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The Ultimate AI Skills Every Developer Needs in 2024

 Introduction

The global artificial intelligence market size was valued at $150.2 billion in 2023 and It is expected to multiply in the upcoming years backed up by rising investments in artificial intelligence (AI) technology. 

 

The size of the global market for artificial intelligence is expected to increase between 2023 and 2030 at a compound annual growth rate (CAGR) of 37.3%. It’s expected to increase to $1,811.8 billion by 2030. AI is expected to contribute $15.7 trillion to the global economy by 2030. 

 

AI and big data are at the top of the priority list for many tech organisations. According to a report by IBM 34% of companies are using AI and 42% are exploring AI. Automated debugging programs are the most common AI tool used by tech companies. 

 

The above stats prove that Artificial intelligence (AI) is rapidly changing the world of technology and will not stop anytime soon. As AI is getting more advanced every single day, it’s becoming important for developers to have a strong understanding of AI and its capabilities. 

 

Working professionals in all fields not just in tech must know about AI. The range of AI tools available for developers in tech is increasing significantly in the market. To stay up in the field the developers must figure out which AI tools and technology will fit best for their specific role.

 

In this article, we’ll explore the ultimate AI skills that every developer will need in 2024 to stay ahead and succeed in the rapidly evolving world of technology. 

Table of Contents

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What is Artificial Intelligence?

Artificial intelligence makes it possible for computers and other devices to replicate human intelligence and problem-solving skills.AI has the capability of carrying out tasks that usually require human intelligence or help, on its own or partnering with other technologies (such as sensors, geolocation, and robotics). 

 

Examples of AI in the news and our daily lives are digital assistants, chatbots, GPS navigation, driverless cars, and generative AI tools like Open AI’s Chat GPT and Google’s Bard.

Why are AI Skills essential for developers?

AI is a crucial aspect of modern technology. As it develops, AI is incorporated into more and more sectors of the market, including Financial, Healthcare, Transportation, Education, Marketing, Agriculture, and many more.

 

Developers with AI skills have an extra competitive edge in the job market. To get a better opportunity the developers in 2024 must learn AI skills. AI is transforming businesses and companies require developers who can implement AI techniques and solutions to promote creativity and solve challenging issues. By learning AI Skills developers can see a pay increase and stay ahead in this ever-changing digital world.

What every dev should know about AI in 2024

In 2024, the developers must focus on mastering AI skills to stay updated and ahead of the market. Some of the essential AI skills for developers include:

LLMs:

Large language models are the types of AI models that can process and generate human-like text and they also power AI applications like Chat-GPT, Google Bard and Liner. The Chat-GPT uses GPT-4 and Google Gemini LLM for the bard. 

 

Every developer must understand how to use LLM and natural language processing tasks like text generation, sentiment analysis, and content recommendation.

 

Some basic questions to know about any given LLM:

 

  • How the LLM is optimised? 
  • What are the types of LLM?
  • How does LLM work?
  • What types of Safety and privacy measures are taken?

LangChain:

LangChain is a cutting-edge technology that combines blockchain and AI to create secure and transparent LLMs. It is a framework for developing applications that are powered by LLM. Developers should learn, understand and make themselves familiar with LangChain to build decentralized AI applications and ensure data privacy. 

 

The Langchain framework exists in several parts:

 

  • Langserve: LangServe makes deploying and maintaining your application simple.
  • Langsmith: LangSmith is a platform for building production-grade LLM applications monitoring and debugging them. 

 

By using the LangChain framework developers can create AI Applications like Chat-GPT and more. The Python and Javascript Libraries contain the basic core and functionality of the framework. 

 

With the help of langChain, Developers can incorporate fully functional Gen AI systems and even existing LLMs into unique apps. 

Machine Learning & Data Science Basics:

Developers should have a solid knowledge of machine learning and data science concepts to work effectively with AI algorithms and models. Understanding topics like supervised learning, unsupervised learning, and neural networks is important for incorporating AI techniques. 

When it comes to machine learning there are some topics every developer should know: 

  • Machine learning algorithms influence three categories of machine learning as follows:

 

    • Supervised learning: In this type of machine learning, machines train to identify patterns and predict results using labelled datasets.

 

    • Unsupervised learning: It is a type of machine learning that learns from Data and statistics without human supervision.


    • Reinforcement learning: Reinforcement learning is the science of decision-making. It is about learning the optimal behaviour in an environment to obtain the maximum reward and punishing undesired ones.


The basic principles of data science are often easier to understand than those of artificial intelligence. When it comes to Data Science there are some concepts every developer should know :

 

  • Statistics and probability: Learn the basic mathematical concepts to calculate the behind theory of testing and data distribution.


  • Data visualization: Prepare yourself to utilise or refer to libraries and data visualisation tools such as Matplotlib, Seaborn, and Bokeh.

  • Data preprocessing: It is a process of converting raw data into a usable and understandable format.

Artificial Intelligence for Front-End Developers

AI for front-end developers can be used in various ways.  AI is helping front-end developers to be more productive and efficient. For example, AI can be used to generate code, test code, and optimize code.

AI helps front-end developers in the following ways:

  • Code generation: It could be possible to use AI to produce code in response to a prompt. For example, AI could generate the necessary code if a developer gave AI a description of the desired functionality.
  • Code optimisation: A developer can optimise code using AI, which will help the developer avoid unnecessary bugs and issues.
  • Creating Test Cases: AI can generate test cases according to the tailored needs of the developer if given the proper prompt.
  • Generating reports:  AI can generate software development project reports and summaries, like progress reports and release notes.

Artificial Intelligence for Back-End Developers

AI is increasingly involved in backend development tasks. It can assist in automating code generation, optimizing algorithms, debugging, and even in security protocols. Machine learning models can learn patterns from existing codebases to suggest improvements or generate code snippets. 


  • Documentation creation: AI can be used to generate API documentation and user manuals for software applications.

  • Code debugging: AI can help backend developers debug and solve errors as well as solve any issue while creating API.

 

Is Learning Artificial Intelligence Worth in 2024?

Developers must invest in AI capabilities and techniques as AI continues to drive innovation across various industries. AI skills are undeniably worth it for developers, knowing AI skills allows developers to work on innovative projects, opens the door to exciting career opportunities, and provides them a the skills and tools to succeed in the digital age.

 

For example: 

 

OpenAI: 

OpenAI has trained a natural language processing (NLP) model called ChatGPT to generate human-like text when given an instruction. People can use it for many other tasks, including software development.

 

At Codesis Technologies we support and help developers to learn AI skills and make themselves equipped with all the latest skills to stay ahead in the market. 

 

Mastering AI skills is essential for developers who want to be competitive in the market of 2024. By focusing on areas like Large Language models (LLM), LangChain, machine learning and data science basics developers can position themselves for success in this constantly changing tech world. Learning AI skills will improve their chances for a successful and better job as well as provide them with the ability to drive innovation and leave a meaningful impact on the tech world 

Start your AI journey today and unlock the world of opportunities for you.

 

Get in touch with us at [email protected]

 

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