How Non-Tech Professionals Can Learn Generative AI from Scratch

Individuals who do not have a technical background usually find artificial intelligence, or AI, intimidating because of the advanced coding, algorithms, and technical terminology associated with it.

That said, with the rise of generative AI or GenAI tools, for example, ChatGPT and Perplexity, anyone can leverage the power of AI. Given the increasing adoption of solutions based on artificial intelligence across industries, there’s no option but to consider AI upskilling for professionals. Indeed, individuals, irrespective of their background, must know how to use these tools in real-world scenarios. Only when they can showcase AI-related skills and knowledge through a certificate like the one obtained upon completing the Generative AI for Beginners Course can they remain competitive in the fast-evolving landscape.

If you’re not sure where to start, don’t worry. We’ve got you covered. In this article, we’ll provide you with a step-by-step guide on how to learn generative AI for beginners. But before that, let’s build a basic understanding of GenAI by becoming familiar with key associated terms. 

Generative AI for non-tech professionals might also seem intimidating at first because of the technical terms related to it. That said, once you become familiar with the terms and understand the meaning, using the tools will become straightforward. 

The Generative AI for Beginners Course explains these terms to learners through a structured, stepwise approach. This, in turn, enables even non-technical people to learn how to use AI tools in real-world scenarios.

• Large Language Models (LLMs): LLMs serve as the engine of Generative AI tools. Solutions like ChatGPT are trained on vast data so that they can comprehend the structure, tonality, and subject. This allows them to provide responses that are human-like and in line with the user’s expectations.
• Prompt Engineering: This refers to creating prompts that feature a proper structure. This skill is key to providing the necessary guidance to any generative AI tool for getting the best responses. Note that no knowledge of coding is necessary for prompt engineering. 
• Fine-Tuning: This is the process of training existing artificial intelligence models with the purpose of ensuring they become specialized in a domain, for example, valuation or reporting.

Let us look at the comprehensive roadmap to learn generative AI for beginners. 

• The first step in the AI learning roadmap involves learning the fundamentals. This includes learning about basic concepts like machine learning, artificial intelligence, deep learning, Generative AI functions and features, and more.
• Learn To GenAI Tools: Next, you can take any reliable ChatGPT learning course to develop a practical understanding of how to use GenAI tools. Remember, learning with the help of practical examples or through a guided project is ideal. 
• Next, individuals must learn to write effective prompts so that they get the desired output in different situations. 
• After building knowledge and gaining practical skills, make sure to use the experience at work or in your field.
• Lastly, engage in a project to strengthen your understanding of GenAI tools’ real-world applications. 

In this section, let us understand how people in the finance domain who do not have a technical background can learn to use GenAI effectively. 

The above screenshot from the Generative AI for Beginners Course by WallStreetMojo shows how one can craft an effective prompt to make ChatGPT work like a personal financial advisor. This highlights the reason why many financial institutions, like banks, are integrating ChatGPT to analyze user-related data, like risk appetite and financial goals, to offer customized financial advice. 

The example in the course video makes it clear why there’s no reason to worry for people who do not know how to approach financial planning. By using tools like ChatGPT, they can get a step-by-step financial planning guide that is aligned with their objectives within seconds. More importantly, they do not need to write a single line of code to use the tool and get their desired results.

An ideal approach to learn Generative AI for beginners, especially non-technical professionals, involves understanding all the necessary concepts and techniques step-by-step. First, explore the basics associated with AI upskilling for professionals, including key GenAI features and functions. Next, explore the core GenAI-related terminologies, for example, LLMs, fine-tuning, etc. The next steps should involve exploring practical applications of tools like ChatGPT across different industries and gaining hands-on experience via a guided project. 

Also, don’t forget to build a clear understanding regarding the ethics and future concerning GenAI. 

Sam Wilson followed this path to learn Generative AI for Beginners via our course, and he has no regrets. By enrolling in the program, Sam was able to gain practical knowledge concerning GenAI tools and obtain a certificate demonstrating his new skills. These two factors played a key role in helping him get the attention of recruiters and crack multiple interviews. 

Now that you have reached the end of this article, we hope that the above sections have made it clear that even with no technical knowledge, you can learn Generative AI for beginners and master it. So, enroll in the Generative AI for Beginners Course today and boost your career development.