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

This instructor-led, live training in Botswana (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 Botswana (online or at your premises) targets experienced AI maintenance engineers and MLOps specialists who want to build strong ongoing learning pipelines and effective refresh strategies for models that have been deployed and fine-tuned.

Upon completing this training, participants will be capable of:

• Creating and executing ongoing learning workflows for deployed models.
• Reducing catastrophic forgetting via proper training and memory management.
• Automating monitoring and refresh triggers based on model drift or data shifts.
• Incorporating model refresh strategies into existing CI/CD and MLOps pipelines.

This instructor-led, live training in Botswana (online or onsite) is aimed at 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 Botswana (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 Botswana (online or on-site) 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 Botswana (online or onsite) is designed for intermediate to advanced professionals seeking to customise pre-trained models for distinct tasks and datasets.

Upon completion of this training, participants will be capable of:

• Grasping the fundamental principles of refinement and its applications.
• Preparing datasets for the refinement of pre-trained models.
• Refining Large Language Models (LLMs) for Natural Language Processing (NLP) tasks.
• Optimising model performance and resolving common challenges.

This instructor-led, live training in Botswana (online or onsite) targets intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for extensive computational resources.

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

• Understand the principles of Low-Rank Adaptation (LoRA).
• Implement LoRA for efficient fine-tuning of large models.
• Optimize fine-tuning for resource-constrained environments.
• Evaluate and deploy LoRA-tuned models for practical applications.

This instructor-led, live training in Botswana (online or onsite) is tailored for beginner, intermediate, and advanced developers, cloud engineers, and technical product teams who wish to utilise Google Cloud’s generative AI tools to build and evaluate practical AI applications.

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

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

This instructor-led live training, available online or on-site, is designed for intermediate to advanced professionals aiming to leverage generative AI for multimedia content creation and deployment via Vertex AI.

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

• Create images, videos, audio, and music using 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 adherence to brand standards.
• Deploy scalable, production-ready generative media solutions within enterprise environments.

Course Format

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

Customisation Options

• For tailored training arrangements, please contact us directly.

This instructor-led, live training in Botswana (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 integrate text, audio, and image data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates the creation of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced practitioners who aim to design, build, and optimise multimodal AI workflows within Vertex AI.

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

• Harness Gemini models for processing multimodal inputs and generating outputs.
• Implement workflows utilising long-context windows to support complex reasoning tasks.
• Design pipelines that effectively combine text, audio, and image analysis.
• Optimise Gemini API parameters to enhance performance and ensure cost efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on multimodal workflows.
• Project-based exercises targeting applied multimodal use cases.

Customisation Options

• To request bespoke training for this course, please contact us to make arrangements.

This instructor-led live training in Botswana (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wish to learn how to use Vertex AI to perform and complete machine learning activities.

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

• Understand how Vertex AI works 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 offers a no-code or low-code platform for developing grounded agents that merge generative models with retrieval-augmented generation (RAG). This enables teams to swiftly create agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led, live training session (available online or on-site) is tailored for intermediate practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.

Upon completion of 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 behaviour through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs utilising Vertex AI Agent Builder and RAG components.
• Project-based exercises to build and refine agents.

Customisation Options

• For a tailored training course, please contact us to arrange specifics.

Vertex AI offers simplified methods for integrating Gemini models directly into mobile and web applications through Firebase and Software Development Kits (SDKs). This empowers developers and product teams to implement AI-driven functionalities at the application level, including intelligent assistants, multimodal input processing, and tailored user experiences.

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

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

• Configure Firebase and SDKs for Vertex AI integration.
• Incorporate Gemini-powered features into mobile and web applications.
• Manage multimodal inputs, such as text, images, and audio, within client applications.
• Deploy and oversee AI functionalities in live 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.

Customization Options for the Course

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

Vertex AI equips enterprises with robust tools to manage the entire machine learning lifecycle, ensuring observability, compliance, and operational excellence. Featuring live monitoring, data residency controls, grounding capabilities, and integrated Generative AI evaluation, Vertex AI is purpose-built to meet the rigorous demands of production-grade AI systems.

This instructor-led training session, available online or onsite, is designed for intermediate to advanced professionals seeking 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 gain real-time insights into model performance.
• Apply grounding techniques and evaluation tools for Generative 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 arrange customized training for this course, please contact us to discuss your requirements.