AI and ML are very prominent fields in the tech and IT sector today. There is a huge demand for skilled professionals in AI and ML to conduct research and develop futuristic tech. AI and ML are skill-driven fields with hands-on applications in diverse industries. Professionals seeking to build a career in these fields need to pursue AI and machine learning courses from a leading university known for its skill development programs.
As one of the top AI and ML colleges in Nashik, Sandip University’s AI and ML engineering program is designed to train future engineers who can drive pioneering innovation in the tech industry. Sandip University’s AI course is designed to meet industry expectations through skill-intensive training. Students learn technical and non-technical skills to become employable professionals in the AI and ML sector.
Let us explore the technical and non-technical skills students will learn through Sandip University’s B.Tech in AI and ML program:
Technical Skills in AI and ML Program
Since AI and ML are skill-based programs, Sandip University emphasises on hands-on skill development in high-tech computer labs. These are some of the top technical skills that students learn when pursuing an AI and ML program at Sandip University:
- Programming Skills
Programming skills help students understand core concepts and programming languages used in AI and ML. Python, Java, and C++ are popular programming languages that are used in AI and ML programming. The extensive libraries and frameworks of Python make it more adaptable for AI and ML models, hence there is a lot of focus on training students in Python at Sandip University.
- Deep Learning
Deep learning is an important aspect of machine learning that uses artificial neural networks to analyse complex data and perform tasks that mimic human intelligence. Deep learning is also very relevant to artificial intelligence in advancements like image recognition, language detection and analysis, and speech recognition, powering autonomous vehicles, robotics, data analysis, etc.
- Data Management and Feature Engineering
The success of an AI and ML model is dependent on data management and feature engineering. Students at Sandip University are taught to process, store, and analyse data through data management, and transform raw data through feature engineering to adapt it to machine learning models. Effective data management is key to feature engineering for efficient use of complex data.
- Big Data Tech
Big data technologies play an important role in supporting AI and ML as they provide the necessary infrastructure to store, process, and analyse large sets of collected data. Students learn about databases like Hadoop, Spark, and NoSQL to understand their role in supporting AI and ML models. Insights gained through such databases can help drive meaningful innovation in the long run.
- Computer Vision
Computer vision is an integral aspect of artificial intelligence that helps computers to interpret visual data like humans. Through computer vision, computers can see and interpret images and videos. This technology closes the gap between the real and virtual world, to process visual information for different applications.
- Natural Language Processing (NLP)
Natural language processing is a branch of AI and ML that helps computers to analyse, interpret, and create human languages. NLP is used in ML models like neural networks and statistical models to interpret linguistic data in terms of speech and text. This is one of the most important AI engineering skills taught to students pursuing AI and ML at Sandip University.
- Machine Learning Algorithms
Machine learning algorithms form the foundation of AI and ML models as they enable them to interpret data and make informed decisions based on the analysis. Students learn about different algorithms like linear regression, logistic regression, K-means, random forests, Naïve Bayes, etc. through the AI and ML at Sandip University for better career opportunities in the field.
Non-technical Skills in AI and ML Program
While technical skills are very important for AI and ML professionals, they also need to possess a wide range of non-technical skills to build a thriving career in these fields. Here are the top non-technical skills that students develop when pursuing an AI and ML program at Sandip University:
- Communication skills
Students are trained to communicate effectively and accurately to become a valuable member of a dynamic team. Public speaking workshops, language training programs, etc. are organised to help students develop excellent communication skills.
- Critical Thinking and Problem Solving
Critical thinking and problem-solving skills are very important for AI and ML professionals. They have to analyse data and adapt models to understand its limitations and flaws, based on which they can troubleshoot efficiently to smoothen out existing issues.
- Adaptability to Continuous Learning
AI and ML are highly evolutionary fields with scope for constant knowledge and skill upgradation. Students are instilled with a sense of curiosity and thirst for knowledge that adapts them to constantly learning about the latest advancements in AI and ML.
- Ethical Implications of AI and ML
While AI and ML are shiny new tools in the tech industry, there are many ethical implications to these technologies. Students at Sandip University are trained in a manner that strengthens their ethical and moral compass, ensuring that they make the right decision when faced with an ethical dilemma.
- Emotional Quotient and Empathy
Sandip University ensures that students are nurtured in a positive and conscientious manner. This helps build their emotional quotient, making them empathetic AI and ML engineers who use their talents for the betterment of humankind and future generations.
Conclusion
These are the top technical and non-technical skills you will develop when pursuing AI and ML at Sandip University. The career scope in AI and ML is vast, and with the right training you will ace this industry with ease. Sandip University definitely can help you become an employable and progressive AI and ML engineer. Good luck!