Building Intelligent Workflows: Agentic AI
About Course
The era of simple chatbots is over. Welcome to the Agentic Era. In 2026, the most successful businesses are not just using AI to answer questions; they are deploying autonomous AI agents to execute complex, multi-step workflows. ‘Building Intelligent Workflows: Agentic AI’ is the definitive masterclass for modern founders who want to scale their operations without scaling their headcount.
This comprehensive course demystifies the complex world of Agentic AI, translating cutting-edge technology into actionable business strategies. You will learn how to move beyond basic automation to build intelligent systems that can plan, make decisions, and execute tasks independently.
From understanding the core mechanics of Large Language Models (LLMs) to deploying multi-agent systems using low-code platforms, this course provides the exact blueprints you need to future-proof your business. Whether you are looking to automate your supply chain, streamline customer service, or build a hyper-automated marketing engine, this course will give you the tools and the confidence to lead in the next decade of digital business.
Course Categories
- Artificial Intelligence
- Business Automation
- Startup Strategy
- Operations & Scaling
Course Curriculum
Module 1: Understanding Agentic AI and Its Business Impact
- Lesson 1.1: The Evolution of AI: From Scripted Automation to Intelligent Workflows
- Defining AI Agents: Autonomy, Perception, Action, Learning
- Key Characteristics and Capabilities of Agentic AI
- Lesson 1.2: The Transformative Potential of Agentic AI in Business
- Case Studies: Real-World Applications Across Industries
- Impact on Productivity, Decision-Making, and Innovation
- Identifying High-Value Use Cases for Your Organisation
- Lesson 1.3: Core Components of an AI Agent System
- Planning and Reasoning Engines
- Memory and Knowledge Bases
- Tool Use and External Integrations
- Perception and Action Layers
Module 2: Designing Agentic Workflows
- Lesson 2.1: Deconstructing Business Processes for Agentic AI
- Process Mapping and Bottleneck Identification
- Defining Agent Roles, Goals, and Constraints
- Task Decomposition and Delegation to Agents
- Lesson 2.2: Multi-Agent System Design Principles
- Orchestration vs. Collaboration: Choosing the Right Model
- Communication Protocols Between Agents
- Designing for Robustness and Fault Tolerance
- Lesson 2.3: Data Flow and Knowledge Management for Agents
- Structuring Data for Agent Consumption
- Building and Maintaining Agent Knowledge Bases
- Ensuring Data Security and Privacy in Agentic Systems
Module 3: Implementing Agentic AI with No-Code/Low-Code Tools
- Lesson 3.1: Overview of Agentic AI Platforms and Frameworks
- Exploring No-Code/Low-Code Agent Builders
- Understanding API Integrations for Agent Tools
- Choosing the Right Platform for Your Needs
- Lesson 3.2: Building Your First AI Agent: A Practical Walkthrough
- Setting Up an Agent Environment
- Defining Agent Goals and Initial Tasks
- Integrating Basic Tools (e.g., Email, Calendar, CRM)
- Lesson 3.3: Advanced Agent Customisation and Tool Integration
- Connecting to External APIs (e.g., Marketing, Sales, Finance)
- Developing Custom Agent Behaviours and Rules
- Leveraging Large Language Models (LLMs) for Agent Intelligence
Module 4: Managing, Optimising, and Scaling Agentic AI
- Lesson 4.1: Monitoring Agent Performance and Workflow Health
- Key Metrics for Agentic System Performance
- Setting Up Alerts and Anomaly Detection
- Troubleshooting Common Agent Failures
- Lesson 4.2: Iterative Optimisation and Continuous Learning
- Feedback Loops for Agent Improvement
- A/B Testing Agent Strategies
- Adapting Agents to Changing Business Requirements
- Lesson 4.3: Scaling Agentic AI Across the Organisation
- Deployment Strategies for Enterprise-Level Agents
- Managing Multiple Agent Teams and Workflows
- Infrastructure Considerations for Scalable Agentic Systems
Module 5: Ethical AI, Governance, and the Future of Agentic Workflows
- Lesson 5.1: Ethical Considerations in Agentic AI Deployment
- Bias, Fairness, and Transparency in AI Agents
- Accountability and Decision-Making Authority
- Human-in-the-Loop Strategies
- Lesson 5.2: Establishing AI Governance and Compliance
- Regulatory Landscape for AI (e.g., UK AI Regulation, GDPR)
- Developing Internal AI Policies and Best Practices
- Risk Management for Agentic Systems
- Lesson 5.3: The Future of Work: Agentic AI and Human Collaboration
- Redefining Roles and Responsibilities
- Upskilling the Workforce for an AI-Powered Future
- Strategic Implications for Business Leaders in 2026 and Beyond
Course Content
Module 1: Understanding Agentic AI and Its Business Impact
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Lesson 1.1: The Evolution of AI: From Scripted Automation to Intelligent Workflows
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Lesson 1.2: The Transformative Potential of Agentic AI in Business
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Lesson 1.3: Core Components of an AI Agent System
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Module 1 Quiz: Understanding Agentic AI and Its Business Impact
Module 2: The Anatomy of an AI Agent
Module 3: Designing Intelligent Workflows
Module 4: Building Your First Agent (No-Code/Low-Code)
Module 5: Ethical AI, Governance, and the Future of Agentic Workflows
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