The Postgraduate program in Generative AI at Golden Gate University is designed to equip students with the knowledge and skills required to excel in the field of artificial intelligence, particularly in generative models. This comprehensive program covers the fundamentals of AI, machine learning, and deep learning, with a focus on generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The program aims to provide students with hands-on experience in developing and deploying AI models, as well as the ability to analyze and interpret complex data. With a strong emphasis on practical applications and industry-relevant projects, this program is ideal for professionals and graduates looking to transition into AI and related fields. The program is delivered through a combination of online and offline modes, allowing students to balance their academic and professional commitments.
Understand the fundamentals of artificial intelligence, machine learning, and deep learning
Develop expertise in generative models, including GANs and VAEs
Design and deploy AI models using popular frameworks such as TensorFlow and PyTorch
Analyze and interpret complex data to inform business decisions
Develop problem-solving skills and apply AI concepts to real-world problems
A structured learning path designed for mastery.
This module provides an introduction to the fundamentals of AI and machine learning, including supervised and unsupervised learning, regression, classification, and clustering.
This module covers the basics of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks.
This module focuses on generative models, including GANs and VAEs, and their applications in image and video generation, text-to-image synthesis, and data augmentation.
This module explores the applications of AI in computer vision, including image classification, object detection, segmentation, and tracking.
This module covers the applications of AI in natural language processing, including text classification, sentiment analysis, and language translation.
This module focuses on the deployment of AI models in real-world applications, including model serving, monitoring, and maintenance, as well as the ethical considerations of AI development and deployment.
Industry-aligned concepts
Real-world tools
Global recognition
Visualize your professional trajectory with data-backed outcomes.
Design and develop AI and machine learning models to solve complex problems in various industries.
Collect, analyze, and interpret complex data to inform business decisions and drive business growth.
Develop and deploy computer vision models to solve problems in image and video analysis, object detection, and tracking.
The career growth path for graduates of this program can include roles such as AI/ML Engineer, Data Scientist, Computer Vision Engineer, and AI Research Scientist. With experience, graduates can move into leadership positions such as Technical Lead, Engineering Manager, or Director of AI.
Analyze the market value and earning potential for professionals graduating from the program.
Did you know? Professionals with specialized executive certifications often see a 30-50% hike when switching roles.
A comprehensive toolkit of technical, strategic, and interpersonal skills designed to future-proof your career in .
Core concepts & theory
Hands-on projects & labs
Strategic decision making
Industry-ready mastery
Hear from leaders who have redefined their careers through the program.
The Generative AI program at Golden Gate University provided me with the knowledge and skills required to excel in the field of AI. The faculty and staff were supportive and helpful, and the curriculum was comprehensive and industry-relevant. I highly recommend this program to anyone interested in AI and machine learning.
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