2024's top 30 technologies to learn are listed below:
- Artificial Intelligence (AI) and Machine Learning (ML): AI adoption has more than doubled in the past five years, and is rapidly changing the landscape of work.
- Multicloud: 65% of all organizations operate within multicloud environments.- Cybersecurity: a gigantic skills gap in 2022, with tech leaders and technologists stating their number one skills gap was cybersecurity.
- Python: Python is the #1 digital skill critical for most companies, regardless of size or status.
- Kubernetes: According to Gartner, K8s is another one of the "skills critical for most companies" this year.
- Java: Java is valuable for powering large web applications with the Spring framework, big data pipelines with Kafka, and mobile applications running on Android.
- Linux: Because it is the foundation of many development environments and is inherently very powerful, Linux continues to be a valuable expertise for modern tech professionals.
- Docker: Docker feeds right into DevOps and CI/CD pipelines to help make software development truly iterative.
- Powershell: In short, Powershell is an open-source, cross-platform task automation tool that greatly reduces the amount of time that IT teams must spend on it.
- Terraform: Terraform allows you to manage infrastructure across multiple cloud providers like AWS, Azure, and GCP.
- DevOps: DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to improve the speed, quality, and reliability of software releases and deployments.
- Cloud Architecture: Cloud architecture is the design and structure of cloud computing systems.
- Data Science: Data science is the extraction of insights and knowledge from data using various techniques, including machine learning and statistics.
- Internet of Things (IoT): IoT refers to the network of physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity.
- Blockchain: Blockchain is a decentralized, digital ledger that records transactions and data across multiple computers within a network.
- Virtual Reality (VR): VR is an environment that is computer-simulated and can be experienced and interacted with in a way that makes it feel real or tangible.
- Augmented Reality (AR): AR is a technology that superimposes digital information and images onto the real world.
- 5G: 5G is the fifth generation of wireless network technology, providing faster data speeds and lower latency.
- Quantum Computing: Quantum computing is a type of computing that uses the principles of quantum mechanics to perform calculations and operations on data.
- Robotics: Robotics is the branch of engineering and computer science that deals with the design, construction, operation, and use of robots.
- Natural Language Processing (NLP): NLP is a subfield of artificial intelligence that deals with the interaction between computers and humans in natural language.
- Computer Vision: The goal of computer vision research is to make it possible for computers to analyse and comprehend visual data from their environment.
- Database Administration: Database administration is the process of designing, implementing, and maintaining databases to store and manage data.
- Network Security: Network security is the practice of protecting computer networks from unauthorized access, use, disclosure, disruption, modification, or destruction.
- Software Development: Software development is the process of designing, creating, testing, and maintaining software systems.
- IT Project Management: IT project management is the process of planning, organizing, and controlling the execution of IT projects.
- Cloud Security: Preventing unauthorised use, access, disclosure, disruption, alteration, or destruction of cloud computing environments is known as cloud security.
- Data Analytics: Data analytics is the process of examining data sets to draw conclusions about the information they contain.
- Machine Learning Engineering: Machine learning engineering is the process of designing, building, and deploying machine learning models.
- Cybersecurity Management: Cybersecurity management is the process of overseeing and implementing cybersecurity measures to protect organizations from cyber threats.
- DevSecOps: DevSecOps is a set of practices that combines software development (Dev) and security (Sec) to improve the speed, quality, and reliability of software releases and deployments.
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