The Ultimate AI Skills Every Developer Needs in 2024

The Ultimate AI Skills Every Developer Needs in 2024 Scroll Down to Read 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 Introduction What is Artificial Intelligence? Why are AI skills essential for developers? What every dev should know about AI in 2024 LLMs:  LangChain: Machine Learning & Data Science Basics: Artificial Intelligence for Front-End Developers Artificial Intelligence for Back-End Developers Is Learning Artificial Intelligence Worth in 2024? 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… Continue reading The Ultimate AI Skills Every Developer Needs in 2024

What is the Custom Software Development Lifecycle?

What is the Custom Software Development Lifecycle? Scroll Down to Read Introduction In this rapidly digitising world, technology has a big impact on our daily lives. Everything today is digital. It’s no surprise that almost all businesses and companies, including well-established enterprises, rely on Custom software development and Custom Software Development Lifecycle to take their business to the next level and operate online. Table of Contents What is a custom software development lifecycle (CSDLC)? Why is SDLC important? Custom Software Development Life Cycle Stages Ideation and Planning Design Implementation and Development Testing and Deployment Launch and Maintenance Conclusion Custom software is developed for companies according to their specific requirements and unique needs. The development of custom software that fulfils particular needs and features of the company follows a specific cycle known as the Software Development Life Cycle (SDLC).   In this article, we dive into the process and stages of the software development lifecycle and its importance in the custom product development industry.     What is a custom software development lifecycle (CSDLC)? The custom software development lifecycle refers to the process of creating custom software and its maintenance. The software development lifecycle is a 5 stage process which plays a key role in product making and its delivery to ensure that the end product suits the requirements of the company. These stages streamline the process of product development by aligning several factors like deciding budgets, quality assurance, demands, UI UX design, deployment and launch of the product. Various companies use different types of lifecycle models like agile development, waterfall, RAD, and V-Model.  Why is SDLC important? Many IT software development companies prefer SDLC. The SDLC is Cost-effective and time-efficient which helps in product making and delivery for the IT companies. The ultimate goal of the Software development lifecycle is to minimize the risk for the product in product development and also help in future planning to meet the expected requirements.   SDLC helps in defining the structure and steps of product development and does not conclude until every step is fulfilled. The key advantages of SDLC are quality assurance, Risk management, Cost control, Time management, Customer satisfaction, Scalability and maintenance. The most important advantage of the SDLC lifecycle is that it gives us control over the process to some extent and ensures that the end software satisfies all specified requirements.   Custom Software Development LifeCycle Stages: 1. Ideation and Planning:    Every project needs a solid idea and to execute the idea successfully planning is very crucial for every project. That is the reason the first step in the software development lifecycle starts with Ideation and planning. This step not only gives us an idea about the client’s visions but also gives us the power to plan and execute them according to the tailored needs and requirements of the client.   At this step, we understand the client’s business needs and requirements. We thoroughly study and research the business of the client, analyse the business process, identify pain points, and decide the goals and targets of the business It also involves selecting the right methods to implement, analysing the available resources, identifying the challenges which may come, estimating the project’s size, and most importantly estimating its cost.   Feasible analysis:    Requirement Gathering:    At this stage, we gather all the necessary information about the client’s unique needs and requirements. It ensures that the software developers and designers get the proper idea of the client’s vision and execute the product accordingly avoiding any discrepancies.   Requirement Analysis:   After all the necessary information has been gathered in the first step, the information should be analysed in the following step by the developers.   The team members creating the software must take their time to develop ideas for the project’s functional and technical components.   Team members then analyse how achievable the requirements are to remove any unwanted thing in the plan.   2. Design   Once the project planning and ideation are done we can now start designing the product according to the client’s needs. This step involves creating wireframes and prototypes to get a better understanding and visualization of the user interface of the project and its functionality. At this stage, we improve the design and functionality of the product by taking the client’s feedback and requirements before moving to the development stage.  The software structure and its architecture depend on the Software requirements document to prepare design documents.   These are:    SDS (System Design Specification), which features a physical design. DDS (Design Document Specification) features a physical design.   These documents include most of the designs that include metadata, Data flow diagrams and many more.   3.  Implementation and Development:    The coding phase is the foundation of software development. At the point when design elements of the software development cycle are complete, the DevOps team will set up the servers and the software developers will start writing the code. The Development team will write the source code and will also integrate APIs into the application from the backend to meet the functionality and design requirements set out in SDS and DDS.   Development teams use programming languages, programming frameworks and best practices to build the core functionality of the software. Developers also need to keep in mind the demands and unique needs of the clients. Once the design has been developed and the functionality of the software has been set, the custom software product will now enter the testing phase.     4.  Testing and Deployment:   During the testing phase of the software development Lifecycle. The Tester will test the product to see whether it is working or not as intended before releasing the software. To do this the tester will write down the test cases and test scenarios and will start executing the test accordingly. From here, the tester will start validating all the requirements and make sure everything works as expected.    The testing is usually a loop. When the developers finish… Continue reading What is the Custom Software Development Lifecycle?