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We all know that generative ai is on the tip of everyone's tongue. Companies are looking for new ways to integrate it into the business. Some companies are studying the possibility of creating their own tools. Machine learning engineers are looking for ways to transition as fast engineers. Everyone wants a piece of the pie.
The generative ai market will continue to grow and become more popular. One of the main things that many people are looking at is how to enter the $45 billion market.
The foundation for mastering generative ai is all about rapid engineering. And as the market grows, so will the market for rapid engineers.
Rapid engineering is the best practice for designing inputs to generative ai tools that aim to produce optimal results. Companies want these optimal results, so they need the best to achieve them.
Fast engineers are in high demand and making a great career out of it: Fast ai engineers are making $300k a year
What skills does a fast engineer need?
The main hard skills that a punctual engineer needs is technical competence in:
- artificial intelligence
- Machine learning models
- Natural language processing
- GPT (Generative Pre-Trained Transformer)
Along with these hard skills, they will also need soft skills in linguistic acuity:
- Language
- Grammar
- Syntax
- Semantics
How can I become an engineer fast?
As this is a general blog post, some of you may already be in the tech space as machine learning engineers, while others are just getting started. Therefore, I will create a roadmap to help you become an agile engineer from start to finish.
Machine learning
Link: Specialization in machine learning
First of all, you will need a good understanding of machine learning. Stanford offers this course and DeepLearning.ai is specifically for people who want to get into ai by mastering the fundamental concepts of machine learning while also being able to develop practical machine learning skills through a 3-course program.
Natural language processing
Link: Specialization in Natural Language Processing (NLP)
Once you have a good basic understanding of machine learning models, you will now want to understand the beauty of the language and how it is processed in computers. Building on what you've learned in the machine learning specialization, you'll learn to master cutting-edge NLP techniques through four hands-on courses.
Generative ai and LLM
Link: Generative ai with large language models
Now is the time to combine the two. Take your knowledge of machine learning models and natural language processing and combine them to understand large language models. You'll gain foundational knowledge, practical skills, and a working understanding of how generative ai works while creating value with cutting-edge technology with guidance from AWS experts.
Generative ai and transformers
Link: Generative ai Language Modeling with Transformers
An imperative in your career to become a fast engineer is to learn about transformers. Transformers help machines understand, interpret and generate human language. In this course, you will be able to explain the concept of attention mechanisms in transformers and will also be able to describe language modeling with decoder-based GPT and encoder-based BERT. You will then move on to implement positional encoding, masking, attention mechanism, document classification, and creating LLMs like GPT and BERT.
Quick engineering
Link: ChatGPT Quick Engineering for Developers
And when you have all this knowledge under your belt, you'll want to learn engineering fast. The ultimate goal of your career transition is to understand and develop intuition around best practices for rapid engineering. There are many resources available to help you perfect it. In this case, this is where your interpersonal skills and your ability to understand language and also understand tools like ChatGPT and how they interpret language will come into play.
Engineer immediate salary
Depending on the company, location, and years of experience, your salary for any job will vary.
If you look at speed engineers in the UK and London, entry level speed engineers start between £30,000 and £40,000. As you start to gain a few more years of experience, you can expect to earn between £40,000 and £50,000. At senior levels, quick salaries for engineers range from £50,000 to £70,000.
That said, in the United States, some Prompt engineers earn $350,000 a year at some of the leading companies.
If you want to make money and are eager to pursue a career in fast engineering. Take a look at more specific skills within rapid engineering, such as multimodal rapid engineering, rapid security, and rapid test automation.
Wrapping it up
If you're thinking about rapid engineering, now is the time to execute the transition. The generative ai market will continue to grow and will need people to meet those high demands.
nisha arya is a data scientist, freelance technical writer, and KDnuggets editor and community manager. She is particularly interested in providing professional data science advice or tutorials and theory-based insights into data science. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. Nisha, a great student, seeks to expand her technological knowledge and her writing skills, while she helps mentor others.
