
20/04/2025
Want to Stay Relevant in Tech?
Thirty (30) Tech Skills in Demand You Need to learn at least one of them in 2025 (part one):
Learn one of These six (6) Skills in 2025
1. Artificial Intelligence (AI) Development:
Artificial Intelligence (AI) development is the creation and refinement of systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, and making decisions. It involves designing and building machines or software that can mimic human cognitive abilities, including perception, language understanding, and problem-solving. AI development is a broad field encompassing various disciplines like computer science, data analytics, and even philosophy.
2. Machine Learning (ML):
Machine Learning (ML) is a field of artificial intelligence (AI) that focuses on training computer systems to learn from data without explicit programming. These systems can improve their performance and accuracy over time as they are exposed to more data. Essentially, ML algorithms can learn patterns and make predictions based on the information they are trained on.
3. Data Science & Analytics:
Data Science and Data Analytics are related but distinct fields that both use data to gain insights and drive decision-making. Data Science is a broader field that encompasses various techniques, including data analytics, to extract knowledge from large datasets and build predictive models. Data Analytics, on the other hand, focuses on analyzing existing data to understand past trends and inform current decisions.
4. Natural Language Processing (NLP):
Natural language processing (NLP) is the ability of a computer program to understand human language as it's spoken and written -- referred to as natural language. It's a component of artificial intelligence. NLP has existed for more than 50 years and has roots in the field of linguistics.
5. Computer Vision:
Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions.
6. Full-Stack Development (e.g., MERN, MEAN):
Full Stack is used to create any type of application as per your business requirements, whereas MEAN and MERN stack are referred to specific technologies for JavaScript-based app development with great scalability and performance.