Arya College of Engineering & I.T. says When making a choice about which engineering course to pursue in the future, B.Tech in Artificial Intelligence and Data Science is certainly the best overall pick – but it is only the “best” if you like doing mathematics, programming, and continuous learning. These days, AI and data science influence all major areas, from software to healthcare, finance to manufacturing, logistics and public services. Among other things, according to the World Economic Forum, fast-growing professions include big data specialists, AI and machine learning specialists, fintech engineers, software developers and security management specialists; among top growing skills are AI, big data, networks and cybersecurity. Thus, picking AI and Data Science is quite a wise decision, since this programme includes coding, statistics, machine learning, databases and the capability to make decisions based on information. The quality of courses, portfolio of projects, in...
1. Start with a genuine problem, not an impressive component A beginner project should always solve a real small-scale and specific problem of yours or your surroundings. Think “It takes me too much time to track my tasks,” “I need a better system to regulate temperature in my room,” or “Lab announcements are hard to keep track of.” Projects to consider: A simple application to track expenses and budget. A notice board for hostel/class announcements. 2. Don’t be greedy In your first year, the focus should be on finishing one thing properly, rather than developing many unfinished things at once. Your goal is to have something completed, not start a business. Good first projects: Your first calculator/tic-tac-toe console game after completing your first programming courses. 3. Follow a simple project cycle Follow this simple development cycle, a lighter version of the engineering design process. State your problem in one sentence, List 3-5 key features (requirement list), Create y...