Generative AI with Python and GCP Course in Singapore
The Most Comprehensive Certification Course for Guaranteed Career Success
30K+ Enrolled
Explore the potential of Generative Artificial Intelligence (AI) with our Simpliaxis comprehensive course on leveraging Python and Google Cloud Platform (GCP). This course is designed for aspiring data scientists, machine learning engineers, and AI enthusiasts who want to delve into the realm of generative AI and harness its power for various applications.
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Professionals trained
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Workshops every month
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Trainers
450K+
Professionals trained
250+
Workshops every month
20+
Trainers
Explore the cutting-edge intersection of artificial intelligence and creativity with our Generative AI with Python and GCP course. In this comprehensive program, participants will delve into the fascinating realm of generative artificial intelligence (AI) and learn how to leverage the power of Python programming and Google Cloud Platform (GCP) for creating innovative AI applications.
Throughout the course, participants will gain a solid understanding of generative AI principles, including the underlying algorithms and techniques used to generate new content autonomously. They will master Python programming language essentials and explore its libraries and frameworks crucial for building generative AI models. Additionally, participants will familiarize themselves with GCP services and tools essential for developing, deploying, and scaling AI applications in the cloud.
From building and fine-tuning advanced generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to deploying models on GCP infrastructure, participants will gain hands-on experience and practical insights into the entire generative AI development process. By the end of the course, participants will be equipped with the skills and knowledge to develop intelligent, creative AI applications that push the boundaries of innovation in various domains.
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30K++ Enrolled
Course Overview
Explore the cutting-edge intersection of artificial intelligence and creativity with our Generative AI with Python and GCP course. In this comprehensive program, participants will delve into the fascinating realm of generative artificial intelligence (AI) and learn how to leverage the power of Python programming and Google Cloud Platform (GCP) for creating innovative AI applications.
Throughout the course, participants will gain a solid understanding of generative AI principles, including the underlying algorithms and techniques used to generate new content autonomously. They will master Python programming language essentials and explore its libraries and frameworks crucial for building generative AI models. Additionally, participants will familiarize themselves with GCP services and tools essential for developing, deploying, and scaling AI applications in the cloud.
From building and fine-tuning advanced generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to deploying models on GCP infrastructure, participants will gain hands-on experience and practical insights into the entire generative AI development process. By the end of the course, participants will be equipped with the skills and knowledge to develop intelligent, creative AI applications that push the boundaries of innovation in various domains.
Generative AI with Python and GCP Training Highlights
Develop a GenAI Bot in Python with Flask
Understand the fundamental concepts of Generative AI from a Developer's perspective
Learn about Prompt Engineering best practices
Hands on AI Tools Experiences
Life Time Course access
Certificate of Completion
course schedules
Common attendees
Prerequisites for Generative AI with Python and GCP certification training
COURSE Curriculum
What you will learn in this Generative AI with Python and GCP workshop
This involves understanding the fundamental concepts and theories behind generative artificial intelligence (AI), which focuses on creating new data or content rather than simply analyzing existing data. This includes learning about various algorithms, techniques, and architectures used in generative AI.
Python is a widely-used programming language in the field of AI due to its simplicity, versatility, and extensive libraries. Mastering Python and libraries such as TensorFlow, PyTorch, Keras, and NumPy is crucial for implementing generative AI models effectively.
Google Cloud Platform is a suite of cloud computing services offered by Google, including storage, computing, machine learning, and data analytics. Familiarity with GCP enables practitioners to leverage its resources for developing, deploying, and scaling AI applications, including generative models.
Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) are two popular classes of generative models used in AI. Learning to implement these models involves understanding their architectures, training procedures, and applications in generating realistic data, such as images, text, and audio.
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Generative AI with Python and GCP Certification COURSE For Corporates
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