Generative AI and Agentic AI Training Course
Generative AI and Agentic AI are two powerful paradigms driving the next wave of automation and intelligence — one focused on content generation and the other on goal-driven, autonomous behaviour.
This instructor-led, live training (online or on-site) is aimed at intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications.
By the end of this training, participants will be able to:
- Understand the architecture and capabilities of generative AI systems.
- Explore the rise of autonomous AI agents and how they extend LLMs.
- Use prompt engineering and tool integrations for practical deployments.
- Compare models, tools, and techniques for responsible deployment.
Format of the Course
- Interactive lecture and discussion.
- Hands-on use of generative and agentic AI tools in real-world scenarios.
- Guided exercises focused on content generation and autonomous workflows.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
Course Outline
Introduction to Generative AI and Agentic AI
- What is Generative AI? What is Agentic AI?
- How they differ and complement each other
- Use cases and trends across industries
Generative AI Architecture and Tools
- Transformer models: GPT, LLaMA, Claude, and others
- Fine-tuning vs. in-context learning
- Tools: ChatGPT, Hugging Face Transformers, Google AI Studio
Prompt Engineering for Control and Structure
- Prompt patterns for writing, coding, summarisation, etc.
- Few-shot, zero-shot, and chain-of-thought prompting
- Using prompt libraries and testing tools
Understanding Agentic AI
- Definition and evolution of agentic AI
- Architectures: planning, memory, tools, self-reflection
- Popular frameworks: AutoGPT, BabyAGI, CrewAI, LangGraph
Designing and Deploying Autonomous Agents
- Goal setting and task decomposition
- Integrating tools and APIs (search, memory, code)
- Multi-agent coordination and human-in-the-loop supervision
Use Cases and Implementation Scenarios
- Content generation vs. task orchestration
- Enterprise productivity, customer support, data extraction
- Responsible and secure implementation
Summary and Next Steps
Requirements
- An understanding of AI and machine learning concepts
- Experience working with APIs or scripting languages such as Python
- Familiarity with prompt engineering or large language model usage
Audience
- AI developers and engineers
- Innovation and R&D teams
- Technical product managers exploring agentic AI systems
Open Training Courses require 5+ participants.
Generative AI and Agentic AI Training Course - Booking
Generative AI and Agentic AI Training Course - Enquiry
Generative AI and Agentic AI - Consultancy Enquiry
Provisional Upcoming Courses (Require 5+ participants)
Related Courses
Advanced AI Concepts with Perplexity
14 HoursThis instructor-led, live training in New Zealand (delivered online or on-site) is aimed at advanced-level AI enthusiasts and developers who wish to utilise Perplexity AI for complex problem-solving and research.
By the end of this training, participants will be able to:
- Implement advanced AI techniques using Perplexity AI.
- Analyse complex datasets and extract valuable insights.
- Apply AI concepts to real-world problem-solving.
- Integrate Perplexity AI with existing AI workflows.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-powered analytics platform designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.
This instructor-led, live training (online or on-site) is aimed at advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.
By the end of this training, participants will be able to:
- Design and implement permissioning models in WrenAI.
- Apply auditability and monitoring practices for compliance.
- Set up secure environments with enterprise-level controls.
- Roll out WrenAI safely across large organisations.
Course Format
- Interactive lectures and discussions.
- Hands-on labs focused on governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
InVideo AI: Creating Engaging Short-Form Videos
14 HoursThis instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level digital marketers, influencers, and brand strategists who aim to maximise audience engagement through AI-powered video content.
By the end of this training, participants will be able to:
- Understand the capabilities and features of InVideo AI.
- Create compelling video content tailored to their target audience.
- Implement strategies to boost viewer interaction and retention.
- Analyse performance metrics to refine video marketing strategies.
InVideo AI for Social Media
7 HoursThis instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level social media managers, content creators, and marketing professionals who wish to harness the power of InVideo AI for producing compelling video content for social media platforms.
By the end of this training, participants will be able to:
- Utilise InVideo AI to transform text into engaging video content.
- Navigate and make the most of InVideo's AI-driven video creation platform.
- Enhance social media strategies with AI-generated video content.
- Analyse and optimise video engagement using AI insights.
InVideo AI for Video Production
14 HoursThis instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level video producers, editors, and AI enthusiasts who wish to use AI technologies to enhance their video production workflows.
By the end of this training, participants will be able to:
- Utilise InVideo’s AI tools to streamline video editing processes.
- Implement AI-driven techniques for automated video content creation.
- Create professional-quality videos using AI-based templates.
- Optimise AI-powered workflows for increased productivity in video production.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI enables organisations to move beyond static dashboards toward conversational analytics and embedded generative BI. This transition requires careful adoption planning, migration of assets, and effective change management practices.
This instructor-led, live training (online or onsite) is aimed at intermediate-level BI and data platform professionals who wish to modernise legacy BI systems with WrenAI.
By the end of this training, participants will be able to:
- Evaluate legacy BI environments and identify modernisation opportunities.
- Plan and execute migrations from static dashboards to WrenAI.
- Adopt conversational analytics and embedded GenBI capabilities.
- Lead organisational change management for BI modernisation.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with migration and adoption planning.
- Practical labs on conversational analytics and embedded GenBI.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
Perplexity AI for Beginners
7 HoursThis instructor-led, live training in New Zealand (online or on-site) is designed for IT professionals at the beginner level who wish to grasp the fundamentals of AI and learn how to use Perplexity AI effectively.
By the end of this training, participants will be able to:
- Explain the core concepts of artificial intelligence.
- Navigate and make the most of the Perplexity AI platform for information discovery.
- Apply Perplexity AI in a range of real-world scenarios.
- Understand the ethical considerations and societal impacts of AI technologies.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI enables natural language to SQL generation and AI-powered analytics, making data access faster and more intuitive. For enterprise-grade use, quality assurance and observability practices are essential to ensure accuracy, reliability, and compliance.
This instructor-led, live training (online or onsite) is aimed at advanced-level data and analytics professionals who wish to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production.
By the end of this training, participants will be able to:
- Evaluate the accuracy and reliability of NL to SQL outputs.
- Apply prompt tuning techniques to improve performance.
- Monitor drift and query behaviour across time.
- Instrument WrenAI with logging and observability frameworks.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with evaluation and tuning techniques.
- Practical labs on observability and monitoring integrations.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API provides a powerful interface for generating SQL queries from natural language, developing custom applications, and integrating charts into internal platforms.
This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers who want to leverage the WrenAI API for practical use cases, including SQL generation, data visualisation, and application integration.
By the end of this training, participants will be able to:
- Authenticate and connect applications to the WrenAI API.
- Generate SQL queries from natural language inputs.
- Create and embed charts using API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussion sessions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that connect applications, charts, and data pipelines.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a modern platform for connecting data sources, modelling data, and building interactive dashboards.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualise insights in dashboards.
By the end of this training, participants will be able to:
- Set up and configure WrenAI Cloud environments.
- Connect WrenAI Cloud to multiple data sources.
- Model data and define relationships for analytics.
- Create interactive dashboards for business insights.
Format of the Course
- Interactive lecture and discussion.
- Hands-on cloud platform configuration and data modelling.
- Practical exercises in dashboard building and visualisation.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardised metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level finance professionals seeking to leverage WrenAI to build compliant financial data models and dashboards that support strategic decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics using WrenAI.
- Develop dashboards that meet regulatory and audit requirements.
- Integrate WrenAI with finance data sources for real-time reporting.
- Apply best practices in financial analytics and risk monitoring.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises using financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Course Customisation Options
- To request a customised version of this training, please contact us to arrange.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modelling.
This instructor-led, live training (online or on-site) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure reliable SQL generation.
By the end of this training, participants will be able to:
- Implement semantic models for consistent metric definitions across teams.
- Optimise text-to-SQL performance for accuracy and scalability.
- Configure and enforce guardrails to avoid invalid or risky queries.
- Integrate WrenAI OSS into data pipelines and analytics workflows.
Course Format
- Interactive lecture and discussion.
- Numerous exercises and practice opportunities.
- Hands-on implementation in a live-lab environment.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.
This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.
By the end of this training, participants will be able to:
- Design conversational analytics workflows that surface reliable product insights.
- Create and maintain a standardised metrics layer for consistent reporting.
- Use natural-language to SQL features effectively to answer product questions.
- Embed WrenAI-driven self-service dashboards and guardrails in product workflows.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with Wren AI and sample datasets.
- Workshop: build a self-service dashboard and conversational query set.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI empowers SaaS providers to embed generative business intelligence (GenBI) directly within their customer-facing products. This course provides SaaS teams with the necessary skills to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to implement WrenAI as an embedded analytics solution in SaaS environments.
Upon completion of this training, participants will be able to:
- Integrate WrenAI into customer-facing applications using the Embedded API.
- Implement white-label conversational BI, complete with branding and customisation.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimise performance, and ensure compliance within SaaS environments.
Course Format
- Interactive lectures and discussions.
- Hands-on labs utilising the WrenAI Embedded API.
- Workshop: Design and deploy a white-label analytics feature for a SaaS use case.
Course Customisation Options
- To request customised training for this course, please contact us to arrange.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and the Metrics Library enable rapid reporting through AI-driven spreadsheet workflows and a comprehensive collection of pre-built, cross-platform business metrics.
This instructor-led, live training (available online or on-site) is designed for operations professionals at beginner to intermediate levels who aim to accelerate their reporting and analysis capabilities using WrenAI Spreadsheets and the Metrics Library.
By the conclusion of this training, participants will be able to:
- Construct AI-powered spreadsheets for data analysis and reporting.
- Utilise the WrenAI Metrics Library for standardised KPIs.
- Connect spreadsheets to multiple data sources to enable live updates.
- Develop automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Hands-on spreadsheet development using WrenAI.
- Practical exercises focused on metrics and KPI reporting.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.