Technology helps us to improve our daily lives in a variety of ways, from making our work more efficient to helping us stay connected with others. It also plays a critical role in driving innovation and progress in many fields, such as medicine and science.
I also provide subjective estimates on the growth rate (CAGR for Compound Annual Growth Rate) for each technology addressed in this post. However, be warned that this is only my subjective estimation.
On top of that, I’ll give you a quick summary and a few steps you can consider to learn each of the listed technologies. Some steps are the same for all technologies (e.g., online courses, books), while others are different — as you’ll see.
Enough of talking about the meta stuff — let’s start with the most crucial technology to learn in 2023 and beyond! 👇
#1 – Artificial Intelligence and Machine Learning
Quick Summary: The ability of computers to process and analyze large amounts of data to make predictions and decisions is becoming increasingly important in many industries. As a result, knowledge of artificial intelligence and machine learning technologies is likely to be in high demand in the coming years.
Machine learning engineers usually make way above six figures in the US!
🚀 CAGR: The projected 5-year CAGR for Artificial Intelligence is estimated to be around 44%.
How to learn AI/ML?
- Take an AI/ML course: Take an AI/ML course from a reputable online learning platform such as Coursera, edX, Udacity, or Udemy. These courses are designed to give you a solid foundation in AI/ML theories, algorithms, and applications.
- Practice coding: After completing an AI/ML course, practice coding applications with frameworks such as TensorFlow, Keras, and PyTorch. This will help you gain a better understanding of the underlying technologies and algorithms used in AI/ML.
- Experiment with datasets: Experiment with different datasets to gain a better understanding of how AI/ML models work. You can find a variety of datasets online, such as the UCI Machine Learning Repository.
- Participate in online forums: Participate in online forums like Stack Overflow, Kaggle, and Reddit to get help on specific problems, discuss ideas with other AI/ML professionals, and stay up to date on new developments in the field.
- Attend conferences: Attend AI/ML conferences to learn from experts, network with other professionals, and stay current on the latest trends.
🌍 Recommended Tutorial: TensorFlow vs PyTorch — Who’s Ahead?
#2 – Bitcoin
Quick Summary: Bitcoin is a decentralized digital currency created in 2009 by an anonymous entity known as Satoshi Nakamoto. It is a peer-to-peer digital payment system that allows users to transfer funds without the need for a central bank or another intermediary. Transactions are recorded on a public ledger, the blockchain, that is maintained by a network of computers.
One of the biggest value propositions of Bitcoin is that there will only ever be 21 million BTC, so there’s no systemic dilution of somebody’s BTC assets.
🚀 CAGR: The projected CAGR of Bitcoin is difficult to predict due to the highly volatile nature of the cryptocurrency market. However, some analysts have predicted that Bitcoin could have a CAGR of up to 15-20% over the next 5 years.
How to master Bitcoin?
- Start by reading up on Bitcoin and cryptocurrency. There are many great resources available online to get you started.
- Buy some Bitcoin and begin to familiarize yourself with how to store and transact with them.
- Join online communities and forums to ask questions and engage with people who have a similar interest in Bitcoin.
- Look for online courses or tutorials to help you understand the basics of Bitcoin and cryptocurrency.
- Attend conferences or meetups to learn more about the technology and network with other Bitcoin enthusiasts.
- Consider investing in a hardware wallet to store your Bitcoin securely.
- Keep up to date on the latest news in the space by reading industry publications and staying aware of upcoming events.
🌍 Recommended Tutorial: Bitcoin as a Treasury Reserve Asset
#3 – Ethereum Development
Quick Summary: Ethereum is a decentralized, open-source platform for smart contracts and distributed applications (dApps). It allows developers to create and deploy decentralized applications, build, and use smart contracts, and access a global network of connected nodes. Ethereum enables users to create, manage, and execute decentralized applications, as well as interact with the Ethereum blockchain.
🚀 CAGR: Ethereum is still in its early stages of development. However, the growth rate of Ethereum has been impressive over the past few years. The Compound Annual Growth Rate (CAGR) for Ethereum has been estimated to be around 50-70%.
How to learn Ethereum development?
- Read Ethereum Documentation: Start by reading the official Ethereum documentation to get a better understanding of the basic concepts of Ethereum.
- Take an Online Course: There are many courses available online that teach Ethereum development. These courses range from introductory courses to more advanced courses.
- Join a Community (e.g., Discord): Joining a community of Ethereum developers is a great way to learn. You can ask questions, get advice from experienced developers, and collaborate on projects.
- Practice on a Test Network: Before you start building real applications on the Ethereum mainnet, it’s important to get some practice on a test network. This will help you become more familiar with the development process and debugging.
- Build a dApp: Once you’ve gained some experience with Ethereum development, it’s time to build your own decentralized application (dApp). This is a great way to apply the skills you’ve learned and create something unique.
🌍 Recommended Tutorial: Ethereum – Top 10 Articles to Get Started
#4 – Cybersecurity
Quick Summary: As more and more data and systems are connected to the internet, the need to protect against cyber threats is becoming increasingly important. Knowledge of cybersecurity technologies and practices is likely to be in high demand in the coming years.
🚀 CAGR: The CAGR of cybersecurity is projected to be 11.4% from 2017 to 2023.
How to learn cyber security?
- Take an online course: There are plenty of online courses you can take to learn about cyber security. You can find a variety of courses from beginner to advanced levels. Some courses are even free.
- Read books: Books are a great way to learn about any topic, including cybersecurity. There are plenty of books available that cover the basics, as well as more advanced topics.
- Attend conferences and seminars: Attending conferences and seminars is a great way to network with experts in the field, hear new ideas, and get up to date on the latest trends.
- Get certified: Getting certified in cyber security is a great way to show employers that you are serious about the field. There are a variety of certifications available, including the Certified Ethical Hacker (CEH) and Certified Information Systems Security Professional (CISSP).
- Practice: The best way to learn cybersecurity is to practice. You can find plenty of online resources to practice various cybersecurity techniques.
🌍 Recommended Tutorial: TryHackMe — A Fun Capture the Flag Hacking Challenge
#5 – Virtual and Augmented Reality
Quick Summary: The ability to create immersive, digital environments is becoming increasingly important in a variety of fields, from gaming to healthcare. As a result, knowledge of virtual and augmented reality technologies is likely to be in high demand.
🚀 CAGR: The compound annual growth rate (CAGR) of virtual and augmented reality is projected to be around 53% between 2019 and 2026.
How to learn AR and VR?
- Take an online course: There are many online courses and tutorials available to help you learn the basics of virtual and augmented reality. Look for courses that focus on the specific technology and platform you are interested in.
- Read books and articles: There are many books and articles available that provide an overview of virtual and augmented reality. Read these to gain a better understanding of the technology and how it works.
- Experiment with existing apps and technologies: Try using existing virtual and augmented reality apps and technologies to get a better sense of how they work and what they can do.
- Join a virtual or augmented reality meetup: Find local meetup groups dedicated to virtual and augmented reality. These can be great places to network, ask questions, and learn from others.
- Attend a conference or workshop: There are many conferences and workshops dedicated to virtual and augmented reality. Attend one to get an immersive education on the technology.
Finally, just use it yourself — it’s fun and will give you many ideas on possible market gaps.
🌍 Recommended Tutorial: Augmented Reality on Wikipedia (it’s good!)
#6 – Cloud Computing
Quick Summary: The ability to store and access data and applications over the internet, rather than on local devices, is becoming increasingly important for businesses and individuals. As a result, knowledge of cloud computing technologies and platforms is likely to be in high demand.
🚀 CAGR: The Compound Annual Growth Rate (CAGR) for cloud computing is estimated to be around 17% from 2020 to 2025.
How to learn cloud computing?
- Take an Online Course: There are plenty of online courses available for those who want to learn cloud computing. Look for courses that are designed for beginners and provide an overview of the different components of cloud computing, such as storage, networking, databases, and analytics.
- Get Certified: Getting certified in cloud computing is a great way to demonstrate to potential employers that you have the skills needed to work in the field. Look for certifications from major cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
- Read Books: There are several books available that can help you learn more about cloud computing. Look for books that cover topics such as cloud architecture, security, and deployment.
- Follow Blogs and Tutorials: There are many excellent blogs and tutorials available online that can help you learn more about cloud computing. Make sure to follow the blogs of industry experts and take advantage of the tutorials available on sites like YouTube.
- Network: Finally, don’t forget to network with other professionals in the cloud computing space. Attend industry events, join online forums, and connect with peers on social media to learn more about the latest trends and technologies.
🌍 Recommended Tutorial: Top 13 Attractive Cloud Developer Job Roles (2023)
#7 – Internet of Things (IoT)
Quick Summary: The ability of everyday objects to connect to the internet and exchange data is becoming increasingly common. As a result, knowledge of IoT technologies and how to develop and manage IoT systems is likely to be in high demand.
🚀 CAGR: The Compound Annual Growth Rate of the Internet of Things (IoT) industry is estimated to be around 20-25% over the next five years.
How to learn about the IoT?
- Take an Online Course: There are a number of online courses available that can teach you about the Internet of Things (IoT). You can find courses offered by a variety of major universities and tech companies.
- Read Books and Blogs: There are a lot of great books and blogs that can teach you about the Internet of Things. You can find books written by experts in the field, as well as blogs that discuss the latest trends in IoT.
- Attend Conferences and Events: There are a number of conferences and events that focus on the Internet of Things. Attending these events can help you stay up-to-date on the latest trends and technologies in IoT.
- Network with Other Professionals: One of the best ways to learn about the Internet of Things is to network with other professionals in the field. You can join online forums and attend events to meet other people who are passionate about the same topics as you.
- Experiment with Hardware and Software: You can also experiment with various hardware and software to learn more about the Internet of Things. You can purchase kits designed for IoT projects, or build your own projects from scratch.
🌍 Recommended Tutorial: What is IoT? from Oracle
#8 – Natural Language Processing
Quick Summary: The ability of computers to understand and process human language is becoming increasingly important in fields like customer service and language translation. As a result, knowledge of natural language processing technologies is likely to be in high demand.
In fact, I used NLP software to enrich this tutorial with valuable and helpful information and research data and information.
🚀 CAGR: The CAGR of Natural Language Processing is projected to be around 28.5% in the period of 2020-2025.
How to learn natural language processing?
- Start with the basics: Read up on the fundamentals of natural language processing, such as parts of speech, syntax, semantics, and discourse analysis.
- Learn a programming language: Natural language processing requires knowledge of a programming language, so brush up on your programming skills. I recommend Python due to its awesome machine learning capabilities and libraries.
- Familiarize yourself with popular NLP libraries: If you’re already comfortable with a programming language, take a look at the popular libraries available for natural language processing.
- Read research papers: Staying up to date on the latest natural language processing technology requires you to read research papers. Try reading one NLP paper a day!
- Practice on online courses and tutorials: There are plenty of online courses and tutorials available to help you understand and apply natural language processing techniques.
- Work on a project: Put your knowledge to work by tackling a natural language processing project.
🌍 Recommended: Natural Language Processing (Google Scholar)
#9 – Robotics
Quick Summary: The development of robots that can perform tasks autonomously is becoming increasingly common in many industries. As a result, knowledge of robotics technologies and how to develop and manage robotic systems is likely to be in high demand.
🚀 CAGR: The CAGR of robotics is roughly 17%. This figure is based on the compound annual growth rate of the total global robotics market from 2014 to 2019.
How to learn robotics?
- Take an university course: Many robotics courses are available at the undergraduate and graduate levels, as well as through online classes, vocational schools, and coding camps. Taking a course can provide you with the opportunity to learn about robotics from experienced professionals.
- Take an online course: There are many online courses available that can help you learn about robotics. From online robotics courses to tutorials, you can find courses that will help you understand the basics of robotics.
- Attend a robotics workshop: Robotics workshops provide you with the opportunity to learn about robotics from experienced professionals. You can also get hands-on experience with building and programming robots.
- Join a robotics club: Robotics clubs are a great way to meet other robotics enthusiasts and learn from each other. You can also gain access to equipment and resources that may be difficult to find on your own.
- Read books and articles: There are plenty of books and articles available on robotics that can help you understand the basics and more advanced concepts.
- Build and program your own robot: Building and programming your own robot is the best way to learn robotics. There are many kits available that will help you get started.
🌍 Recommended Tutorial: Getting To Know Your Basic UCTRONICS Raspberry Pi Pico Kit
#10 – Quantum Computing
Quick Summary: The ability of computers to perform calculations using quantum mechanics is a rapidly developing field with many potential applications. As a result, knowledge of quantum computing technologies is likely to be in high demand in the coming years.
🚀 CAGR: The CAGR (Compound Annual Growth Rate) of quantum computing is constantly evolving. However, some estimates suggest that the CAGR of quantum computing could be as high as 20% over the next 10 years.
How to learn quantum computing?
- Start with the basics: Understand the fundamentals of quantum mechanics and linear algebra. Read the Wikis!
- Get to know the quantum computing landscape: Research the different types of quantum computers, quantum algorithms, and quantum programming languages. Read papers daily!
- Learn how to program quantum computers: Use online tutorials and courses to learn quantum computing programming languages such as Q#, OpenQASM, or Cirq.
- Keep up with the latest developments: Read research papers, articles, and blogs related to quantum computing.
- Experiment with quantum computers: Use quantum computing simulators and cloud-based quantum computers to try out algorithms and explore the capabilities of quantum computing.
- Get involved in the community: Attend quantum computing meetups, join quantum computing forums, and participate in hackathons.
🌍 Recommended: Quantum Computing on Google Scholar
#11 – Biotechnology
Quick Summary: The ability to manipulate biological systems for a variety of purposes, such as the production of drugs and the development of new agricultural techniques, is becoming increasingly important. As a result, knowledge of biotechnology is likely to be in high demand in the coming years.
🚀 CAGR: The CAGR (compound annual growth rate) of the biotechnology sector varies based on the geographical region or sector in which it operates. Generally, the growth of the biotechnology sector has been quite strong in recent years, with the global biotechnology market estimated to reach $775 billion by 2025, at an annual growth rate of 8.6%.
How to learn biotechnology?
- Take a course. Many universities, colleges, and technical schools offer courses in biotechnology. Look for classes such as: biochemistry, genetics, cell biology, microbiology, molecular biology, and bioinformatics.
- Attend seminars and conferences. Seminars and conferences hosted by research institutions and biotech companies are a great way to learn about the latest developments in the field.
- Read scientific journals. Publications such as Nature, Science, and Cell are great sources of information about the latest breakthroughs in biotechnology and related fields.
- Network. Connect with professionals in the field by attending networking events, or joining a professional organization like the Biotechnology Industry Organization.
- Get an internship. Internships provide hands-on experience in a real-world biotechnology lab.
- Take advantage of online resources. There are a number of online resources available, including webinars, tutorials, and open-access databases.
🌍 Recommended: I like the top overview articles on Google Scholar
Thanks for Reading! ♥️
Many of the technologies discussed require programming skills. If you’re excited about coding and tech, feel free to learn Python with our free email academy and simple cheat sheets: