AI Machine Learning Boot Camp
Artificial intelligence (AI) and machine learning (ML) are among the most in-demand skills in the world. With the growth in automation and robotics across industries, there are massive job opportunities in AI programming, data science, engineering, and research.
$4,995
Cost
301 HOURS
6 Months
Open Enrollment
Self Paced
The AI Machine Learning Boot Camp is a six-month comprehensive training course for professionals interested in pursuing a career in AI and ML. You will complete over 300 hours of self-paced training learning key concepts and models along with practical programming skills in Python and ML. You will also prepare to pass the Microsoft Azure AI Engineer Certification Exam AI-102: Designing and Implementing an Azure AI Solution.
Learning is entirely online and self-paced to suit your schedule. You’ll have access to interactive video lessons, labs for real-world practice, discussion boards to engage with peers, and live one-on-one coaching sessions with an industry expert instructor.
The course instructor will be available by email to answer any questions you may have and provide feedback on your performance. Occasionally, a team of industry experts will join your course. Students will also be assigned an advisor for academic support.
This course is a self-paced course that can be completed 100% online. Open enrollment means that you can register and start the course whenever you are ready.
Strengthen Your Skills Today!
- Understand AI and ML definitions, history, current state, goals, types of models, and more
- Learn simple correlation, simple tests, selecting a training data set, cross-validation, and regression models
- Gain knowledge about common ML models such as random forests and ensemble models
- Learn applied natural language processing (NLP)
- Development of neural networks and be able to apply them in a practical way
- Be able to pass the AI-100 certification exam
By the end of this course, you will be prepared for the following job roles/functions:
Machine Learning Researcher
Data Science Engineer – Machine Learning
AI and ML Developer
Data Scientist – Entry level
Quantitative Researcher
Research Analyst
