Artificial Intelligence
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New answer posted
2 weeks agoBeginner-Level 3
If you complete MBA in Data Science and AI with SAS at Chandigarh University, you can expect placements that are both diverse and future-ready. The programme is designed in such a way that we don't just learn theory but also apply it through live projects, capstone assignments, and industry workshops powered by Intel. By the time placements arrive, we already know how to work with tools like Python, AI models, forecasting methods, and visualization platforms.
Because of this, students usually land roles like Machine Learning Engineer, Data Analyst, Market Research Analyst, and Big Data Engineer. Sectors like banking, retail, telecom, e-
New answer posted
2 weeks agoContributor-Level 7
The GATE paper code of Data Science and Artificial Intelligence is DA. Here are the eligible paper combinations for Data Science and Artificial Intelligence -
- Computer Science and Artificial Intelligence (CS)
- Electronics and Communication Engineering (EC)
- Electrical Engineering (EE)
- Mathematics (MA)
- Mechanical Engineering (ME)
- Physics (PH)
- Statistics (ST)
- Engineering Sciences (XE)
New answer posted
2 weeks agoContributor-Level 10
There are high chances that you will get the highest paying AI jobs, if you have deep knowledge of machine learning, deep learning, NLP, big data, and cloud AI platforms. Based on your knowledge, build a portfolio on GitHub or Kaggle. You can also join LinkedIn networks or AI conferences.
New answer posted
2 weeks agoContributor-Level 10
The industries with the best AI salaries are healthcare, fintech, autonomous vehicles, cloud computing, robotics, and generative AI.
New answer posted
2 weeks agoContributor-Level 10
The highest paying AI jobs are AI Research Scientist, Machine Learning Engineer, AI Product Manager, Computer Vision Engineer, NLP Engineer, Generative AI Engineer, Robotics Engineer, and AI Solutions Architect.
New answer posted
3 weeks agoContributor-Level 9
The National University of Singapore, or NUS-ISS, offers a master's programme in Artificial Intelligence Systems. The programme is ideal for those students who have a keen interest in fields like Robotics, Sensing systems, or more. The programme curriculum includes Intelligent Reasoning Systems, Pattern Recognition Systems, Intelligent Robotic Systems, Intelligent Sensing Systems, Practical Language Processing, and Intelligent Financial Risk Management.
New answer posted
a month agoContributor-Level 10
A deep knowledge of AI and ML is not a mandatory requirement for pursuing Data Engineering courses but you should be familiar with the basic fundamentals that further come in handy in the optimization of AI models along with the implementation of efficient data systems.
No doubt traditional Data Engineering is all about designing and building databases and warehouses along with robust pipeline infrastructures, ensuring the accuracy and reliability of data. But with technological advancements and AI coming into the picture specialised roles like AI Data Engineers are becoming popular. So, you need to up your level by learning AI and ML a
New answer posted
a month agoContributor-Level 10
Data Engineering jobs will not get fully replaced by AI or automation in the future but rather AI will transform the nature of jobs by automating mundane, repetitive tasks and letting data engineers focus on building more sophisticated data systems, AI models and infrastructure to power businesses.
In fact Data Engineering professionals can work faster and with more efficiency, strategically understanding business infrastructure needs and coming up with powerful data-driven pipelines for the future. So, you should up your game by enhancing your skill set and taking up skill-based certifications to stay relevant in the market.
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