Generative AI and Agentic AI Training Course
Generative AI and Agentic AI represent two powerful paradigms driving the next wave of automation and intelligence — one focused on content generation and the other on goal-driven, autonomous behavior.
This instructor-led, live training (online or onsite) 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 Customization Options
- To request a customized 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, summarization, 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
Upcoming Courses
Related Courses
Advanced AI Concepts with Perplexity
14 HoursThis instructor-led, live training in Taiwan (online or onsite) is aimed at advanced-level AI enthusiasts and developers who wish to leverage 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.
- Analyze 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-driven analytics platform that connects data, models insights, and generates dashboards. In enterprise settings, strong governance and security measures are essential to ensure safe and compliant adoption.
This instructor-led, live training (available online or onsite) is designed for advanced-level enterprise professionals looking to implement governance, compliance, and security patterns for WrenAI at scale.
Upon completion 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 organizations.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
InVideo AI: Creating Engaging Short-Form Videos
14 HoursThis instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level digital marketers, influencers, and brand strategists who seek to maximize audience engagement through AI-powered video content.
By the end of this training, participants will be able to:
- Understand the core capabilities and features of InVideo AI.
- Create compelling video content tailored to their specific target audience.
- Implement effective strategies to boost viewer interaction and retention.
- Analyze performance metrics to refine their video marketing strategies.
InVideo AI for Social Media
7 HoursThis instructor-led, live training in Taiwan (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:
- Utilize 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.
- Analyze and optimize video engagement using AI insights.
InVideo AI for Video Production
14 HoursThis instructor-led live training in Taiwan (online or onsite) is designed for advanced video producers, editors, and AI enthusiasts aiming to enhance their video production workflows through AI technologies.
Upon completion of this training, participants will be able to:
- Utilize 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.
- Optimize AI-powered workflows to increase productivity in video production.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to transcend static dashboards, embracing conversational analytics and embedded generative BI. Successfully navigating this transition demands thoughtful adoption planning, asset migration, and robust change management strategies.
This instructor-led, live training (available online or onsite) is designed for intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.
Upon completing this training, participants will be equipped to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Strategize and execute the migration from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI capabilities.
- Drive organizational change management efforts for BI modernization.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customization Options
- To arrange a customized training session for this course, please contact us.
Perplexity AI for Beginners
7 HoursThis instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level IT professionals who wish to understand the basics of AI and learn how to use Perplexity AI effectively.
By the end of this training, participants will be able to:
- Explain the fundamental concepts of artificial intelligence.
- Navigate and utilize the Perplexity AI platform for information discovery.
- Apply Perplexity AI in various 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 facilitates the conversion of natural language into SQL queries, empowering analytics with artificial intelligence to make data access more intuitive and rapid. To meet enterprise-grade standards, implementing rigorous quality assurance and observability practices is crucial for guaranteeing accuracy, reliability, and regulatory compliance.
This live, instructor-led training, available both online and onsite, is designed for advanced data and analytics professionals aiming to assess query accuracy, execute prompt tuning, and establish observability practices to monitor WrenAI in production environments.
Upon completing this training, participants will be capable of:
- Assessing the accuracy and reliability of natural language to SQL outputs.
- Implementing prompt tuning techniques to enhance system performance.
- Monitoring query behavior and detecting drift over time.
- Integrating WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving evaluation and tuning techniques.
- Hands-on labs focusing on observability and monitoring integrations.
Course Customization Options
- For a customized training version of this course, please reach out to us to make arrangements.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for generating SQL queries from natural language, developing custom applications, and embedding charts into internal platforms.
This instructor-led live training (available online or onsite) is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.
Upon completion of this training, participants will be able to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries based on natural language inputs.
- Create and embed charts utilizing API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that connect applications, charts, and data pipelines.
Course Customization Options
- To request a customized training session for this course, please contact us to make arrangements.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform designed to facilitate the connection of data sources, the modeling of data, and the creation of interactive dashboards.
Delivered as an instructor-led, live session (available online or on-site), this training targets beginner to intermediate-level data professionals seeking to master the setup of WrenAI Cloud, data modeling techniques, and the visualization of insights within dashboards.
Upon completing this training, participants will be equipped to:
- Establish and configure WrenAI Cloud environments.
- Integrate WrenAI Cloud with various data sources.
- Model data and define relationships to support analytics.
- Develop interactive dashboards to drive business insights.
Course Format
- Engaging lectures paired with open discussion.
- Practical, hands-on experience with cloud platform configuration and data modeling.
- Applied exercises focused on building dashboards and visualizing data.
Customization Options
- For those interested in tailored training for this course, please reach out to us to make arrangements.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model KPIs, standardize metrics, and create dashboards that align with regulatory requirements and audit standards.
This instructor-led live training (available online or onsite) targets intermediate to advanced finance professionals seeking to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
Upon completing this training, participants will be able to:
- Model financial KPIs and metrics within WrenAI.
- Build dashboards that meet regulatory and audit standards.
- Integrate WrenAI with financial data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises with financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Customization Options
- To request customized training for this course, please contact us to arrange.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative business intelligence tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.
This instructor-led live training, available online or on-site, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation.
Upon completing this training, participants will be able to:
- Implement semantic models to ensure consistent metric definitions across teams.
- Optimize text-to-SQL performance for improved accuracy and scalability.
- Configure and enforce guardrails to prevent invalid or risky queries.
- Integrate WrenAI OSS into existing data pipelines and analytics workflows.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical applications.
- Hands-on implementation within a live lab environment.
Course Customization Options
- To request a customized training session for this course, please contact us to make arrangements.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI serves as a conversational analytics platform that converts natural-language inquiries into dependable analytics, empowering non-technical teams to derive insights swiftly and consistently.
This instructor-led, live training (available online or onsite) targets intermediate-level product managers, analysts, and data champions seeking to implement conversational analytics and establish self-service BI capabilities using WrenAI.
Upon completion of this training, participants will be equipped to:
- Design conversational analytics workflows that deliver reliable product insights.
- Create and maintain a standardized metrics layer for uniform reporting.
- Effectively utilize natural-language to SQL features to address product-related questions.
- Integrate WrenAI-driven self-service dashboards and guardrails into product workflows.
Course Format
- Interactive lectures and discussions.
- Hands-on labs utilizing Wren AI and sample datasets.
- Workshop: Construct a self-service dashboard and a set of conversational queries.
Course Customization Options
- For inquiries regarding customized 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 seamlessly integrate generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the expertise to leverage the WrenAI Embedded API, configure white-label analytics solutions, 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 seeking to implement WrenAI as an embedded analytics solution within SaaS environments.
By the conclusion of this training, participants will be capable of:
- Integrating WrenAI via the Embedded API for customer-facing applications.
- Implementing white-label conversational BI with tailored branding and customization.
- Designing secure and scalable multi-tenant architectures.
- Monitoring usage, optimizing performance, and ensuring compliance within SaaS environments.
Course Format
- Interactive lectures and discussions.
- Hands-on labs utilizing the WrenAI Embedded API.
- Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.
Course Customization Options
- To request customized training for this course, please contact us to arrange.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursThe WrenAI Spreadsheets and Metrics Library facilitates rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led, live training session (available online or onsite) is designed for beginner to intermediate-level operations professionals aiming to accelerate their reporting and analytical capabilities through the use of WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be able to:
- Develop AI-enhanced spreadsheets for data analysis and reporting.
- Utilize the WrenAI Metrics Library to establish standardized key performance indicators (KPIs).
- Link spreadsheets to various data sources to ensure real-time data updates.
- Design automated workflows to streamline operational reporting processes.
Course Format
- Interactive lectures and discussions.
- Practical, hands-on exercises for building spreadsheets using WrenAI.
- Applied exercises focused on metrics and KPI reporting.
Course Customization Options
- To arrange customized training for this course, please contact us directly.