Generative AI and Agentic AI Training Course
Generative AI and Agentic AI represent two influential paradigms propelling the next generation of automation and intelligence. One focuses on creating content, while the other emphasizes goal-oriented, autonomous behavior.
This instructor-led, live training (available online or onsite) is designed for intermediate-level AI and technical professionals seeking to understand how to build, evaluate, and integrate generative and agentic AI into practical applications.
Upon completing this training, participants will be able to:
- Grasp the architecture and capabilities of generative AI systems.
- Explore the emergence of autonomous AI agents and their extension of Large Language Models (LLMs).
- Apply prompt engineering and tool integrations for practical deployments.
- Compare models, tools, and techniques to ensure responsible deployment.
Course Format
- Interactive lectures and discussions.
- Hands-on experience with generative and agentic AI tools in real-world scenarios.
- Guided exercises focused on content generation and autonomous workflows.
Course Customization Options
- To request 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
- A foundational understanding of AI and machine learning concepts.
- Experience working with APIs or scripting languages such as Python.
- Familiarity with prompt engineering or the usage of large language models.
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 Serbia (online or onsite) targets 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 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 onsite) 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 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 Serbia (online or onsite) is designed for intermediate-level digital marketers, influencers, and brand strategists looking to maximize audience engagement through AI-powered video content.
By the end of this training, participants will be able to:
- Understand the features and capabilities of InVideo AI.
- Create compelling video content tailored to their target audience.
- Implement strategies to increase viewer interaction and retention.
- Analyze performance metrics to refine video marketing strategies.
InVideo AI for Social Media
7 HoursThis instructor-led live training in Serbia (online or on-site) is tailored for beginner-level social media managers, content creators, and marketing professionals who wish to leverage InVideo AI to produce compelling video content for social media platforms.
Upon completing this training, participants will be able to:
- Use InVideo AI to convert text into captivating video content.
- Navigate and maximize the capabilities of InVideo's AI-driven video creation platform.
- Strengthen social media strategies by incorporating AI-generated video content.
- Analyze and enhance video engagement using AI-generated insights.
InVideo AI for Video Production
14 HoursThis instructor-led, live training in Serbia (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:
- 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 for increased productivity in video production.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to transition from rigid, static dashboards to dynamic conversational analytics and embedded generative BI. Successfully navigating this shift demands meticulous adoption planning, asset migration, and robust change management strategies.
This live, instructor-led training—available both online and onsite—is designed for intermediate-level BI and data platform professionals seeking to modernize their existing BI infrastructure using WrenAI.
Upon completion of this training, participants will be equipped to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Strategize and implement the migration from static dashboards to WrenAI.
- Integrate conversational analytics and embedded GenBI functionalities.
- Drive organizational change management initiatives for BI modernization.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customization Options
- For tailored training solutions, please reach out to us to arrange.
Perplexity AI for Beginners
7 HoursThis live, instructor-led training in Serbia (online or on-site) is designed for beginner-level IT professionals who want to grasp the fundamentals of AI and learn to use Perplexity AI effectively.
Upon completing this training, participants will be able to:
- Explain the core concepts of artificial intelligence.
- Navigate and leverage 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 and provides AI-driven analytics, streamlining data access and enhancing intuitiveness. For enterprise-grade applications, robust quality assurance and observability protocols are critical to maintaining accuracy, reliability, and regulatory compliance.
This instructor-led live training, available online or onsite, is designed for advanced data and analytics professionals. Participants will learn how to assess query accuracy, implement prompt tuning strategies, and deploy observability practices to monitor WrenAI effectively in production environments.
Upon completing this training, participants will be equipped to:
- Assess the accuracy and reliability of natural language to SQL outputs.
- Utilize prompt tuning techniques to enhance system performance.
- Monitor for drift and analyze query behavior over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focused on evaluation and tuning methodologies.
- Hands-on labs covering observability and monitoring integrations.
Customization Options
- To request customized training for this course, please contact us to arrange details.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface designed to translate natural language into SQL queries, facilitate the creation of custom applications, and embed visualizations into internal platforms.
This instructor-led live training, available both online and onsite, targets intermediate-level engineers aiming to leverage the WrenAI API for practical implementations, including SQL generation, data visualization, and application integration.
Upon completing this training, participants will be equipped to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries based on natural language inputs.
- Design and embed charts using API endpoints.
- Integrate WrenAI capabilities into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving API calls and integrations.
- Real-world projects linking applications, charts, and data pipelines.
Customization Options
- To request a tailored version of this course, please contact us to arrange details.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform designed to link data sources, structure data, and develop interactive dashboards.
This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals eager to master the setup of WrenAI Cloud, model data, and visualize insights within dashboards.
Upon completion of this training, participants will be capable of:
- Setting up and configuring WrenAI Cloud environments.
- Connecting WrenAI Cloud to various data sources.
- Modeling data and defining relationships for analytical purposes.
- Creating interactive dashboards to derive business insights.
Course Format
- Interactive lectures and discussions.
- Hands-on configuration of the cloud platform and data modeling.
- Practical exercises focused on dashboard creation and visualization.
Customization Options
- To request tailored training for this course, please contact us for arrangements.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and create dashboards that align with regulatory requirements and audit standards.
This instructor-led live training, available online or onsite, is designed for intermediate to advanced finance professionals seeking to utilize WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
Upon completion of this training, participants will be able to:
- Model financial KPIs and metrics in WrenAI.
- Construct dashboards that comply with regulatory and audit requirements.
- Integrate WrenAI with finance 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 on dashboard design and compliance reporting.
Course Customization Options
- To request a customized training version of 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 BI tool that enables natural language to SQL conversion and semantic data modeling.
This instructor-led, live training (online or onsite) 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.
Upon completion of this training, participants will be able to:
- Implement semantic models for consistent metric definitions across teams.
- Optimize 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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI serves as a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to rapidly and consistently derive insights.
This live, instructor-led training (available online or onsite) targets intermediate product managers, analysts, and data champions looking to adopt conversational analytics and establish self-service BI capabilities using WrenAI.
Upon completion of this training, participants will be able to:
- Design conversational analytics workflows that surface reliable product insights.
- Create and maintain a standardized metrics layer for consistent reporting.
- Effectively utilize natural-language to SQL features to answer product-related questions.
- Embed WrenAI-driven self-service dashboards and guardrails into 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 Customization Options
- To request a 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 embed generative business intelligence (GenBI) directly into their customer-facing applications. This course provides SaaS teams with the expertise needed to integrate Wren AI via its Embedded API, set up white-label analytics, and manage multi-tenant environments effectively.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within SaaS ecosystems.
By the end of this training, participants will be able to:
- Integrate WrenAI using the Embedded API for customer-facing applications.
- Implement white-label conversational BI with branding and customization.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance in SaaS environments.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs using WrenAI Embedded API.
- Workshop: design and deploy a white-label analytics feature for a SaaS use case.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led live training (available online or onsite) is designed for beginner to intermediate operations professionals aiming to accelerate their reporting and analysis processes using WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be equipped to:
- Develop AI-enhanced spreadsheets for data analysis and reporting.
- Utilize the WrenAI Metrics Library to establish standardized KPIs.
- Link spreadsheets to various data sources for real-time updates.
- Develop automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Practical, hands-on experience building spreadsheets with WrenAI.
- Applied exercises focused on metrics and KPI reporting.
Customization Options
- To request a tailored training version of this course, please contact us to arrange details.