2024's top 30 technologies to learn are listed below:

1. - 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.

2. - 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.

3. - Python: Python is the #1 digital skill critical for most companies, regardless of size or status.

4. - Kubernetes: According to Gartner, K8s is another one of the "skills critical for most companies" this year.

5. - Java: Java is valuable for powering large web applications with the Spring framework, big data pipelines with Kafka, and mobile applications running on Android.

6. - 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.

7. - Docker: Docker feeds right into DevOps and CI/CD pipelines to help make software development truly iterative.

8. - 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.

9. - Terraform: Terraform allows you to manage infrastructure across multiple cloud providers like AWS, Azure, and GCP.

10. - 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.

11. - Cloud Architecture: Cloud architecture is the design and structure of cloud computing systems.

12. - Data Science: Data science is the extraction of insights and knowledge from data using various techniques, including machine learning and statistics.

13. - Internet of Things (IoT): IoT refers to the network of physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity.

14. - Blockchain: Blockchain is a decentralized, digital ledger that records transactions and data across multiple computers within a network.

15. - 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.

16. - Augmented Reality (AR): AR is a technology that superimposes digital information and images onto the real world.

17. - 5G: 5G is the fifth generation of wireless network technology, providing faster data speeds and lower latency.

18. - Quantum Computing: Quantum computing is a type of computing that uses the principles of quantum mechanics to perform calculations and operations on data.

19. - Robotics: Robotics is the branch of engineering and computer science that deals with the design, construction, operation, and use of robots.

20. - Natural Language Processing (NLP): NLP is a subfield of artificial intelligence that deals with the interaction between computers and humans in natural language.

21. - Computer Vision: The goal of computer vision research is to make it possible for computers to analyse and comprehend visual data from their environment.

22. - Database Administration: Database administration is the process of designing, implementing, and maintaining databases to store and manage data.

23. - Network Security: Network security is the practice of protecting computer networks from unauthorized access, use, disclosure, disruption, modification, or destruction.

24. - Software Development: Software development is the process of designing, creating, testing, and maintaining software systems.

25. - IT Project Management: IT project management is the process of planning, organizing, and controlling the execution of IT projects.

26. - Cloud Security: Preventing unauthorised use, access, disclosure, disruption, alteration, or destruction of cloud computing environments is known as cloud security.

27. - Data Analytics: Data analytics is the process of examining data sets to draw conclusions about the information they contain.

28. - Machine Learning Engineering: Machine learning engineering is the process of designing, building, and deploying machine learning models.

29. - Cybersecurity Management: Cybersecurity management is the process of overseeing and implementing cybersecurity measures to protect organizations from cyber threats.

30. - 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.