Navigating the Generative AI Landscape: A Catalog of Top Courses

Introduction:

Welcome to the realm of Generative AI, where machines are trained to spark creativity and produce innovative content. Whether you’re a seasoned professional or just starting, the world of Generative AI offers exciting opportunities to enhance your skills and push the boundaries of creativity. In this blog post, we’ve curated a comprehensive list of the best Generative AI courses to help you embark on a transformative learning journey.

#1.Generative AI Fundamentals

Generative AI is revolutionizing our lives.

This specialization provides a comprehensive understanding of the fundamental concepts, models, tools, and applications of generative AI to enable you to leverage the potential of generative AI toward a better workplace, career, and life.

The specialization consists of five short, self-paced courses, each requiring 3–5 hours to complete.

Understand powerful prompt engineering techniques and learn how to write effective prompts to produce desired outcomes using generative AI tools.

Learn about the building blocks and foundation models of generative AI, such as the GPT, DALL-E, and IBM Granite models. Gain an understanding of the ethical implications, considerations, and issues of generative AI.

Listen to experts share insights and tips for being successful with generative AI. Learn to leverage Generative AI to boost your career and become more productive.

Practice what you learn using hands-on labs and projects, which are suitable for everyone and can be completed using a web browser. These labs will give you an opportunity to explore the use cases of generative AI through popular tools and platforms like IBM watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face.

This specialization is for anyone passionate about discovering the power of generative AI and requires no prior technical knowledge or a background in AI. It will benefit professionals from all walks of life.

Applied Learning Project

Throughout this specialization, you will complete hands-on labs and projects to help you gain practical experience with text, image, and code generation, prompt engineering tools, foundation models, AI applications, and IBM watsonx.ai.

Some examples of the labs included are:

• Text generation using ChatGPT and Bard

• Image generation using GPT and Stable Diffusion

• Code generation in action

• Getting to know prompting tools

• Experimenting with prompts

• Different approaches in prompt engineering

• Generative AI foundation models

• Exploring IBM watsonx.ai and Hugging Face

What you’ll learn

• Explain the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models.

• Apply powerful prompt engineering techniques to write effective prompts and generate desired outcomes from AI models.

• Discuss the limitations of generative AI and explain the ethical concerns and considerations for the responsible use of generative AI.

• Recognize the ability of generative AI to enhance your career and help implement improvements at your workplace.

#2.Generative AI: Foundation Models and Platforms

This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world.

The course focuses on the core concepts and generative AI models that form the building blocks of generative AI. You will explore deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models; the building blocks of generative AI. You will become familiar with the concept of foundation models. You will also learn about the capabilities of pre-trained models and platforms for AI application development and how foundation models use them to generate text, images, and code. You will explore different generative AI platforms like IBM watsonx and Hugging Face. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through the IBM generative AI classroom and platforms like IBM watsonx. In this course, you will explore different models, such as IBM Granite, OpenAI GPT, Google flan, and Meta Llama. You will also hear from expert practitioners about the capabilities, applications, and tools of generative AI.

What you’ll learn

• Describe the fundamental concepts of generative AI and its core models

• Explain the concept of foundation models in generative AI

• Explore the capabilities of pre-trained models for AI-powered applications.

• Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face

#3.Generative AI: Future and Professional Growth

In this course, you will discover the future prospects of generative artificial intelligence (AI). You will understand how the future of generative AI is currently seen.

Further, you will explore the potential career opportunities in generative AI and how generative AI can enhance your career prospects. You will learn how generative AI can impact and enhance the existing functions, skills, and job roles in different sectors and industries. You will also discover emerging career and business opportunities in generative AI. You will practice applying generative AI to boost the applications at your workplace. In the course, you will hear from practitioners about the potential enhancements and emergence of career opportunities through generative AI. Finally, the course provides an opportunity to demonstrate your skills and understanding of generative AI through the hands-on lab and project.

This course is suitable for anyone interested in learning about the future of generative artificial intelligence (AI) and exploring the opportunities for career growth and enhancement offered by generative AI.

What you’ll learn

• Describe the current perception of the future of generative AI.

• Explore potential career opportunities in generative AI.

• Explore the potential career enhancements with generative AI.

• Apply generative AI to boost applications at work,

#4.Generative AI: Impact, Considerations, and Ethical Issues

In this course, you will explore the impact of generative artificial intelligence (AI) on society, the workforce, organizations, and the environment.

This course is suitable for anyone interested in learning about the ethical, economic, and social implications of generative AI and how generative AI can be used responsibly. It will benefit professionals, executives, policymakers, and students. In this course, you will learn about the ethical concerns of generative AI, including data privacy, biases, copyright infringement, and hallucination. You will identify the misuses related to generative AI, including deepfakes. Further, in the course, you will examine the considerations for the responsible use of generative AI.

You will explore the broader implications of generative AI on transparency, accountability, privacy, and safety. Finally, you will learn about the socioeconomic impacts of generative AI. The examples and cases included in the course help to realize the considerations for generative AI in real-life scenarios. You will hear from practitioners about the realities, limitations, and ethical considerations of generative AI.

What you’ll learn

• Describe the limitations of generative AI and the related concerns.

• Identify the ethical issues, concerns, and misuses associated with generative AI.

• Explain the considerations for the responsible use of generative AI.

• Discuss the economic and social impact of generative AI.

#5.Generative AI: Prompt Engineering Basics

This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT.

Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses.

You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust. The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.

What you’ll learn

• Explain the concept and relevance of prompt engineering in generative AI models.

• Apply best practices for creating prompts and explore examples of impactful prompts.

• Practice common prompt engineering techniques and approaches for writing effective prompts.

• Explore commonly used tools for prompt engineering to aid with prompt engineering.

Conclusion:

As you embark on your Generative AI learning journey, remember that continuous exploration and practice are key. Choose the courses that align with your interests and career goals, and don’t hesitate to experiment with your newfound knowledge. The world of Generative AI is dynamic and ever-evolving, so embrace the creative possibilities that lie ahead. Happy learning!

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