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

This instructor-led, live training in Nigeria (online or onsite) is aimed at advanced-level machine learning professionals who wish to master cutting-edge transfer learning techniques and apply them to complex real-world problems.

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

• Understand advanced concepts and methodologies in transfer learning.
• Implement domain-specific adaptation techniques for pre-trained models.
• Apply continual learning to manage evolving tasks and datasets.
• Master multi-task fine-tuning to enhance model performance across tasks.

This instructor-led, live training in Nigeria (online or onsite) is designed for advanced-level AI maintenance engineers and MLOps professionals who aim to implement robust continuous learning pipelines and effective update strategies for deployed, fine-tuned models.

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

• Design and implement continuous learning workflows for deployed models.
• Mitigate catastrophic forgetting through proper training and memory management.
• Automate monitoring and update triggers based on model drift or data changes.
• Integrate model update strategies into existing CI/CD and MLOps pipelines.

This instructor-led live training in Nigeria (online or onsite) targets intermediate-level developers, data scientists, and tech professionals who wish to leverage Google Vertex AI for creating and deploying custom AI models.

By the end 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 Nigeria (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently.

By the end 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 in Nigeria (online or onsite) is designed for 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 Nigeria (online or onsite) is designed for intermediate to advanced-level professionals who want to customize pre-trained models for specific tasks and datasets.

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

• Understand the principles of fine-tuning and its applications.
• Prepare datasets for fine-tuning pre-trained models.
• Fine-tune large language models (LLMs) for NLP tasks.
• Optimize model performance and address common challenges.

This instructor-led, live training in Nigeria (online or on-site) is designed for intermediate-level developers and AI practitioners who aim to apply fine-tuning strategies to large models without the burden of extensive computational resources.

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

• Comprehend the core principles of Low-Rank Adaptation (LoRA).
• Utilize LoRA for the efficient fine-tuning of large models.
• Refine fine-tuning processes for environments with limited resources.
• Evaluate and roll out LoRA-tuned models for practical use cases.

This instructor-led, live training in Nigeria (online or onsite) targets beginner-level, intermediate-level, and advanced-level developers, cloud engineers, and technical product teams who wish to utilize 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 offers a consolidated platform for generative media, featuring powerful models such as Veo for video, Imagen for image generation, Chirp for speech, and Lyria for music. These tools empower organisations to build robust, production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced professionals eager to leverage generative AI for creating and deploying multimedia content via Vertex AI.

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

• Create images, videos, audio, and music using Vertex AI’s comprehensive model suite.
• Seamlessly integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and brand consistency.
• Deploy scalable, production-ready generative media solutions within enterprise environments.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Nigeria (online or on-site) is aimed at beginner, intermediate, and advanced 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 equips practitioners with robust tools to construct multimodal LLM workflows, seamlessly integrating text, audio, and image data into a unified pipeline. By leveraging long context window capabilities and Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available either online or onsite, targets intermediate to advanced practitioners eager to design, build, and optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models for handling both multimodal inputs and outputs.
• Construct long-context workflows tailored for complex reasoning tasks.
• Design pipelines that effectively combine text, audio, and image analysis.
• Optimize Gemini API parameters to enhance performance and cost-efficiency.

Course Format

• Interactive lectures paired with discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises applied to real-world multimodal use cases.

Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

This instructor-led live training in Nigeria (online or onsite) is designed for beginner to intermediate-level software engineers or individuals who wish to learn how to leverage Vertex AI for performing and completing machine learning activities.

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

• Understand the workings of Vertex AI and use it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder serves as a no-code and low-code platform designed for crafting grounded agents. It merges generative models with Retrieval-Augmented Generation (RAG) techniques, empowering teams to swiftly develop agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This live training session, conducted by an instructor and available online or onsite, targets intermediate-level professionals seeking to design, configure, and deploy smart agents utilizing Vertex AI Agent Builder alongside RAG methodologies.

Upon completion of this training, participants will gain the ability to:

• Design grounded agent workflows via Agent Builder.
• Establish RAG pipelines incorporating search and vector storage.
• Securely integrate enterprise data sources for effective retrieval.
• Assess and refine agent performance through testing and key metrics.

Course Format

• Engaging lectures and group discussions.
• Practical labs focusing on Vertex AI Agent Builder and RAG components.
• Project-based activities to construct and enhance agents.

Customization Options for the Course

• For bespoke training arrangements tailored to this course, kindly reach out to us.

Vertex AI offers streamlined integration pathways 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 application level, including intelligent assistants, multimodal input processing, and personalized user experiences.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level practitioners who aim to incorporate Vertex AI Gemini capabilities into their applications using Firebase and associated SDKs.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

• To request a customized version of this training, please contact us to make arrangements.

Vertex AI offers enterprise-grade solutions for overseeing the entire machine learning lifecycle, encompassing observability, compliance, and operational excellence. Featuring real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the requirements of production-level AI systems.

This instructor-led live training (available online or on-site) targets intermediate to advanced professionals looking to deploy, monitor, and govern Vertex AI models within enterprise environments.

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

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

Course Format

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

Customization Options

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