Learners can choose from a defined set of Nanodegrees which are in line with some of the most in-demand skills profiles across the Bertelsphere. Each year, we are shaking things up a little and offer a variety of Nanodegrees to choose from. Learners need to indicate their chosen Nanodegree in their application. For the upcoming round, learners can choose between the following Nanodegrees:

• Agile Software Development
• AI Programming with Python (minor prerequisites required)
• Enterprise Security (prerequisites required) -> builds on Intro to Cyber Security from last round
• Data Product Manager (prerequisites required)
• Data Engineering with Azure (prerequisites required)

• Start: December 15, 2023
• Activation Deadline: February 20, 2024
• End: July 15, 2024

• Learners benefit from interaction and exchange with the community
• Job-related projects by industry experts
• Focus on business-relevant skills
• Useful help from mentors
• Support from subject matter experts through live webinars
• Graduates earn an industry-recognized credential

• An interactive learning community composed of colleagues within your cohort
• Short videos and interviews with instructors and industry experts
• Activities like quizzes and exercises (quizzes are a tool to help students learn, and an ongoing resource, so learners can watch videos and try the quizzes as many times as they like)
• Real-world projects, which must be completed and submitted
• Live and asynchronous feedback and support from program mentors

The learning journey will be 7 months and self-guided with 4-6 hours of learning per week. Students can learn in their own time, and there are no specific class hours when they need to be online (unless they wish to participate in the optional live project walkthroughs). Throughout the entire learning journey, students will have access to an online community platform, where they will be able to ask tutors and other employee-students for support to help them through any learning difficulties! Students will also have two live “webinars” for each project, where a Udacity tutor, who is a content expert, offers a project walkthrough and unblocks any questions learners may have.

Learners should make sure to follow the program schedule presented in the classroom and they will 
be on track to graduate from the Nanodegree Program on time. However, if students do not make 
sufficient progress within the first ~9 weeks (until February 20, 2024), they risk being removed from 
the program. The criteria they must meet in order to avoid being revoked include submitting the first 
project or viewing 25% of the concepts. 

Yes, students will have indefinite static access to the content after graduating the Nanodegree. Static access will include classroom content that will not be updated over time. Such access will not include access to projects that were not previously submitted, as well as certain services, such as community channels, project reviews, workspaces, labs, or quizzes. Also, please note that learners will lose access to the content if they fail to finish within the Nanodegrees final deadline.

Upon completion of the Nanodegree program, graduates receive an official certificate directly from Udacity. After the students have successfully completed their projects, their identity will be verified with a third-party provider, and students may be asked for a final interview. Once this procedure has been completed, the certificate can be viewed, printed and forwarded via the Udacity account.

Agile Software Development 
The goal is to equip learners with the ability to differentiate between agile methodologies, foster high 
performing teams, manage iteration planning, create a release plan for a Minimum Viable Product, 
develop project status metrics, and effectively communicate progress. People will learn how to build 
products that deliver continuous value to customers using an Agile approach to software development
Please find more information here.
Prerequisites: No prior experience required, besides basic computer skills like managing files, 
navigating online and running programs.

AI Programming with Python
The goal is to equip learners with the ability to utilize programming tools like Python, NumPy, and 
PyTorch, understand applications of Calculus and linear algebra, and perform essential techniques of 
neural networks such as gradient descent and backpropagation.
Please find more information here. 
Prerequisites: Formal prerequisites include basic knowledge of algebra, and basic programming in 
any language.
System Prerequisites: Installation of conda and Python is necessary

Enterprise Security
The goal is to equip learners with the foundational skills of security engineering within an enterprise 
setting. This program addresses security topics related to corporate environments, which are often 
distinct from production environments and center around the devices, identities, and infrastructure 
used by the company’s on a daily basis.
The Enterprise Security ND builds on the Intro to Cyber Security Nanodegree from the previous 
round, making it the 2nd of 3 NDs of the IT Security learning path within the Udacity scholarship.
Please find more information here.
Prerequisites:
• Setting up a Linux server and perform system configuration/management
• Setting up an Azure environment and perform cloud configuration/management
• Exposure to networking, cloud, and hardware systems relevant to courses being taught (e.g. if a 
course teaches on Linux security, students should know the basics of how Linux works).
• Identify the most common networking protocols used (HTTP, TCP, DNS, SSH).
• Distinguish different hardware components in a network (desktop, server, firewall, etc.).
• Explain the relationship between client and server within an architecture.
• Identifying the different encryption protocols (AES, RSA, PGP).

Data Product Manager
The goal is to teach learners how to apply data science techniques, data engineering processes, and 
market experimentation tests to deliver customized product experiences. They begin by leveraging 
the power of SQL and Tableau to inform product strategy. Then, they learn how to develop data 
pipelines and warehousing strategies that prepare data collected from a product for robust analysis. 
Finally, students will learn techniques for evaluation of data from live products, including how to 
design and execute various A/B and multivariate tests to shape the next iteration of a product.
Please find more information here. 
Prerequisites:
• Basic understanding of data terminology (i.e. big data, database, algorithms, etc.)
• Some experience with data analysis (basic SQL and Tableau)
• General understanding of product management is helpful
System Prerequisites:
• Students need SQL, Tableau, Google Slides or Microsoft PowerPoint, Google Sheets or Microsoft Excel
• A 64-bit computer with a minimum operating system of Windows 8.1 or later, Apple MacOS 10.10 
Yosemite or later, or any Linux OS/ any Chrome OS that supports the browsers mentioned above

Data Engineering with Azure
The goal is to teach learners how to design data models, build data warehouses, build data lakes and 
lakehouse architecture, create data pipelines, and work with large datasets on the Azure platform 
using Azure Synapse Analytics, Azure Databricks, and Azure Data Factory.
Please find more information here. 
Prerequisites:
• Intermediate SQL programming skills
• Intermediate Python programming skills
• Familiarity with the Azure cloud platform
• Experience with Github