concerns related to AI usage
Who is this course for?
This course could be valuable for:
Corporate executives and senior leaders
Entrepreneurs and startup founders
Innovation and technology managers
Marketing professionals
Who am I?
I have a multi-disciplinary background with experience as an AI Researcher, Data Scientist and AI Consultant, as well as being a writer an educator on Substack.
I have years of experience working in the tech industry as well as academic research in AI.
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Course Content
4 Sections - 33 Lectures - 5 hours Length
Section 1 - Foundations of Generative AI
In this lecture I give an overview of the whole course, where you will discover how integrate AI into your business operations while navigating the complex legal and regulatory landscape.
1.2 Three Key Factors of AI History
Here we look a the three critical factors that were missing in the early days of artificial intelligence and how they've fuelled the recent AI revolution.
We discuss how understanding the 3 vital historical elements of AI we covered, will empower you to anticipate its effects on your business both now and in the future.
In this lecture we define some basic terms used in AI including, AI, Generative AI, Prompts, Prompt engineering & AI Hallucinations.
Here we will look at the key major AI industry players and service providers such as OpenAI. We will also look at the essential considerations for selecting the right AI service provider to meet your business needs.
In this lecture we will master the art of selecting the ideal AI system for your business using key criteria to understand capabilities, trade-offs, and more.
Discover the vital generative AI literacies businesses need to master for successful AI implementation and employee adaptation.
Section 2 - Generative AI's Impact on Business
In section 2 of the course we discover how generative AI is reshaping business processes and unlocking new opportunities as we delve into AI augmentation, cost reduction, business discovery models, and more.
2.2 Economic Models for AI Business Planning
Uncover how economic models can help you understand the potential business impact of AI and shape your AI strategy.
We explore the cost reduction model as a key way to understand the potential business and market impact of using Generative AI.
This model helps you understand how generative AI is reshaping innovation and business by empowering your team to discover new business opportunities.
2.5 Business Strategy for Generative AI
Generative AI's competitive advantage demands businesses to adapt swiftly, leveraging its evolving capabilities while maintaining human oversight to drive innovation.
2.6 How Businesses are Adapting to Generative AI
In this lecture, I look into how businesses are adapting to generative AI, exploring the transformation of business models and operations.
2.7 Adapting the Human Workforce
Exploring the concept of an AI-augmented workforce, we look into the implications and opportunities AI integration brings to businesses and employees.
Section 3 - Generative AI Applications Across Industry
In this section we will look at how Generative AI is being applied in 6 different industries and discover the nuances and differences in the challenges and business value gained.
3.2 Sector-Specific Generative AI Implications
We explore how this technology may reshape traditional business processes, particularly in areas such as customer service outsourcing, potentially altering international business dynamics.
The convergence of gaming and generative AI technologies shows great potential & promises to reshape human-AI interactions and drive innovation in the gaming industry, with companies like Meta at the forefront of these developments.
Here we explore generative AI's impact on marketing and offer insights into how professionals can adapt to and leverage this technology to maintain competitiveness.
Amidst copyright and IP debates, this lecture looks into the intricate relationship between generative AI and human creativity, exploring potential synergies and the future landscape of creative industries.
Discover how generative AI is poised to transform enterprise reporting and decision-making processes, offering insights into the future of enterprise-level business value and operational efficiency.
We explore how AI is poised to transform the growing issue of regulatory compliance, offering scalable solutions to navigate the complex and ever-changing landscape of global business regulations.
Generative AI is transforming the software development landscape, offering developers new tools to streamline processes and tackle more complex challenges, potentially revolutionising the industry's approach to innovation and efficiency.
The convergence between generative AI and Web3 technologies shows significant potential for reshaping of our online experiences and the creation of a more equitable use of data and AI.
Section 4 - Challenges in Adopting Generative AI
We preview whats coming in the final section which offers a thorough examination of AI implementation challenges, governance frameworks, and ethical considerations, preparing business leaders to navigate the complex future of AI in the corporate landscape.
4.2 Implementing Generative AI
Discover the essential elements of a comprehensive AI strategy that balances business objectives with ethical considerations, paving the way for effective implementation and sustainable growth.
We consider the ethical challenges in generative AI deployment and offer insights into balancing innovation with crucial safeguards.
This lecture covers the challenging area of AI explainability, and how the experimental approach to AI reliability assessment could be a viable solution.
We look at AI safety measures and provide a overall view of the intricate balance between safeguarding against potential harm and preserving innovation in generative AI applications.
We cover key strategies for navigating the complex legal terrain of generative AI implementation, ensuring businesses can harness its potential while mitigating associated risks.
This lecture looks at ethical AI frameworks from industry leaders which offers businesses a roadmap for responsible AI implementation, balancing innovation with risk mitigation.
In this lecture we review the legal complexities surrounding generative AI and intellectual property rights, and offer businesses crucial guidance for risk mitigation and informed implementation of this transformative technology.
We review key points of the balance between the transformative potential of generative AI and its associated risks, offering insights into how businesses can navigate this technological shift with strategic caution and innovative thinking.
4.10 Course Summary & Conclusion
This course conclusion summarises all the key learnings of this course for generative AI in business, inviting students to engage in ongoing learning, discussions and practical applications of the technology.
Course 4 - Generative AI For Business