1. What is the IBM AI Engineering Professional Certificate Course?

The IBM AI Engineering Professional Certificate Course is a unique and innovative learning module that will empower students to become adept at the use of Artificial Intelligence with Machine learning. Deep learning will enhance your knowledge of this new technology.

2. What are the career opportunities post the course completion?

The IBM AI Engineering expert can avail of millions of jobs from thousands of international and domestic organizations. The IBM AI Engineering Professional Certificate Course will make you a proficient and most likely hirable candidate for these companies. These candidates can even start their own small-scale AI companies.

3. What are the prerequisites and descriptions of this course?

A candidate with basic knowledge of programming and the zeal to learn about Artificial Intelligence is enough for enrolling and pursuing the IBM AI Engineering Professional Certificate course. Candidates with an engineering background are also suitable for the course.

4. Will I get any academic assistance while learning the Professional Behavioral Analyst courses from Henry Harvin®?

Our teaching assistants are a dedicated team of subject matter experts to help you get certified on your first attempt. They proactively engage with you to ensure adherence to the course path and enrich your learning experience.

5. Who are the instructors, and how are they selected?

All of our highly-qualified Technical Programming and Designing trainers are Certified Professional Trainers with more than 10 years of experience in training and working professionally in the field. Each has to appear through a rigorous selection process that includes profile screening, technical evaluation, and live training demonstration before they are certified to train for us. We also ensure that only those trainers who maintain a high alumni rating continue to train for us.

6. What are the projects that a student undertakes during the course?

A student undergoes multiple projects, including the capstone project to implement her AI and Neural Network skills. Other projects include Deep learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow.

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