Tech Skills in Demand

The tech landscape is evolving and the scope for innovations is limitless. But to make such innovations the underlying tech skills are growing too. So, I am pointing out a few key skills in the tech domain that would help you build the right skills, which would help you climb the corporate ladder and improve your Business to build effective & superior products.

🤖 Artificial Intelligence

· Deepen Your Maths & Statistics Knowledge: AI relies heavily on mathematics, linear algebra, calculus, and probability. Strengthen your foundation in these subjects. This would help you in understanding algorithms and models better.

· Master your programming skills: Python is now widely used, familiarize yourself with its libraries NumPy, Pandas, Scikit-Learn, and deep learning frameworks like TensorFlow and PyTorch to have basics in place.

· Practice your skills: You can use cloud platforms like AWS AI/ML, Google AI Platform, and Microsoft Azure AI) can help you learn to scale and deploy AI models, a critical skill for applying AI.

· Networking: As this space is rapidly changing it is essential to engage with other AI enthusiasts. Join AI communities which can provide valuable insights, resources, and support

📈Data Analytics

· Core Analytical Language: SQL is essential for querying databases. Master joins, aggregations, and subqueries for deeper data manipulation. Python as well which I’ve highlighted already & Excel. Yes! excel too. Go beyond basics & learn advance functions.

· Data Visualization Skills: Analytics is incomplete without mentioning tools like Tableau & Power BI. These tools help in visualizations which makes your communication of complex data insights clearly.

· Practice Machine Learning Basics: For data analysts, knowing basic machine learning (such as linear regression, clustering, and decision trees) can be helpful for predictive analytics and advanced insights.

· Critical Thinking: When you are playing around with data, critical thinking helps in arriving at solutions. Giving insightful conclusions on inferences

🖧 Blockchain

· Cryptography: It is the backbone of blockchain security. Learn about encryption methods, hashing, public and private keys, and digital signatures.

· Distributed Systems: This concept is the key for understanding how blockchain operates across decentralized networks. Focus on topics like consensus algorithms, fault tolerance, and peer-to-peer networks.

· Programming Language: Though Python is essential, specific blockchain programming languages include Solidity, Vyper, Rust & Go. This would help you in smart contracts & blockchain development.

· Blockchain Security: Blockchain’s security is critical. Learn about common vulnerabilities like reentrancy attacks (especially relevant to smart contracts), 51% attacks, and double-spending. Study how to audit and test smart contracts to ensure they are secure and free from flaws that could lead to financial losses.

☁️ Cloud computing

· Basics of Cloud of Computing: Concepts like IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). Familiarize yourself with key terms such as virtualization, containerization, serverless computing, and cloud storage.

· Learn Popular Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).

· Hands-On Practice: All major cloud platforms offer free tiers with limited resources for practice (e.g., AWS Free Tier, Azure Free Account, Google Cloud Free Tier). Projects could revolve around setting up cloud storage solutions, building scalable applications, or designing disaster recovery systems.

· Cloud Monitoring and Cost Management: Understand cloud billing models and how to manage costs using services like AWS Cost Explorer, Azure Cost Management, and Google Cloud Pricing Calculator.

👓 Augmented Reality (AR) and Virtual Reality (VR)

· The Fundamentals: Study the main components of AR/VR systems, including motion tracking, rendering, display systems, and user interaction.

· 3D Modelling and Graphics: 3D modelling is crucial for AR/VR. Familiarize yourself with tools like Blender or Maya for creating 3D objects and environments.

· Spatial Audio and Sound Design: Sound is essential for creating immersive VR/AR experiences. Learn about spatial audio design and how to use sound to enhance the sense of presence. Unity and Unreal offer built-in tools for spatial audio.

· Development Platforms: ARCore (Google) and ARKit (Apple) for mobile-based AR. Vuforia for AR applications in Unity. OpenXR and WebXR for cross-platform VR/AR development.

There are also certifications which can be explored through platforms various ed-tech platforms. Certifications can help formalize your skills and showcase your expertise in job applications or freelance work. Staying adaptable and continuously upskilling are essential in tech. If you're looking to elevate your career, consider focusing on one of these high-demand areas. The future of tech is bright for those ready to lead it! 🌟