AI and Machine Learning Course FAQs

• What are AI and machine learning?

  Artificial intelligence (AI) and machine learning are often referred to collectively. This makes sense because you can’t have one without the other. Machine learning is a subset of AI and its main building block. AI technologies depend on ML algorithms to create human-like solutions to problems. AI and machine learning help automate repetitive tasks humans would otherwise perform manually.  This AI and machine learning course will teach you more about these nuances.

• What is an AI and machine learning course?

  A machine learning and AI course teaches students how to identify patterns, make predictions, and automate processes to help organizations make better-informed, data-centric decisions. It will provide the skills and knowledge to perform data analysis, build and test machine learning algorithms, use programming tools like Python, TensorFlow, and scikit-learn, and more. A quality artificial intelligence and machine learning course will provide hands-on training to gain job-ready skills within ethical and compliant standards.

• What are some of the roles and responsibilities of an AI ML professional?

  Some of the critical roles and responsibilities of an AI ML expert include:

  • Designing and developing machine learning algorithms and deep neural networks

  • Developing analytical methods to improve data processing

  • Performing exploratory data analysis

  • Generating and testing working hypotheses

  • Analyzing historical data and identifying patterns

  • Creating innovative solutions to improve all aspects of the business

• What are the advantages of taking this AI ML course online?

  This AI ML certificate course by Caltech CTME, in collaboration with Simplilearn, will help you gain essential AI and ML skills through real-world exposure to various AI concepts and workflows, machine learning techniques and tools, Python, computer vision, natural language processing, deep learning, parallel and distributed computing using GPUs, GANs, and many more of the latest concepts related to AI and machine learning.

• How do I apply for this machine learning and AI course?

  To apply for this AI and machine learning course, you must follow these steps:

  • Submit the program application form

  • Include a brief statement of purpose along with the application to let the admission counselors know why you are interested in the course.

  • We will process the application and reply within 1-3 working days

  • Once selected, you will receive an admission letter, which you can accept by paying the program fee

• Who are the instructors for this AI and Machine Learning program, and how were they selected?

  Our highly qualified instructors are industry experts with relevant industry experience. Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating stay on. Caltech CTME instructors conduct masterclasses.

• What is the average salary for an AI and machine learning engineer?

  An AI engineer can expect an average annual compensation of $203K, while machine learning engineers can earn a total of $166K.

• Is AI and ML a good career?

  Yes. Organizations worldwide are adopting AI and machine learning and need qualified professionals to benefit from these technologies. These rewarding jobs offer competitive salaries and the opportunity to be at the forefront of innovation. This artificial intelligence and machine learning course will provide you with the knowledge and skills to start your journey in this in-demand field. This course can be extremely helpful for software engineering professionals who want to grow in the field of AI and ML.

• Do I need to be a Caltech student to apply to this AI and machine learning course?

  No, this machine learning and artificial intelligence course is open to all learners who meet the eligibility criteria. However, having a background in computer science can be beneficial.

• Can I keep working while taking this AI and machine learning course?

  Yes, you can keep working while taking this AI and ML course online. However, you will need to make time in your schedule to complete it.

• Who is this AI and machine learning course designed for?

  This AI and ML course accommodates professionals from various industries and backgrounds. It is best suited for software engineers, IT professionals, aspiring data scientists, product managers, and consultants who want to build careers in AI and machine learning.

• Will any preparation material be provided to help me get started?

  The AI and machine learning course starts with an introductory module to help you get a basic idea of AI and ML concepts and understand what you will learn throughout the program.

• What is covered under the 24/7 Support promise?

  We offer 24/7 support through email, chat, and calls. Our dedicated team also provides on-demand assistance through our community forum. You will have lifetime access to the community forum, even after completing your AI and machine learning course.

• Does this AI and ML program require coding?

  Extensive coding experience is not required to take this machine learning and artificial intelligence course. However, you should have a basic understanding of programming concepts and mathematics. You will learn how to use Python throughout the artificial intelligence courses.

• What does an AI ML engineer do?

  AI and machine learning engineers typically work within the data science team to help businesses improve efficiency, cut costs, and make better business decisions. Their roles and responsibilities include (but aren’t limited to):

  • Building, testing, and optimizing AI and ML models

  • Automating and improving infrastructure performance

  • Identifying, analyzing, and organizing data

  • Conducting predictive analysis

  • Assessing risk and ensuring regulatory compliance

  • Communicating with stakeholders

• Is AI and ML hard to learn?

  The AI ML learning curve depends on your prior experience and education in programming and mathematics. It will be more difficult for beginners with limited knowledge in these areas to ramp up in AI and ML, but it’s not an impossible feat. This AI and machine learning course will provide in-depth knowledge of the fundamental concepts and help you gain more advanced skills to kickstart your career in this exciting field.

• Are Simplilearn’s courses eligible for reimbursement by my employer?

  Yes, Simplilearn’s Post Graduate Program in AI and Machine Learning, offered in collaboration with Caltech CTME, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Caltech CTME also accepts tuition vouchers, which can streamline reimbursement.