How to Learn About Generative AI

Artificial intelligence (AI) is the current buzzword in the world of technology and business, and this revolutionary technology is developing tools that are here to stay. Generative AI tools learn how to perform certain tasks from large datasets, from translating spoken language to creating unique media pieces.

These tools can feel elusive to many business owners–what is AI training? How do you become an AI specialist? This technology has streamlined and automated certain processes, cut business costs, and even sparked creative insights. 

The first step towards embracing the opportunities available with this technology is earning a generative AI certification through ONLC.

What Prerequisites Are Necessary for Learning Generative AI?

Unlike other course providers and trainers, ONLC offers a range of AI-related training for both entry-level learners and developers. However, many training providers require those seeking certification to meet a few prerequisites.

Depending on your course, you should strongly grasp probability and statistics concepts, linear algebra, calculus, and hands-on experience with programming languages. This list may seem lengthy for beginners and deter them from earning their certification.

Luckily, ONLC offers several entry-level courses that can teach you the fundamentals of AI or how to use specific AI products. This can include prompt engineering for text generation and an introduction to popular AI products. 

The Four Personas of Generative AI

Experts recommend a particular roadmap to both learning and understanding AI. Because this technology is evolving quickly and constantly, it can seem overwhelming to know where to start. 

Rather than get lost in a sea of concepts and algorithms, it’s recommended that students tackle their learning based on the different personas who interact with the technology.

User

The user phase refers to the front-end experience with AI technology. This phase encourages learners to use generative AI tools to experience AI and its capabilities. A few tools recommended for beginners are:

• ChatGPT
• BARD
• Dalle 2
• Stable Diffusion
• Midjourney

By experimenting with these tools, you can get a complete picture of what they are capable of, what features they can include, and what the user experience should feel like.

Super User

Once you have gained foundational insights into how generative AI tools work, the next step is to build on that knowledge. With generative AI tools, there can be endless potential if the proper techniques are used.

For example, many consider the ability to write unique prompts that garner accurate results as an art form in its own right. The majority of AI tools require a prompt from the user to generate its unique content. In this phase, you should focus on learning about prompt engineering.

Prompt engineering allows you to explore the most effective prompts for generative AI tools and models. You will learn techniques that help you understand the best practices for writing prompts.

Developer

In the developer stage, you learn how to fine-tune generative AI models and how they work on the backend. In this stage, you will need hands-on experience with the mathematical concepts listed above, as well as:

• Machine learning concepts
• Deep learning concepts
• Generative models for natural language processing
• Generative models for computer vision

ONLC offers a wide range of courses for generative AI education and certification, so if you spot gaps in your education, ONLC may have a course to prepare you for this stage.

Researcher

This is the fourth and final stage of understanding generative AI, and it demands a thorough understanding of machine learning concepts and programming. In this stage, you must be capable of constructing generative models on your own from scratch. 

You should be able to:

• Implement reinforcement learning from human feedback
• Build your own ChatGPT
• Build and implement your stable diffusion models from scratch
• Learn and implement attention models, positional coding, and more

To reach the researcher level of generative AI learning, you may need numerous additional courses or certifications to keep you professionally competitive in the industry.

What Courses Are Available Through ONLC?

ONLC is the leading solution for generative AI certifications, offering a range of courses from entry-level (user and super user) to developer (also encompassing researcher prerequisites). Through ONLC, you can gain hands-on experience with new and evolving technologies led by an expert instructor.

Some opportunities available include:

• Microsoft Official role-based training and certifications for developers
• Creating your chat agent or using OpenAI API
• Prompt engineering for a range of media outputs

If you’re ready to advance your knowledge of generative AI, sign up today for certifications through ONLC!