DeepSeek: Advanced Model Optimization and Deployment Training Course

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers, data engineers, and software teams seeking to implement DeepSeek Coder for AI-assisted software development, automation, and optimisation.

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

• Implement AI-assisted code generation and refactoring in large-scale projects.
• Leverage AI-powered debugging to enhance software reliability.
• Integrate DeepSeek Coder into DevOps and CI/CD pipelines.
• Use AI for intelligent automation within software engineering workflows.

This instructor-led, live training in New Zealand (online or on-site) is designed for advanced-level AI engineers, developers, and data analysts who wish to master prompt engineering strategies to maximise the effectiveness of DeepSeek LLM in real-world applications.

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

• Craft advanced prompts to optimise AI responses.
• Control and refine AI-generated text for accuracy and consistency.
• Leverage prompt chaining and context management techniques.
• Mitigate biases and enhance ethical AI usage in prompt engineering.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level to advanced-level architects, urban planners, and design professionals who wish to integrate AI into their design process, from conceptualisation to final deliverables.

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

• Generate design iterations using AI-powered text-to-video and image generation tools.
• Use AI to create floor plans, sections, elevations, and material selections.
• Ensure compliance with regulations using AI-driven design validation.
• Integrate AI workflows into Revit and other rendering tools.

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate-level developers, software engineers, and data scientists who want to harness DeepSeek APIs to build AI-powered applications.

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

• Understand the capabilities of DeepSeek APIs.
• Integrate DeepSeek APIs into applications.
• Implement AI-powered automation and chatbots.
• Optimise API performance and manage API calls effectively.

This instructor-led, live training in New Zealand (online or on-site) is designed for advanced-level AI architects, enterprise developers, and CTOs who aim to deploy, optimise, and scale DeepSeek models within business environments while upholding security, compliance, and ethical AI standards.

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

• Deploy DeepSeek models in enterprise environments.
• Optimise AI models for performance and scalability.
• Ensure data security and compliance in AI applications.
• Implement ethical AI practices in business solutions.

This instructor-led, live training in New Zealand (delivered online or on-site) is tailored for advanced-level AI engineers, robotics developers, and automation specialists who wish to harness DeepSeek to build intelligent AI agents and autonomous systems.

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

• Understand the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents to support decision-making and automation.
• Apply reinforcement learning techniques to train autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level sustainability professionals, researchers, and AI developers who wish to use DeepSeek to apply AI-driven analysis for sustainability, predictive modelling for climate action, and responsible AI applications for social good.

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

• Use DeepSeek models for sustainability-related data analysis.
• Apply AI for climate change modelling, resource optimisation, and biodiversity monitoring.
• Develop AI-driven solutions for social impact and sustainable development goals (SDGs).
• Ensure responsible AI practices in sustainability applications.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level content creators, marketers, and media professionals who wish to leverage DeepSeek for AI-assisted writing, automated media generation, and content production workflows.

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

• Generate high-quality text content using DeepSeek models.
• Automate content creation workflows for blogs, social media, and marketing campaigns.
• Integrate AI tools into existing content management systems.
• Enhance creativity and efficiency with AI-driven ideation and structuring.

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate-level business analysts, managers, and decision-makers who wish to harness DeepSeek for predictive modelling, data visualisation, and strategic decision-making.

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

• Use DeepSeek to analyse business data and generate actionable insights.
• Apply predictive modelling techniques for business forecasting.
• Automate reporting and business intelligence workflows.
• Enhance decision-making through AI-powered analytics.

This instructor-led, live training in New Zealand (online or on-site) is aimed at beginner-level non-technical professionals and entrepreneurs who wish to leverage DeepSeek's open-source models for content creation, automation, and business intelligence.

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

• Understand the fundamentals of no-code AI and its applications in business.
• Use DeepSeek models for content generation and automation.
• Integrate AI tools into existing workflows using platforms like Zapier, Make and Notion.
• Analyse business data and generate actionable insights using AI.
• Develop AI-driven strategies to improve productivity and decision-making.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.

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

• Understand the capabilities and limitations of DeepSeek Coder.
• Generate high-quality code snippets using AI assistance.
• Utilise DeepSeek Coder for debugging and optimising code.
• Automate repetitive programming tasks using AI tools.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner-level professionals who wish to implement DeepSeek AI for customer support automation.

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

• Integrate DeepSeek AI into chatbot systems.
• Automate customer support responses using AI.
• Analyse and improve customer interactions with AI-driven insights.
• Optimise chatbot workflows to deliver a better user experience.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level cybersecurity professionals who wish to leverage DeepSeek for advanced threat detection and automation.

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

• Utilise DeepSeek AI for real-time threat detection and analysis.
• Implement AI-driven anomaly detection techniques.
• Automate security monitoring and response using DeepSeek.
• Integrate DeepSeek into existing cybersecurity frameworks.

Kubeflow is an open-source platform designed to streamline building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to build reliable ML workflows using Kubeflow.

Upon completion of this training, attendees will gain the skills to:

• Navigate the Kubeflow ecosystem and core components.
• Build reproducible workflows with Kubeflow Pipelines.
• Run scalable training jobs on Kubernetes.
• Serve machine learning models efficiently using Kubeflow Serving.

Course Format

• Guided presentations and collaborative discussions.
• Hands-on labs using real Kubeflow components.
• Practical exercises to build end-to-end ML workflows.

Course Customisation Options

• Customised versions of this training can be arranged to align with your team’s technology stack and project requirements.

This instructor-led, live training in New Zealand (online or on-site) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

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

• Install and configure Kubeflow both on-premises and in the cloud.
• Build, deploy, and manage ML workflows using Docker containers and Kubernetes.
• Execute complete machine learning pipelines across diverse architectures and cloud environments.
• Use Kubeflow to launch and manage Jupyter notebooks.
• Construct ML training, hyperparameter tuning, and serving workloads across multiple platforms.