Get the Newest CompTIA A+ 2025 Course for Only $12.99

Generative AI For Everyone

Course Level: Beginner
Duration: 2 Hrs 35 Min
Total Videos: 21 On-demand Videos

Unlock the potential of Artificial Intelligence with our course "Generative AI for Everyone." Ideal for students, professionals, and AI enthusiasts, this comprehensive guide explores AI's revolutionary capabilities, offering hands-on experience with tools like ChatGPT, and insight into AI's real-world applications and ethical considerations.

Learning Objectives

01

Understand the concept, history, and applications of Generative AI in various fields.

02

Explore ethical considerations surrounding the use of Generative AI.

03

Gain knowledge about Large Language Models (LLMs) and their role in Generative AI.

04

Learn how to access, use and engineer prompts in LLMs for specific tasks.

05

Discover how to use Generative AI tools like ChatGPT for text and image generation.

06

Understand how to fine-tune LLMs for specific needs and applications.

07

Explore the real-world applications of Generative AI in software development, retail, and marketing.

08

Identify future trends, career opportunities, and popular tools in the field of Generative AI.

Course Description

Generative AI For Everyone is designed for students, professionals, and curious leaders who want practical, hands-on experience with AI power in real-world settings. By the end, you’ll confidently use generative AI to accelerate projects, improve decision-making, and explore new career paths in a rapidly evolving field.

This course walks you from the fundamentals to practical applications, with real-world exercises using accessible AI tools like ChatGPT. You’ll learn about large language models in a clear, approachable way, master prompt engineering basics, and explore how responsible AI practices shape governance, ethics, and everyday workflows. The program blends theory with project-based learning so you can see tangible results in your work or studies.

What you’ll gain includes a solid grounding in neural networks basics, text generation models, and the latest industry use cases. You’ll discover how AI tooling and workflows integrate into digital transformation initiatives, and you’ll learn to evaluate the impact of AI on your role, your team, and your organization. Topics cover history, evolution, and future potential, plus practical considerations for safe, effective use in professional settings.

Key topics and skills include prompt design and iteration, working with AI tools like ChatGPT, exploring generative AI applications across industries, and building responsible AI practices into everyday work. You’ll also gain insight into career paths in generative AI, enabling you to map a practical trajectory that aligns with your interests and goals. This includes understanding AI governance, ethics, and risk management as you explore real-world projects and scenarios.

Whether you’re seeking a concrete entry point like an intro to generative AI course or aiming to deepen your expertise with hands-on generative AI training, this program is built to help you apply concepts immediately. You’ll complete practical exercises and projects that demonstrate your growing capability to leverage LLMs fundamentals in online learning, enterprise pilots, and personal initiatives.

  • Hands-on generative AI training with practical exercises and project-based learning
  • Hands-on experience with AI tools like ChatGPT and other accessible platforms
  • Understanding large language models, text generation models, and prompt engineering basics
  • Insight into ethical considerations in AI and responsible use in professional settings
  • Clarity on AI career paths, roles, and opportunities across industries

Enroll now to start shaping your skills for a future where AI is a practical partner in your work. gain confidence in navigating AI tooling, assess real-world applications, and position yourself for growth with a solid foundation in generative AI.

Who Benefits From This Course

  • Individuals interested in the latest developments in Artificial Intelligence
  • Software developers seeking to incorporate AI into their projects
  • Marketing professionals looking for innovative tools to improve their strategies
  • Retail industry leaders aiming to leverage AI for business growth
  • Futurists and tech enthusiasts eager to understand emerging AI trends
  • Job seekers considering a career in AI and related fields
  • Educators and students in computer science and AI programs
  • Ethics scholars studying impacts of AI advancements
  • Artists interested in exploring AI as a creative tool

Frequently Asked Questions

What is Generative AI and how does it differ from traditional AI?

Generative AI refers to a category of artificial intelligence that focuses on creating new content, whether it be text, images, music, or other forms of data. Unlike traditional AI, which typically analyzes and interprets existing data to make predictions or decisions, generative AI uses algorithms to generate new outputs based on learned patterns. This distinction is crucial as it allows for creative applications in various fields, such as content creation, design, and entertainment.

Key differences include:

  • Output Type: Traditional AI often provides analytical insights or classifications, while generative AI produces novel content.
  • Algorithm Structure: Generative models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs) employ complex structures that allow for greater creativity and flexibility in output.
  • Training Data: Generative AI models are trained on vast datasets to learn the nuances of content creation, whereas traditional AI may focus on specific datasets for analysis.

This difference in function opens up new possibilities for innovation, making generative AI a powerful tool in today's digital landscape.

What are Large Language Models (LLMs) and how do they work?

Large Language Models (LLMs) are a subset of generative AI specifically designed to understand, generate, and manipulate human language. They are built using deep learning techniques and neural networks, trained on vast amounts of text data to learn the intricacies of language.

Here’s how they work:

  • Training: LLMs are trained on diverse datasets that include books, articles, and web content, enabling them to learn grammar, facts, and contextual information.
  • Tokenization: Text input is broken down into smaller units called tokens, allowing the model to process language in a more manageable way.
  • Contextual Understanding: LLMs utilize attention mechanisms to weigh the importance of different words in a sentence, understanding context and generating relevant responses.
  • Output Generation: After processing input, the model generates coherent and contextually appropriate text, which can be used for a variety of applications, from chatbots to creative writing.

Overall, LLMs represent a significant advancement in the field of natural language processing, making them integral to the development of applications that rely on human-like text generation.

What is prompt engineering and why is it important in generative AI?

Prompt engineering is the process of designing and structuring inputs (prompts) given to generative AI models to elicit desired responses or outputs. It is a critical skill in working with models like ChatGPT, as the effectiveness of these models largely depends on how well the prompts are crafted.

Here’s why prompt engineering is essential:

  • Output Quality: A well-structured prompt can significantly improve the quality and relevance of the generated content. Clear and concise prompts help the model understand the context and intention behind the request.
  • Control Over Results: By tweaking the prompt, users can guide the model toward producing specific types of content, making it a powerful tool for customization.
  • Efficiency: Proper prompt engineering can reduce the need for multiple iterations, saving time and effort in obtaining the desired output.
  • Exploration of Creativity: Creative prompts can inspire innovative and unexpected responses, showcasing the model's potential in generating unique ideas.

In summary, mastering prompt engineering not only enhances user experience but also maximizes the capabilities of generative AI, making it a vital component of AI literacy.

What ethical considerations should be kept in mind when using generative AI?

As generative AI continues to evolve, it is imperative to address the ethical considerations surrounding its use. These considerations impact not only developers and users but also society as a whole.

Key ethical concerns include:

  • Data Privacy: The training data used for generative AI often includes personal or sensitive information. Ensuring that data is collected and used ethically is paramount to maintaining privacy.
  • Bias and Fairness: AI models can inadvertently perpetuate biases present in their training data, leading to unfair or discriminatory outputs. Developers must actively work to identify and mitigate these biases.
  • Intellectual Property: The content generated by AI raises questions about ownership and copyright. Clear guidelines are needed to determine the rights of creators and model users.
  • Misuse Potential: The ability to create realistic content can lead to misinformation or malicious uses. It is essential to establish guidelines that prevent harmful applications of generative AI.

By acknowledging and addressing these ethical considerations, users and developers can foster responsible innovation in the field of generative AI, ensuring it benefits society while minimizing potential harm.

How can generative AI impact various career paths and industries?

Generative AI is poised to transform numerous career paths and industries by enhancing productivity, creativity, and innovation. Understanding its impact can help professionals align their skills with future job demands.

Key areas of impact include:

  • Content Creation: Writers, marketers, and designers can leverage generative AI tools to streamline their workflows, generate ideas, and create engaging content more efficiently.
  • Healthcare: In the medical field, generative AI can assist in drug discovery, personalized treatment plans, and even in generating patient communications.
  • Entertainment: Filmmakers, game developers, and musicians can utilize AI to create novel scripts, game scenarios, and music compositions, pushing the boundaries of creativity.
  • Education: Educators can employ generative AI for personalized learning experiences, creating tailored educational materials based on individual student needs.
  • Business Analytics: Analysts can use AI-generated insights to make data-driven decisions, enhancing strategic planning and operational efficiency.

As generative AI continues to evolve, professionals in these and other fields can expect to see new opportunities arise, making it essential to stay informed and adaptable in the face of technological advancements.

Included In This Course

Module 1 - Introduction to Generative AI

  •    1.1 What Is Generative AI
  •    1.2 - History and Evolution
  •    1.3 - Where is Generative AI Being Used
  •    1.4 - Ethical Considerations

Module 2 - Understanding the Foundations

  •    2.1 Generative AI - Recap
  •    2.2 Exploring Large Language Models (LLMs)
  •    2.3 Accessing and Using LLMs
  •    2.4 Prompt Engineering
  •    2.5 - Embeddings and Fine-Tuning

Module 3 - Generative AI Tools

  •    3.1 - Explore ChatGPT - Features & Capabilities
  •    3.2 - Text Generation with ChatGPT
  •    3.3 - Image and Art Generation with AI
  •    3.4 - Fine-Tuning LLMs for Specific Needs
  •    3.5 How to Fine-Tune a Large Language Model (LLM)

Module 4 - Generative AI in Context

  •    4.1 Generative AI Applications in Software Development
  •    4.2 Applications of Generative AI in Retail
  •    4.3 Applications of Generative AI in Marketing

Module 5 - The Future of Generative AI

  •    5.1 Trends and Innovations
  •    5.2 Careers in Generative AI_ Opportunities and Pathways
  •    5.3 Popular Generative AI Tools
  •    5.4 Course Closing_ The Future is AI-Powered
Vision What’s Possible
Join today for over 50% off