Deep Learning for Business Training Course
Deep learning or deep structured learning is a subset of machine learning that involves multiple layers of networks for building predictive models. It is widely utilized in major industries such as healthcare, e-commerce, banking, manufacturing, and automotive.
This instructor-led, live training (available online or onsite) is designed for business analysts, data scientists, and developers who wish to build and implement deep learning models to drive revenue growth and address challenges in the business world.
By the end of this training, participants will be able to:
- Understand the core concepts of machine learning and deep learning.
- Gain insights into the future of business and industry with ML and DL.
- Develop business strategies and solutions using deep learning.
- Learn how to apply data science and deep learning in solving business problems.
- Build deep learning models using tools such as Python, Pandas, TensorFlow, CNTK, Torch, Keras, and others.
**Format of the Course**
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options for Government**
To request a customized training tailored to specific needs, please contact us to arrange.This course is available as onsite live training in US Government or online live training.
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Course Outline
Introduction
- Overview of Machine Learning (ML) and Deep Learning (DL) concepts for government
- Future industry evolutions with ML and DL for government
Business Strategy with Deep Learning
- Defining business problems for government operations
- Data-driven decision making in the public sector
- Analytical thinking and mindset for government professionals
- Business strategy modeling for government initiatives
- Case studies and examples relevant to government agencies
Deep Learning Software and Tools
- Fundamentals of Python and Pandas for government applications
- Open source DL tools (TensorFlow, CNTK, Torch, Keras, etc.) for government use
- Use cases and examples in public sector operations
Deep Learning with Neural Networks
- Neural Network Learning (Backpropagation) for government projects
- Convolutional Neural Network (CNN) applications in the public sector
- Recurrent Neural Network (RNN) use cases for government agencies
- DL modeling examples relevant to government operations
Summary and Next Steps
Requirements
- An understanding of machine learning concepts for government applications
- Python programming experience
Audience
- Business analysts
- Data scientists
- Developers
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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