Advanced Fine-Tuning & Prompt Management in Vertex AI Training Course

Delivered by an instructor in a live format (available online or onsite), this programme is designed for seasoned machine learning professionals aiming to master state-of-the-art transfer learning techniques and apply them to intricate real-world scenarios.

Upon completion of this training, participants will be equipped to:

• Grasp advanced concepts and methodologies in transfer learning.
• Deploy domain-specific adaptation techniques for pre-trained models.
• Utilise continual learning to handle evolving tasks and datasets.
• Master multi-task fine-tuning to boost model performance across various tasks.

This instructor-led, live training in Kenya (online or onsite) targets advanced AI maintenance engineers and MLOps professionals who aim to establish resilient ongoing learning pipelines and effective revision strategies for deployed, fine-tuned models.

Upon completing this training, participants will be capable of:

• Designing and executing ongoing learning workflows for deployed models.
• Reducing catastrophic forgetting through appropriate training and memory management techniques.
• Automating monitoring and update triggers in response to model drift or data changes.
• Incorporating model revision strategies into existing CI/CD and MLOps pipelines.

This instructor-led live training in Kenya (online or on-site) is designed for intermediate-level developers, data scientists, and tech professionals aiming to leverage Google Vertex AI for creating and deploying custom AI models.

By the conclusion of this training, participants will be able to:

• Understand the capabilities and features of Google Vertex AI.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models using Vertex AI.
• Deploy and manage AI models on Google Cloud Platform.
• Utilize Vertex AI's tools for monitoring and optimizing model performance.
• Implement best practices for AI model development and deployment.

This instructor-led, live training in Kenya (online or on-site) is designed for advanced professionals seeking to deploy fine-tuned models reliably and efficiently.

Upon completion of this training, participants will be able to:

• Understand the challenges of deploying fine-tuned models into production.
• Containerize and deploy models using tools like Docker and Kubernetes.
• Implement monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

This instructor-led live training Kenya (online or onsite) is aimed at intermediate-level professionals who wish to gain practical skills in customizing AI models for critical financial tasks.

By the end of this training, participants will be able to:

• Understand the fundamentals of fine-tuning for finance applications.
• Leverage pre-trained models for domain-specific tasks in finance.
• Apply techniques for fraud detection, risk assessment, and financial advice generation.
• Ensure compliance with financial regulations such as GDPR and SOX.
• Implement data security and ethical AI practices in financial applications.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate to advanced-level professionals seeking to customize pre-trained models for specific tasks and datasets.

By the end of this training, participants will be able to:

• Grasp the principles of model refinement and its real-world applications.
• Prepare datasets effectively for refining pre-trained models.
• Refine Large Language Models (LLMs) for Natural Language Processing (NLP) tasks.
• Optimize model performance and navigate common challenges.

This instructor-led live training in Kenya (online or onsite) is designed for intermediate developers and AI practitioners aiming to implement fine-tuning strategies for large models without the need for extensive computational resources.

Upon completing this training, participants will be equipped to:

• Comprehend the foundational principles of Low-Rank Adaptation (LoRA).
• Apply LoRA for the efficient fine-tuning of large models.
• Enhance fine-tuning processes for resource-constrained settings.
• Assess and deploy LoRA-optimized models for real-world applications.

This instructor-led, live training in Kenya (online or in-person) is aimed at beginner-level, intermediate-level, and advanced-level developers, cloud engineers, and technical product teams who wish to use Google Cloud generative AI tools to build and evaluate practical AI applications.

By the end of this training, participants will be able to: understand Google Cloud generative AI services, create prompts and workflows, build simple applications with Vertex AI, and apply responsible AI practices.

Vertex AI serves as a consolidated platform for generative media, featuring powerful models such as Veo for video production, Imagen for image creation, Chirp for speech synthesis, and Lyria for music composition. These tools facilitate the development of production-grade workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available both online and on-site, targets intermediate to advanced professionals eager to leverage generative AI for the creation and deployment of multimedia content using Vertex AI.

Upon completion of this training, participants will be able to:

• Create images, videos, audio, and music utilizing Vertex AI's comprehensive suite of models.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and brand consistency.
• Deploy enterprise-ready generative media solutions in professional environments.

Course Format

• Interactive lectures and discussions.
• Practical exercises using Vertex AI generative media models.
• Real-world case studies and creative project labs.

Customization Options

• To request a customized version of this course, please contact us to arrange.

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, use tools, and work with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly merge text, audio, and image data into a unified pipeline. By leveraging long context window capabilities and Gemini API parameters, it empowers the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced practitioners seeking to design, build, and optimize multimodal AI workflows within Vertex AI.

Upon completion of this training, participants will be able to:

• Harness Gemini models to handle multimodal inputs and outputs effectively.
• Develop long-context workflows capable of handling complex reasoning tasks.
• Architect pipelines that integrate text, audio, and image analysis.
• Tune Gemini API parameters to enhance performance while ensuring cost efficiency.

Format of the Course

• Interactive lectures and discussions.
• Practical hands-on labs featuring multimodal workflows.
• Project-based exercises applied to real-world multimodal use cases.

Course Customization Options

• For tailored training requests regarding this course, please get in touch to make arrangements.

This instructor-led live training in Kenya (available online or onsite) is designed for software engineers at beginner to intermediate levels, as well as anyone interested in learning how to utilize Vertex AI for machine learning activities.

By the end of this training, participants will be able to:

• Understand how Vertex AI operates and leverage it as a machine learning platform.
• Learn about fundamental machine learning and natural language processing (NLP) concepts.
• Understand the process of training and deploying machine learning models using Vertex AI.

Vertex AI Agent Builder offers a no-code and low-code platform for developing grounded agents that merge generative models with retrieval-augmented generation (RAG). This capability enables teams to quickly construct agents that leverage enterprise data and search functionalities to deliver accurate, context-sensitive responses.

This instructor-led live training, available either online or onsite, targets intermediate practitioners aiming to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder alongside RAG methodologies.

Upon completing this training, participants will be equipped to:

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines incorporating search and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Evaluate and refine agent behavior through testing and key metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs focused on Vertex AI Agent Builder and RAG components.
• Project-based exercises to construct and enhance agents.

Customization Options

• For customized training requirements, please contact us to arrange.

Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This empowers developers and product teams to deliver AI-driven features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate practitioners who wish to embed Vertex AI Gemini capabilities into applications using Firebase and related SDKs.

By the end of this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web apps.
• Manage multimodal inputs such as text, images, and audio in client applications.
• Deploy and monitor AI features within production applications.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilizing Firebase and Vertex AI SDKs.
• Project-based exercises focused on app-level AI features.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Vertex AI offers enterprise-grade tools designed to manage the entire machine learning lifecycle, encompassing observability, compliance, and operational excellence. By leveraging live monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is built to satisfy the rigorous demands of production-level AI systems.

This instructor-led live training, available either online or on-site, targets intermediate to advanced professionals aiming to deploy, monitor, and govern Vertex AI models within enterprise settings.

Upon completion of this training, participants will be equipped to:

• Establish MLOps pipelines utilizing Vertex AI.
• Monitor and observe model performance with real-time insights.
• Apply grounding techniques and evaluation tools specifically for Gen AI models.
• Implement robust compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring enterprise-grade Vertex AI tools.
• Case studies and compliance-focused scenarios.

Customization Options

• For those seeking a customized training experience for this course, please reach out to us to make arrangements.