Generate Smarter Generative AI Outputs on Google Cloud Course

The course is an all-encompassing overview of how to build, optimize, and deploy Generative AI solutions with the help of the highly developed AI ecosystem of Google Cloud. Learners will learn to use some of the most important tools, including Vertex AI, Generative AI Studio, and Model Garden, to generate high-quality and context-aware products that met the real-world business requirements. The program includes immediate engineering, fine-tuning foundation models, text, image, and multimodal outputs customization and embedding such models into applications, using APIs and automation piping. You will obtain real world experience in responsible AI pipelines design, model accuracy, AI workload scale and output alignment.

During practical experiments and demonstrations, participants will be taught how to improve productivity, simplify the creation of content, automate the process of decision-making, and embrace the power of state-of-the-art generative models safely on Google Cloud. Upon completion of this course, learners will be assured to develop smarter AI-driven solutions that bring quantifiable change to various industries like marketing, customer service, operations, and development.

This expertly designed training is ideal for AI AI enthusiasts, developers, cloud experts and business innovators. This program, conducted by SSDN Technologies, which has been ranked the Best Training Company, will guarantee skills that are industry relevant, and knowledge that is practical to keep you at the forefront of the world that is changing very fast with Generative AI. 
 


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Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of AI/ML concepts and model training
  • Familiarity with Python programming
  • Understanding of cloud computing and GCP services
  • Exposure to APIs and data processing pipelines
  • Optional: experience with TensorFlow, PyTorch, or Vertex AI

Learning Objectives

This course enables learners to generate smarter AI outputs using Google Cloud’s AI and machine learning tools. Participants explore model training, fine-tuning, prompt engineering, and deployment using Vertex AI. The course covers integrating generative AI into applications, automating workflows, optimizing models for performance, and managing data securely. Hands-on labs provide real-world scenarios to build, deploy, and scale generative AI solutions efficiently on GCP. By the end, learners will confidently create AI applications with high-quality, intelligent outputs.

Target Audience

  • AI/ML engineers and data scientists working with cloud AI
  • Developers building generative AI applications
  • Cloud architects deploying AI workloads on GCP
  • Professionals seeking to optimize AI models and pipelines
  • IT professionals exploring AI automation and innovation

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