Google AI & ML
Classes on the bleeding edge of AI development for GCP
GCDL: GCP: Cloud Digital Leader
Master Google Cloud fundamentals with GCP Cloud Digital Leader certification prep. Learn cloud concepts, products, and digital transformation strategies.
GGAF: GCP: Gemini API Fundamentals
Master Google's Gemini API with hands-on GCP training. Build AI-powered applications using multimodal capabilities. Perfect for developers.
GGAS: GCP: Google AI Studio
Master Google AI Studio on GCP. Learn to build AI applications with Gemini models, prompt engineering, and API integration. Hands-on project included.
GGCAA: GCP: Google Cloud AI APIs
Master Google Cloud's AI and ML APIs. Learn Vision, Natural Language, Speech-to-Text, Translation, and AutoML to build intelligent cloud applications.
Google Cloud AI & ML Training at the Cutting Edge
Our Google Cloud AI & ML training portfolio represents the bleeding edge of artificial intelligence development on Google Cloud Platform. These courses provide hands-on experience with Google's most advanced AI technologies including Gemini (Google's multimodal AI model), Vertex AI, Google AI Studio, Duet AI for Google Cloud, and the revolutionary Project IDX—Google's AI-powered development environment that transforms how developers build intelligent applications.
Each course is designed for machine learning engineers, AI developers, data scientists, and cloud architects who want to leverage Google's world-class AI infrastructure. You'll gain expertise in building production-ready generative AI applications, fine-tuning large language models, implementing RAG (Retrieval-Augmented Generation) architectures, deploying ML models at scale with Vertex AI, and utilizing Google's AI-powered development tools including Duet AI code assistance and Project IDX for accelerated AI application development.
Beyond standard Google Cloud training, Opsgility specializes in custom AI/ML workshop development tailored to your organization's specific use cases, industry vertical, and data science maturity. We also deliver Google Cloud AI hackathons that immerse your team in real-world machine learning challenges, from computer vision and natural language processing to recommendation systems and predictive analytics—all leveraging Google's cutting-edge AI platform.
Expert-led Google Cloud AI training with hands-on labs using Vertex AI, Gemini, and Google AI Studio
Flexible Private Training Delivery
Every Google Cloud AI & ML course in our catalog can be privately delivered to your team through your preferred format:
- In-Person Training: Instructor-led sessions at your facility or our training centers, ideal for intensive ML model development, collaborative experimentation, and hands-on Vertex AI deployment
- Virtual Instructor-Led: Live online training with full interactivity, Google Cloud AI platform access, and real-time instructor guidance through complex ML pipelines and model optimization
- Hybrid Delivery: Combine in-person and virtual sessions to accommodate distributed data science teams and balance theoretical ML foundations with practical Google Cloud AI implementation
All private deliveries include customized Google Cloud AI environments, dedicated Vertex AI workbenches, access to Google AI Studio and Gemini models, and the ability to adapt training scenarios to your organization's specific ML use cases, datasets, and business objectives. Your team will work with real Google Cloud AI tools and services used by industry leaders.
The Value of Google Cloud AI & ML Certifications
Lead the AI Revolution
Google Cloud AI certifications position you at the forefront of the generative AI revolution. As organizations adopt Gemini, Vertex AI, and advanced ML capabilities, certified professionals are in exceptional demand for roles in AI engineering, ML operations, and data science leadership across industries.
Enterprise ML Expertise
Google Cloud AI certifications validate your ability to build production-grade machine learning solutions using Google's comprehensive AI platform. They demonstrate proficiency in Vertex AI pipelines, MLOps best practices, model deployment strategies, and enterprise-scale AI system architecture.
Responsible AI Development
Google Cloud AI certifications emphasize responsible AI principles, fairness, transparency, and ethical ML practices. Certified professionals understand how to build AI systems with bias detection, explainability features, and governance frameworks that meet regulatory requirements and societal expectations.
Next-Generation AI Tools
Google Cloud AI certifications keep you current with breakthrough technologies like Gemini multimodal AI, Vertex AI AutoML, Google AI Studio, Duet AI code assistance, and Project IDX. Google continuously evolves its AI platform, ensuring certified professionals maintain cutting-edge skills in the rapidly advancing field of artificial intelligence.