Generative AI Models and Transformer Networks Certification
$49
ENROLL NOWCourse Overview
What You'll Learn
- This specialization provides a hands-on pathway to mastering Generative AI techniques from foundational architectures to cutting-edge deployment strategies.
- Learn to build and train Autoencoders, VAEs, and GANs using TensorFlow to generate synthetic data and realistic outputs.
- By the end of this program, you will be able to: - Train Generative Models: Build and evaluate VAEs and GANs using real-world data - Generate Synthetic Data: Use VAEs and GANs to create images and other outputs - Apply Transformer Models: Leverage attention mechanisms in models like GPT and BERT - Improve Output Accuracy: Use Retrieval Augmented Generation (RAG) for enhanced results - Deploy GenAI Solutions: Translate emerging model trends into industry-ready applications Ideal for developers, ML engineers, and AI enthusiasts exploring next-gen model development.
This specialization provides a hands-on pathway to mastering Generative AI techniques from foundational architectures to cutting-edge deployment strategies. Learn to build and train Autoencoders, VAEs, and GANs using TensorFlow to generate synthetic data and realistic outputs. Dive into attention mechanisms and Transformer models powering GPT and BERT. Apply RAG for improved accuracy and analyze emerging GenAI trends to create industry-ready solutions. By the end of this program, you will be able to: - Train Generative Models: Build and evaluate VAEs and GANs using real-world data - Generate Synthetic Data: Use VAEs and GANs to create images and other outputs - Apply Transformer Models: Leverage attention mechanisms in models like GPT and BERT - Improve Output Accuracy: Use Retrieval Augmented Generation (RAG) for enhanced results - Deploy GenAI Solutions: Translate emerging model trends into industry-ready applications Ideal for developers, ML engineers, and AI enthusiasts exploring next-gen model development.
Course FAQs
Is this an accredited online course?
Accreditation for 'Generative AI Models and Transformer Networks Certification' is determined by the provider, Simplilearn. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Generative AI Models and Transformer Networks Certification' on the Simplilearn online class platform, where you can complete your registration.
