Python Essentials for Deep Learning
Build practical Python skills for deep learning workflows using real-world tools and data. This course introduces essential coding techniques engineering professionals can use to support AI-related tasks and projects.
$499
Total: Course cost
09/23/2025
Next start date
2 Weeks to complete
4 modules
Online - scheduled
Learning modality
Earn a credential
View credential
$499
Total: Course cost
09/23/2025
Next start date
2 Weeks to complete
4 modules
Online - scheduled
Learning modality
Earn a credential
View credential
$499
Total: Course cost
09/23/2025
Next start date
2 Weeks to complete
4 modules
Online - scheduled
Learning modality
Earn a credential
View credential
$499
Total: Course cost
2 Weeks to complete
Duration
Online - scheduled
Overview
Required Prerequisites: Please ensure the following before enrolling in this microcredential:
- Fundamental programming knowledge in Python or similar languages (e.g., C/C++, R, Matlab, Java).
- Basic understanding of linear algebra and statistics is also recommended.
This hands-on course is designed for professionals who want to build a foundational understanding of Python programming in the context of deep learning. You'll learn how to prepare and manipulate data using libraries like NumPy and Pandas, write reusable code, and visualize data with Matplotlib and Seaborn—all within a cloud-based notebook environment (Google Colab).
The course ends with a mini-project that ties everything together to prepare you for future work with TensorFlow and machine learning. Whether you're exploring new career paths or supporting data-driven projects in your current role, this course will help you develop job-relevant, transferable skills.
Key Benefits
- Use Google Colab for Python coding
- Manipulate data with NumPy and Pandas
- Visualize trends with Matplotlib/Seaborn
- Write clean, reusable code
- Debug common coding errors
This micro-badge is a part of the Deep Learning with TensorFlow Badge.
Program Schedule: Sessions will be held via Zoom:
- Dates Coming Soon
Micro-badge Level
This micro-badge is offered at Level 2. Level 2 micro-badges empower learners to apply their foundational knowledge through hands-on practice, allowing them to demonstrate their skills with tangible evidence.
Learn more about the Ira A. Fulton Schools of Engineering micro-badge leveling system.
Course Modules
Who this course is designed for
- Entry-level data analysts preparing for deep learning projects
- Engineers looking to expand their coding and data skills
- Software developers exploring AI and machine learning tools
- Career changers transitioning into technical data roles
Outcomes
By the end of this course, you’ll be able to:
- Operate a Python notebook and manage environments to support TensorFlow workflows.
- Prepare and manipulate data using NumPy and Pandas for model inputs.
- Construct reusable code and debug shape, input/output, and type errors.
- Complete a practical project that integrates data preparation, coding, and visualization techniques
Practical skills you will develop
This program equips learners with vital skills to thrive in today's complex workforce. Key skills include:
FAQs
Program support
Have additional questions?
Please reach out directly to exec-fseonline@asu.edu for program related questions.
Instructors
Shenghan Guo
Assistant Professor, School of Manufacturing Systems and Networks
Arizona State University
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