About Data Engineering
Advanced Data Engineering Learn to design data models, build data warehouses and data lakes, automate …
View SyllabusLearn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
4 weeks of Technical training
>1 week of Professional training
>This course is qualifying you to work as
Machine learning Engineer
>Data Scientist
>MLOps Engineer
>This course will qualify you to work as:
After passing this course’ assessment, you will get direct access to Udacity classroom
You should meet the following criteria:
Intermediate Python programming knowledge, including at least 40 hours of programming experience
>Familiarity with data structures like dictionaries and lists
>Experience with libraries like NumPy and pandas
>Basic knowledge of probability and statistics, including experience calculating the probability of an event
>Familiarity with terms like the mean and variance of a probability distribution
>You haven’t joined the Cross-skilling track before either for this specialization or a different one.
>The key skills demonstrated will include:
Identify the importance of the Agile in the tech fields
Compare Agile versus the more traditional Waterfall approach to product development
Compare, Evaluate and Contrast Scrum, Kanban, and XP
Identify an Agile team’s core roles, optimal size, structure, and cross-functional skills
Get a detailed resume review from an industry professional.
Get a customized review of your LinkedIn profile from an industry professional.
A technical professional will help you organize your profile to showcase your projects and skills.
We partner with leading technology companies to learn how technology is transforming industries, and teach the critical tech skills that companies are looking for in their workforce. With our powerful and flexible digital education platform, even the busiest learners can prepare themselves to take on the most in-demand tech roles.
Advanced Data Engineering Learn to design data models, build data warehouses and data lakes, automate …
View SyllabusAdvanced Data Architect Companies are looking for talented DevOps engineers to remain competitive in this …
View Syllabus