Agentic AI goes beyond traditional chatbots by enabling AI agents to plan, reason, and execute complex tasks autonomously. This hands-on workshop equips participants with the skills to build intelligent AI workflows that automate business processes and improve productivity.

This course provides practical knowledge of Agentic AI using Claude Artifacts, Google AI Studio, Manus AI, and other leading AI platforms to design AI agents, automate workflows, and develop AI-powered business solutions.

  • Why get trained: Learn how to design AI agents, build multi-step workflows, automate business tasks, create AI-powered applications, and apply prompt engineering and responsible AI practices.
  • Why it matters: Agentic AI is transforming how organizations automate operations, improve decision-making, and accelerate digital transformation. Professionals with these skills can unlock greater efficiency and innovation across the business.
  • Who should attend: Business Professionals, Executives, Managers, Digital Transformation Teams, Innovation Teams, Project Managers, Business Analysts, HR, Finance, Marketing, Consultants, Entrepreneurs, Educators, Technical Professionals, and anyone interested in AI-powered automation.

Gain the skills to design, deploy, and manage AI agents that automate workflows and drive business productivity. HRD Corp Claimable.

Overview

Agentic AI represents the next evolution of Artificial Intelligence, moving beyond simple chatbots and prompt-response systems to autonomous AI agents capable of planning, reasoning, executing tasks, collaborating with multiple tools, and completing complex workflows with minimal human intervention.

This intensive two-day hands-on workshop is designed to equip professionals with the knowledge and practical skills to design, build, and deploy AI-powered workflows using the latest Agentic AI platforms. Participants will explore how AI agents can automate business processes, perform research, generate reports, create applications, analyze data, and assist with decision-making.

The program focuses on Claude Artifacts, Google AI Studio, Manus AI, AI Agents, and modern productivity platforms while introducing participants to practical agent design, prompt engineering, workflow automation, and AI-assisted application development. Through real-world case studies and guided exercises, participants will build intelligent AI assistants capable of solving business challenges across multiple industries.

Designed for HRD Corp claimable training, the course emphasizes practical implementation, responsible AI usage, and workplace productivity, enabling organizations to begin their Agentic AI journey confidently.

Skills Covered

Upon completion of this program, participants will be able to:

  1. Understand the concepts and architecture of Agentic AI.
  2. Differentiate between Generative AI, AI Assistants, AI Agents, and Autonomous AI.
  3. Build AI-powered workflows using Claude Artifacts and Google AI Studio.
  4. Utilize Manus AI for autonomous task execution.
  5. Design multi-step AI workflows for business automation.
  6. Apply prompt engineering techniques specifically for AI agents.
  7. Integrate AI tools into daily business operations.
  8. Implement responsible, secure, and effective AI automation strategies.

Prerequisites

Participants should have:

  • Basic computer literacy
  • Familiarity with office productivity software
  • Internet browsing skills
  • Personal laptop (Windows or macOS)
  • Stable internet connection
  • Google Account
  • Claude Account
  • ChatGPT Account
  • Google AI Studio access
  • Manus AI account (recommended)
  • Basic understanding of Generative AI concepts

No coding experience is necessary.

Target Audience

This course is suitable for:

  • Business Professionals
  • Executives and Managers
  • Digital Transformation Teams
  • Innovation Teams
  • Project Managers
  • Business Analysts
  • HR Professionals
  • Finance Professionals
  • Procurement Teams
  • Marketing Professionals
  • Customer Experience Teams
  • Entrepreneurs
  • Consultants
  • Educators
  • Technical Professionals
  • Anyone interested in AI-powered automation

No programming experience is required.

Course Curriculum

Module 1: Introduction to Agentic AI

  • Evolution from Traditional AI to Agentic AI
  • What is Agentic AI?
  • AI Assistants vs AI Agents vs Autonomous Systems
  • How AI Agents Think
  • Planning, Reasoning and Execution
  • Single-Agent vs Multi-Agent Systems
  • Human-in-the-Loop vs Fully Autonomous Workflows
  • Business Applications Across Industries
  • Future of Autonomous AI

Hands-on Activities

  • Explore leading Agentic AI platforms
  • Compare AI assistants with AI agents
  • Identify automation opportunities in participants’ organizations

Module 2: Modern Agentic AI Platforms

Deep dive into:

  • Claude
  • Claude Artifacts
  • Google AI Studio
  • Gemini Models
  • Manus AI
  • AI Agents
  • NotebookLM
  • ChatGPT Projects
  • Microsoft Copilot
  • Emerging Agentic AI Platforms (2026)

Comparison

  • Workflow creation
  • Business automation
  • Application development
  • Research
  • Coding
  • Productivity
  • Collaboration
  • Enterprise deployment

Hands-on Activities

  • Compare outputs across platforms
  • Select the best platform for different business scenarios

Module 3: Prompt Engineering for AI Agents

  • Agent prompting principles
  • Goal-oriented prompting
  • Task decomposition
  • Context management
  • Memory management
  • Planning prompts
  • Reflection prompts
  • Iterative prompting
  • Multi-step workflows
  • AI reasoning strategies

Hands-on Activities

  • Design prompts for autonomous task execution
  • Improve workflow reliability using structured prompting

Module 4: Building Interactive AI Applications

Using Claude Artifacts

  • Interactive dashboards
  • Business calculators
  • AI assistants
  • Internal knowledge tools
  • Report generators
  • Learning applications

Using Google AI Studio

  • Rapid AI prototyping
  • Prompt testing
  • Structured outputs
  • AI application design

Hands-on Activities

Participants build:

  • Interactive business dashboard
  • AI-powered report generator
  • Internal productivity application

 

Day 2

Module 5: AI Productivity & Workflow Automation

Automating workplace activities

  • Email generation
  • Meeting summaries
  • Proposal writing
  • Research automation
  • Data analysis
  • Documentation
  • Knowledge management
  • Customer support
  • SOP generation

Tools Covered

  • Claude Artifacts
  • Google AI Studio
  • Manus AI
  • Microsoft Copilot
  • NotebookLM
  • Perplexity AI
  • Zapier AI
  • Make AI
  • n8n AI integrations

Hands-on Activities

Design an end-to-end AI-assisted workflow that automates a common business process.

Module 6: Autonomous AI Agents with Manus & Google AI Studio

  • Designing AI agents
  • Task orchestration
  • Autonomous planning
  • Workflow execution
  • Multi-step reasoning
  • Agent collaboration
  • Human approvals
  • Error handling
  • AI quality control

Hands-on Activities

Participants create:

  • Research agent
  • Business planning agent
  • Document automation agent
  • Customer support assistant

Module 7: Responsible Agentic AI & Governance

  • AI governance
  • Responsible AI principles
  • Privacy and security
  • Data protection
  • AI hallucinations
  • AI bias
  • Intellectual property
  • Compliance
  • Risk management
  • Human oversight
  • Enterprise AI policies

Case Studies

  • Successful enterprise AI adoption
  • AI automation failures
  • Governance best practices

Hands-on Activities

Assess AI agent outputs for accuracy, transparency, compliance, and business risk.

Module 8: Designing an Agentic AI Strategy

  • AI transformation roadmap
  • Selecting the right AI platforms
  • Scaling AI across departments
  • Measuring AI ROI
  • AI adoption framework
  • Future trends in Agentic AI
  • Multi-agent ecosystems
  • AI operating models
  • Building an AI-first organization

Capstone Project

Working in teams, participants will design and present an Agentic AI solution for a real business challenge. The solution should leverage Claude Artifacts, Google AI Studio, Manus AI, and supporting productivity tools to automate a complete workflow—from information gathering and analysis to content generation, reporting, and decision support. Teams will present their architecture, workflow, expected business benefits, governance considerations, and implementation roadmap.

Dates & Locations

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Exam & Certification

Note: There is no exam directly associated with this course. However, Trainocate offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving these credentials are one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our full range of certs and start building the skills that matter today:

Trainocate Malaysia, based in KL Eco City, is proud to be an HRD Corp Registered Training Provider and a Yayasan Peneraju ALTI, driving workforce development across Malaysia.

Training & Certification Guide

Why train with Trainocate

Participants will gain practical exposure to a modern AI productivity ecosystem, including:

Core Agentic AI Platforms

  • Claude
  • Claude Artifacts
  • Google AI Studio
  • Gemini Models
  • Manus AI

AI Productivity Tools

  • ChatGPT Projects
  • Microsoft Copilot
  • Microsoft 365 Copilot
  • NotebookLM
  • Perplexity AI

Workflow Automation

  • Zapier AI
  • Make
  • n8n
  • Google Workspace AI
  • Microsoft Power Automate (AI capabilities)

AI Content & Media Creation

  • AI presentation generation tools
  • AI document generation tools
  • AI image generation tools
  • AI video generation tools
  • AI voice generation tools

Emerging Agentic AI Technologies

  • Multi-agent collaboration frameworks
  • Autonomous task execution platforms
  • AI workflow orchestration tools
  • Enterprise AI agent platforms (2026 landscape)
  • Interactive instructor-led sessions
  • Live demonstrations
  • Guided hands-on workshops
  • Individual and group practical exercises
  • Business case studies
  • AI platform comparisons
  • Workflow design activities
  • Capstone project
  • Peer presentations and feedback

Participants will complete a diagnostic assessment before the workshop to evaluate:

  • Understanding of AI and Generative AI concepts
  • Familiarity with AI productivity tools
  • Awareness of automation opportunities
  • Confidence in using AI within their role
  • Organizational readiness for Agentic AI adoption

Participants will demonstrate competency by:

  • Completing a knowledge assessment on Agentic AI concepts, governance, and automation.
  • Developing and presenting a practical Agentic AI workflow addressing a real workplace scenario.
  • Building an interactive solution using Claude Artifacts or Google AI Studio, integrated with modern productivity and automation tools.
  • Preparing a personal or departmental AI adoption roadmap outlining next steps for implementation.

Speak to a Training Consultant

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