Data Science immersive program is your direct path to a career as a Data Scientist. This immersive curriculum includes eight courses, two weeks of project capstone, interview preparation and white boarding skills, extensive hands-on skill building, and guided product training.
Data Science Immersive students graduate with the sought after knowledge and trade-craft for immediate employment as Machine Learning Engineers, Business Analysts, Data Analysts, Product Managers, and Consultants.
Professional Penetration Tester training program is your direct path to a cyber security career. This immersive curriculum includes six courses, extensive hands-on skill building, and guided product training (part time; see the evening comparison below). Cyber Security Professional Penetration Tester students graduate with the most sought after knowledge and tradecraft for immediate employment as tier 1+ security engineers, analysts, pen testers and consultants.
The evolution from general IT to cyber security can take five to 10 years. The Professional Penetration Tester does it in as little as 20 weeks part time.
This course is a practical introduction to the application of Well-Architected AWS & Azure solutions. The course is designed to teach cloud computing consultants how to optimize the use of the cloud by understanding AWS & Azure services and how these services fit into cloud-based solutions. Because architectural solutions may differ depending on industry, type of applications, and size of business, this course emphasizes AWS & Azure cloud best practices and recommended design patterns to help students think through the process of architecting optimal IT solutions on AWS & Azure.
It also presents case studies throughout the course that showcase how some AWS & Azure customers have designed their infrastructures and the strategies and services they implemented.
This big data certification course is for software engineers, data analysts, business analysts, technical program managers, architects, database administrators, and researchers with an interest in data science and big data engineering. The format of the course is 50% lectures and 50% labs with exercises. This course is a practical introduction to the interdisciplinary field of data science and machine learning, which is at the intersection of computer science, statistics, and business.
A significant portion of the course will be a hands-on approach to the fundamental modeling techniques and machine learning algorithms that enable you to build robust predictive models. You will learn to use the Python programming language, AWS and Azure Machine Learning tools, and technologies to help you apply machine learning techniques to practical real-world problems. The two in-class projects with Kaggle capstone and IoT streaming will crystallize the concepts learned in the course.