About the Technical Aspects of Artificial Intelligence Program
Are you ready to unlock your potential in artificial intelligence (AI) with our cutting-edge new certificate program focused on deep learning ?
This certificate program is perfect for everyone, from beginners looking to build essential skills to experienced professionals wanting to elevate their expertise. Participants will gain hands-on experience in high-demand areas such as natural language processing (NLP), computer vision, and advanced AI concepts, empowering them to thrive in the rapidly evolving tech landscape.
The program focuses on building a strong foundation in probability and statistics, essential for understanding deep learning algorithms and neural networks. You'll dive deep into the core concepts of TensorFlow and PyTorch, industry-standard tools for developing AI solutions. Throughout the program, you'll develop key skills in NLP and computer vision, two of the most in-demand fields in AI.
Flexible, Self-Paced Deep Learning topics for Busy Schedules
This is asynchronous, flexible and designed for individuals with varying levels of experience in AI and tech, from beginners who want to learn foundational skills to seasoned professionals aiming to expand their expertise. This program offers the convenience to learn at your own speed while balancing your career and personal life. You can complete the program withing three quarters or extend up to five years to fit your schedule. Enroll now and transform your future!
Learning Objectives
- Learn fundamentals of deep learning and the widespread network architectures employed in the real world for computer vision applications
- Implement and train their Neural Networks to understand how Deep Learning is used in Computer Vision and other applications
- Apply course content to develop, train, and fine-tune the Neural Network for selected computer vision application and other applications
- Learn new research and development area of Deep Learning running at the edge by understanding the techniques of compression and pruning and tool for deploying the deep learning model on the platform, such as smartphones.
- Understand how Neural Networks become the foundational architecture of Deep Learning
- Review tools available to build Deep Learning including Tensor Flow, Keras, and Theano
- How to install TensorFlow in the Python environment
- Understand the GUI (Graphical User Interface) of interface software and how it interfaces with TensorFlow
- Review Machine Learning models that can be implemented
- Build Deep Learning Machine Learning models using TensorFlow and various interfaces
- Understand Word2Vec and apply this concept in various real-world applications
- Extract themes from documents using several different approaches
- Use ChatGPT and understand how it was developed
- Understand Huggingface Transformer library and use this library for various NLP applications
- Learn what the future of Language Models is and its impact on society
Course Benefits
- Courses taught by industry experts
- Completing these courses involves working on projects that provide practical experience
- Optional prerequisite knowledge provided within our organization for students who may need additional support to successfully complete the program
- The knowledge gained can be applied across different domains, making students versatile and valuable in various industries
- Gaining a broad and deep understanding of AI and machine learning, equipping students with the skills needed to tackle a wide range of problems
- After completing these courses, students will be well-prepared to engage in advanced AI and machine learning tasks, whether in research, development, or applied industry roles
Technical Aspects of Artificial Intelligence
Prerequisites
Recommended but not required
Required Courses
All three required
Other Courses of Interest
Not required for certificate
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