Generative AI and Agentic AI Training Course
Generative AI and Agentic AI represent two dynamic paradigms propelling the next era of automation and intelligence—one centered on content creation, and the other on autonomous, goal-oriented behavior.
This instructor-led live training, available online or onsite, targets intermediate-level AI professionals and technical experts seeking to learn how to build, assess, and integrate generative and agentic AI solutions into practical applications.
Upon completing this training, participants will be equipped to:
- Grasp the architecture and capabilities of generative AI systems.
- Investigate the emergence of autonomous AI agents and their extension of Large Language Models (LLMs).
- Apply prompt engineering and tool integrations for real-world deployments.
- Evaluate various models, tools, and techniques for responsible and secure deployment.
Course Format
- Engaging lectures paired with interactive discussions.
- Practical application of generative and agentic AI tools in realistic scenarios.
- Guided exercises emphasizing content generation and autonomous workflow design.
Course Customization Options
- For tailored training requests, please reach out to us to schedule.
Course Outline
Introduction to Generative AI and Agentic AI
- Defining Generative AI and Agentic AI.
- Key differences and complementary strengths.
- Industry use cases and emerging trends.
Generative AI Architecture and Tools
- Transformer models: GPT, LLaMA, Claude, and others.
- Fine-tuning versus in-context learning.
- Essential tools: ChatGPT, Hugging Face Transformers, Google AI Studio.
Prompt Engineering for Control and Structure
- Prompt patterns for writing, coding, summarization, and more.
- Techniques: Few-shot, zero-shot, and chain-of-thought prompting.
- Utilizing prompt libraries and testing utilities.
Understanding Agentic AI
- Definition and evolution of agentic AI.
- Core architectures: planning, memory, tool usage, and self-reflection.
- Leading frameworks: AutoGPT, BabyAGI, CrewAI, LangGraph.
Designing and Deploying Autonomous Agents
- Goal setting and task decomposition strategies.
- Integrating tools and APIs (search, memory, code execution).
- Multi-agent coordination and human-in-the-loop supervision.
Use Cases and Implementation Scenarios
- Content generation versus task orchestration.
- Applications in enterprise productivity, customer support, and data extraction.
- Ensuring responsible and secure implementation.
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning concepts.
- Hands-on experience with APIs or scripting languages like Python.
- Familiarity with prompt engineering techniques or LLM 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 Argentina (online or onsite) is designed for 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-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 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 Argentina (online or onsite) is aimed at intermediate-level digital marketers, influencers, and brand strategists who wish to maximize 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 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 Argentina (online or onsite) is designed for beginner-level social media managers, content creators, and marketing professionals who want to harness the power of InVideo AI to create compelling video content for social media platforms.
Upon completion of this training, participants will be able to:
- Use InVideo AI to turn text into engaging video content.
- Navigate and maximize the use of InVideo's AI-driven video creation platform.
- Enhance social media strategies by integrating AI-generated video content.
- Analyze and optimize video engagement using AI insights.
InVideo AI for Video Production
14 HoursThis instructor-led, live training in Argentina (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 static dashboards to conversational analytics and embedded generative BI. This evolution demands thoughtful adoption planning, seamless 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 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.
- Embrace conversational analytics and embedded GenBI functionalities.
- Drive organizational change management efforts for BI modernization.
Course Format
- Engaging lectures and interactive discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customization Options
- For personalized training arrangements, please reach out to us.
Perplexity AI for Beginners
7 HoursThis instructor-led live training in Argentina (online or onsite) is designed for beginner-level IT professionals eager to grasp the fundamentals of AI and master the effective use of Perplexity AI.
Upon completing this training, participants will be able to:
- Articulate the core concepts of artificial intelligence.
- Navigate the Perplexity AI platform to discover information efficiently.
- Apply Perplexity AI in diverse real-world situations.
- Grasp the ethical implications and societal effects 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 and simplifying data access. For organizations requiring enterprise-grade solutions, implementing robust quality assurance and observability practices is critical to guaranteeing accuracy, reliability, and regulatory compliance.
This instructor-led, live training session (available online or onsite) targets advanced data and analytics professionals seeking to evaluate query precision, apply prompt optimization techniques, and establish observability protocols for monitoring WrenAI in live production environments.
Upon completing this training, participants will be equipped to:
- Assess the accuracy and dependability of natural language to SQL outputs.
- Utilize prompt tuning methods to enhance system performance.
- Track data drift and analyze query behavior over time.
- Enable WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on evaluation and tuning methodologies.
- Hands-on labs covering observability and monitoring integrations.
Course Customization Options
- For customized training arrangements for this course, please reach out to us.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing tailored applications, and embedding charts within internal platforms.
This instructor-led, live training, available both online and onsite, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, such as SQL generation, data visualization, and application integration.
Upon completion of this training, participants will be equipped to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries from natural language prompts.
- Create and embed charts utilizing API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving API calls and integrations.
- Real-world projects linking apps, charts, and data pipelines.
Customization Options
- To request customized training for 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 for linking data sources, structuring data models, and constructing interactive dashboards.
This instructor-led, live training session, available online or onsite, targets beginner to intermediate data professionals looking to master the setup of WrenAI Cloud, data modeling techniques, and the creation of insightful dashboards.
Upon completion of this training, participants will be equipped to:
- Provision and configure WrenAI Cloud environments.
- Link WrenAI Cloud with various data sources.
- Model data structures and define analytical relationships.
- Develop interactive dashboards to derive business insights.
Course Format
- Engaging lectures and group discussions.
- Practical exercises on cloud platform configuration and data modeling.
- Hands-on practice in building and visualizing dashboards.
Course Customization Options
- For tailored training on this topic, 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, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics in WrenAI.
- Build dashboards aligned with regulatory and audit requirements.
- Integrate WrenAI with finance data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with financial data models.
- Practical labs on dashboard design and compliance reporting.
Course Customization Options
- To request a 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 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.
By the end 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 analytical results, empowering non-technical teams to rapidly and consistently derive insights.
This instructor-led live training, available in online or onsite formats, targets intermediate-level product managers, analysts, and data champions looking to implement conversational analytics and establish self-service BI capabilities using WrenAI.
Upon completing this training, participants will be able to:
- Design conversational analytics workflows that reveal reliable product insights.
- Develop and maintain a standardized metrics layer to ensure consistent reporting.
- Effectively utilize natural-language to SQL features to address product-related questions.
- Integrate WrenAI-powered self-service dashboards and guardrails into product workflows.
Course Format
- Interactive lectures and discussions.
- Hands-on labs featuring Wren AI and sample datasets.
- Workshop: Construct a self-service dashboard and conversational query set.
Course Customization Options
- For customized training arrangements for this course, please contact us.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly within their customer-facing products. This course is designed to equip SaaS teams with the essential skills to integrate Wren AI via its Embedded API, configure white-label analytics solutions, and manage complex multi-tenant deployments.
This instructor-led live training, available either online or onsite, is tailored for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within their SaaS environments.
Upon completion of this training, participants will be able to:
- Integrate WrenAI using the Embedded API for applications directed at customers.
- Implement white-label conversational BI features with customized branding and styling.
- Design secure and scalable multi-tenant deployment architectures.
- Monitor usage metrics, optimize performance, and ensure regulatory compliance within SaaS environments.
Course Format
- Interactive lectures and group discussions.
- Practical hands-on labs utilizing the WrenAI Embedded API.
- Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.
Customization Options
- To arrange customized training for this course, please contact us to discuss your specific needs.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and the Metrics Library accelerate reporting through 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 speed up reporting and analysis by leveraging WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be able to:
- Construct AI-enhanced spreadsheets for data analysis and reporting.
- Utilize the WrenAI Metrics Library to establish standardized KPIs.
- Link spreadsheets to diverse data sources to enable live data updates.
- Develop automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Practical, hands-on exercises for building spreadsheets using WrenAI.
- Real-world exercises focusing on metrics and KPI reporting.
Customization Options for the Course
- To request a customized version of this training, please contact us to make arrangements.