Introduction to Generative AI for Business Professionals
- Description
- Curriculum
- FAQ
- Reviews
Learn how generative AI is revolutionizing business and professional practice in this course. Anyone looking to learn more about generative AI in business and employment prospects should take this course. A wide range of people, including managers, executives, IT specialists, and content producers, will profit from it.
You will investigate the effects of generative AI on already-existing companies as well as potential new ventures. You’ll discover how to get a company set up for the use of generative AI. You’ll be able to pinpoint generative AI’s effects on different businesses.
You will also learn about future career paths in generative AI and how generative AI might improve your chances of landing a good job. You will discover how the current responsibilities, abilities, and functions may be improved and affected by generative AI.
You will be able to:
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Explain the potential impact of generative AI on the business and industry landscape.
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Identify key indicators of readiness for integrating generative AI into business.
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Identify the career opportunities emerging in the field of generative AI
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Analyze how generative AI can enhance existing careers in diverse fields.
Course Content
This course is divided into three modules.
Generative AI in Business: Trends, Ideas, and Implementation
Generative AI: Impact and Opportunities for Career
Course Quiz, Project, and Wrap-up
It is advised that you finish one module per week or at your own speed, which can be as little as a few hours each day or as much as finishing the course in one sitting over the weekend.
The course is all about providing a foundational understanding of Generative AI, covering its applications, benefits, and potential for business use cases. It also includes practical guidance on how business professionals can leverage Generative AI in areas like content generation, customer engagement, and decision support, with an emphasis on real-world examples and case studies.
Thing to Consider First!
To make sure this course fits your expectations, it is crucial that you comprehend its goals and scope before enrolling in it.
This course is designed with a specific audience in mind: Generative AI for Business Professionals, who want to understand AI, and what to do with so-called AI “trend”, and explore its potential in business.
Here’s what you can expect from this course:
1. Board Overview: This course provides a broad overview of Artificial Intelligence with an emphasis on Generative AI. It is NOT intended to delve deeply into technical details. It is unrelated to ChatGPT guidance or Google Bard. BUT! Instead, it gives a clear understanding of the WHY of using AI in a business context. It is about the relationship between AI and leadership. It provides you with the resources you need to initiate AI-related conversations and projects inside your team or business.
2. Overviews of Tools and Chatbots: I do provide an explanation of chatbots and a breakdown of the most popular Generative AI applications (those that boost productivity). This might help you understand how they could be used.
3. No Prescriptive Solutions: Please be advised that precise solutions catered to YOUR specific set of business requirements will not be provided by this course. Instead, the focus is on the WHY, WHAT, and while aspects to take into account while thinking about AI.
4. Business-Centric Approach: This course, which is intended for enterprises, focuses on the advantages of AI for businesses. It forces you to think strategically and make decisions that support your specific company goals.
Don’t miss out on the opportunities presented by the Generative AI revolution.
Join Now!
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1
Why Learn Generative AI for Me?The lecture highlights the growing importance of Generative AI skills across all professions, emphasizing the need for understanding the technology and its ethical use. It discusses how businesses are seeking to integrate generative AI into their operations and how this course aims to equip learners with the necessary skills for the future job market.
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2
Course Introduction
A course on Generative AI, discussing its impact on businesses and professionals. It covers topics such as leveraging generative AI in the work landscape, career opportunities, benefits for businesses, industries benefiting from generative AI, and incorporating the technology effectively. The course is designed for beginners and aims to explore the transformative impact of generative AI on various industries and career paths.
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3
Capabilities of Generative AI
The lecture discusses various capabilities of generative AI, including text generation, image generation, audio generation, video generation, code generation, data generation and augmentation, and the creation of virtual worlds. It explains how generative models can create realistic content, images, voices, videos, code snippets, and synthetic data, along with immersive virtual environments and digital personalities.
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4
Deep Learning and Large Language Models(ChatGPT)
The lesson explains the core concepts of generative AI, deep learning, and large language models(LLMs). It covers how deep learning occurs with artificial neural networks, supervised and unsupervised learning, different types of deep learning architectures like CNNs, RNNs, and transformer models. It also discusses large language models like GPT 3 and GPT 4, their applications in natural language processing, and how organizations leverage them for various tasks.
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What is LLM & how LLMs are trained? -
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Generative AI Models
The lecture introduces four core generative AI models: Variational Autoencoders, Generative Adversarial Networks, Transformer based models, and Diffusion models. It explains their functionalities, training processes, applications, and importance in the world of generative AI.
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7
Foundation Models
The session discusses the concept of Foundation Models in AI, defining their characteristics, capabilities, and examples. It explores how foundation models are pre-trained on vast amounts of data, enabling them to perform a wide range of tasks across multiple domains. The script also highlights the evolution and applications of foundation models, emphasizing their role in making AI more accessible and efficient for businesses and individuals.
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8
Generative AI Trends and Impacts
Discusses the current and emerging trends in generative AI, its impact on businesses and individual careers, and how it is evolving as a crucial aspect of business opportunities. It explores the advancements in generative AI models, their applications in various domains, the benefits for businesses, and the new employment prospects arising from increased adoption of generative AI technology.
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9
Elevating Businesses Through Generative AI
Discusses how businesses can responsibly adopt generative AI to positively impact profitability, work culture, and society. It emphasizes the importance of considering feasibility, prioritization, talent acquisition, risk management, and alignment when integrating generative AI into business workflows.
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10
An Ecosystem of Generative AI Providers
The ecosystem of generative AI providers, highlighting the emergence of generative AI startups, services available to businesses, collaborative efforts among service providers, and the increasing adoption of generative AI by organizations. It discusses the preference of businesses to buy rather than build generative AI models, the role of multinational corporations, startups, and consulting firms in offering generative AI solutions. The script also underscores the collaborative initiatives between various service providers to enhance generative AI capabilities and drive innovation in different industries.
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11
Impact of Generative AI on Different Industries
Discusses the current and emerging trends in generative AI, its impact on diverse professionals and businesses, as well as its applications in various industries such as high tech, manufacturing, finance, retail, and healthcare.
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12
Career Opportunities in Generative AI
Explain an overview of career opportunities in Generative AI, discussing tasks, skills, professional roles, and introducing individuals in key roles such as machine learning engineer, natural language processing engineer, prompt engineer, data scientist, computer vision engineer, AI research scientist, and AI ethicist.
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13
Enhancing Your Career with Generative AI
Discusses how professionals can benefit from using Generative AI, the specific capabilities and risks associated with Generative AI, steps to integrate it into work, and examples of how different professionals like filmmakers, artists, lawyers, marketers, architects, journalists, and financial analysts can use Generative AI tools in their daily tasks. It also emphasizes the importance of being cautious due to algorithmic biases and copyright concerns while suggesting steps to begin using Generative AI in career development.
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14
Generative AI for Content Creators
The lecture discusses the impact of Generative AI on content creation across various domains such as human resources, marketing, learning and design, and entertainment. It highlights the benefits of using AI tools, provides statistics on their popularity, and explores different applications in different fields. Moreover, it emphasizes the importance of professionals mastering prompt engineering and leveraging AI tools to enhance creativity and efficiency in content creation.
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15
Generative AI for IT Professionals
The lesson explores how professionals in software development, IT, data science, and DevOps can utilize generative AI tools to automate tasks, improve efficiency, and address challenges in their respective fields, ultimately enhancing productivity and decision-making while considering associated risks.
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16
Generative AI for Leaders and Managers
The script discusses how leaders and managers can leverage generative AI to improve decision-making processes, address challenges, and automate tasks. It covers the benefits of using generative AI in stimulating scenarios, visualizing outcomes, and controlling project progress, emphasizing the need for collaboration, prioritization, data verification, and responsible integration into workplace workflows.
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17
Demo: Creating Custom GPTs
The lesson provides a detailed walkthrough of creating custom GPT models with OpenAI, including demos on building an interview assistant and an art-to-STL file generator. It explains the process step-by-step, from using the GPT builder to configuring specific features like generating art and running Python code. The lesson highlights the ease and speed of creating these custom GPTs without the need for extensive coding knowledge.
