πAgenticFlow 101: Master No-Code AI Automation
Transform from AI curious to automation expert in 4 weeks
Inspired by Andrew Ng's proven pedagogical approach, this comprehensive course takes you from zero to AI automation mastery through bite-sized lessons, hands-on projects, and progressive skill building.
π― Course Overview
What You'll Master
Build AI Agents that think, learn, and act autonomously
Create Visual Workflows that automate complex business processes
Deploy Multi-Agent Teams for sophisticated task coordination
Connect 300+ Tools through MCP integration protocol
Launch Production Systems that scale with your business
Course Philosophy
Following Andrew Ng's proven learning methodology:
π§ Bite-sized concepts - Master one core idea at a time
π οΈ Hands-on practice - Build real systems immediately
π Progressive complexity - Each lesson builds on the previous
π‘ Practical focus - Learn by creating business value
π― Clear objectives - Know exactly what you're achieving
π Course Structure
graph TD
A[π AgenticFlow 101<br/>4 Weeks] --> B[Week 1: Foundation]
A --> C[Week 2: Agent Builder]
A --> D[Week 3: Workflow Expert]
A --> E[Week 4: Integration Master]
B --> B1[Platform Basics<br/>5 modules]
C --> C1[11-Tab System<br/>6 modules]
D --> D1[Visual Builder<br/>7 modules]
E --> E1[MCP Integration<br/>5 modules]
style A fill:#fff3e0
style B fill:#e8f5e8
style C fill:#e3f2fd
style D fill:#f3e5f5
style E fill:#fce4ec
Prerequisites
β No technical background required
β Basic computer skills (web browsing, file management)
β Curiosity about AI and business automation
β 15-30 minutes daily for lessons and practice
Learning Outcomes
By course completion, you'll be able to:
Create sophisticated AI agents that handle complex business tasks
Build automated workflows that process data and integrate systems
Deploy multi-agent teams that collaborate on complex projects
Connect any business tool through the MCP protocol
Understand AI automation well enough to train others
π
Weekly Breakdown
π Week 1: Foundation Mastery
"From AI Curious to First Automation"
Learning Objectives
Understand what AgenticFlow can do for business
Navigate the platform with confidence
Create your first working AI agent
Build your first simple automation
Deploy a system that provides immediate business value
Daily Schedule
Day 1: Welcome to the Future of Work
π― Lesson 1.1: What is No-Code AI Automation? (15 min)
The evolution from manual work β automation β AI automation
Why traditional automation fails vs. intelligent automation
Real-world transformation examples across industries
π¬ VIDEO: Platform overview walkthrough
π READING: Welcome to No-Code AI
π οΈ Hands-On 1.1: Platform Tour (15 min)
Account setup and dashboard navigation
Understanding the main sections (Agents, Workflows, Workforce)
Exploring templates and examples
β CHECKPOINT: Complete platform tour, access all main sections
Day 2: Core Concepts That Change Everything
π― Lesson 1.2: The Three Pillars of AgenticFlow (20 min)
User Inputs: How humans communicate with AI
Actions: What AI can actually do in the real world
Knowledge: How AI becomes an expert in your domain
π¬ VIDEO: Core Concepts Series (4 min total)
π READING: Understanding the input β processing β output flow
π οΈ Hands-On 1.2: Concept Exploration (15 min)
Examine existing agents to see the three pillars in action
Identify user inputs, actions, and knowledge in different examples
β CHECKPOINT: Correctly identify pillars in 3 different agent examples
Day 3: Your First AI Agent
π― Lesson 1.3: Agent Creation Fundamentals (20 min)
What makes a good AI agent vs. a bad one
The agent creation process step-by-step
Common beginner mistakes and how to avoid them
π¬ VIDEO: [π PLACEHOLDER - "Creating Your First Agent" - 12 min tutorial]
π READING: Agent Quickstart
π οΈ Hands-On 1.3: Build Your First Agent (30 min)
Create a "Meeting Summarizer" agent
Configure basic settings and personality
Add simple instructions and test responses
β CHECKPOINT: Deploy working agent that can summarize meeting notes
Day 4: Simple but Powerful Automations
π― Lesson 1.4: Workflow Fundamentals (20 min)
Visual workflows vs. traditional programming
When to use workflows vs. agents
The most useful workflow patterns for beginners
π¬ VIDEO: Workflow execution modes
π READING: [π PLACEHOLDER - "Workflow Patterns for Beginners" - 8 min read]
π οΈ Hands-On 1.4: Build Your First Workflow (30 min)
Create an "Email to Task" automation workflow
Connect email input β AI processing β task creation
Test with sample emails and refine outputs
β CHECKPOINT: Deploy workflow that converts emails to actionable tasks
Day 5: Choose Your Adventure
π― Lesson 1.5: Finding Your AgenticFlow Path (15 min)
Understanding the three main paths: Agents, Workflows, Teams
How to choose based on your needs and goals
Success patterns for different business types
π READING: Choose Your Path
π οΈ Hands-On 1.5: Path Planning & Review (30 min)
Identify which path aligns with your business needs
Review and improve your first agent and workflow
Plan your Week 2 learning focus
β CHECKPOINT: Clear learning path selected, both creations working
π Week 1 Capstone Project (45 min)
Build a "Customer Inquiry Assistant"
Agent that understands customer emails
Categorizes inquiries (support, sales, billing)
Generates appropriate response templates
Integrates with your email system
π SUCCESS CRITERIA: Process 5 test emails with 90% accuracy
π€ Week 2: Agent Builder Mastery
"From Basic Chatbots to Intelligent Assistants"
Learning Objectives
Master the 11-tab agent configuration system
Create multi-modal agents that handle text, images, and files
Integrate powerful tools and knowledge bases
Deploy professional-grade agents for business use
Understand advanced agent patterns and best practices
Daily Schedule
Day 6: The 11-Tab System Deep Dive
π― Lesson 2.1: Agent Configuration Architecture (25 min)
Overview of all 11 tabs and their purposes
How tabs interact and influence each other
Advanced vs. basic configuration strategies
π¬ VIDEO: [π PLACEHOLDER - "11-Tab System Masterclass" - 18 min overview]
π READING: 11-Tab Visual Configuration
π οΈ Hands-On 2.1: Tab-by-Tab Exploration (30 min)
Walk through each tab with existing agent examples
Understand the impact of different configuration choices
β CHECKPOINT: Explain the purpose of all 11 tabs
Day 7: Identity & Personality Design
π― Lesson 2.2: Creating Agent Personalities (20 min)
Why personality matters for AI agents
Designing for your audience and use case
Professional vs. casual vs. technical personalities
π READING: Tab 1: Basic Information & Identity
π¬ VIDEO: [π PLACEHOLDER - "AI Personality Design" - 14 min tutorial]
π οΈ Hands-On 2.2: Personality Workshop (25 min)
Create 3 different agent personalities for different use cases
Test how personality affects user interaction
β CHECKPOINT: Deploy agent with distinctive, appropriate personality
Day 8: Knowledge Integration Mastery
π― Lesson 2.3: Making Agents Expert in Your Domain (25 min)
The 10-file limit: strategy for maximum impact
Document types and optimization techniques
RAG system configuration for better responses
π READING: Tab 4: Knowledge Base Management
π¬ VIDEO: [π PLACEHOLDER - "Knowledge Optimization Strategies" - 16 min guide]
π οΈ Hands-On 2.3: Expert Agent Creation (35 min)
Build a "Company Policy Expert" agent
Optimize document selection and formatting
Test knowledge retrieval and accuracy
β CHECKPOINT: Agent answers complex policy questions accurately
Day 9: Tool Integration Power
π― Lesson 2.4: Connecting 300+ Tools via MCP (25 min)
Understanding the MCP protocol at beginner level
Most valuable tool integrations for business
Security and permission considerations
π READING: Tab 5: MCP Tool Integration
π¬ VIDEO: Most popular integration video
π οΈ Hands-On 2.4: Multi-Tool Agent (35 min)
Create agent that integrates Google Calendar + Gmail + Slack
Build "Meeting Coordinator" that schedules and notifies
Test end-to-end tool integration
β CHECKPOINT: Agent successfully manages meeting workflow across tools
Day 10: Multi-Modal Capabilities
π― Lesson 2.5: Beyond Text - Images, Audio, Video (25 min)
Multi-modal agent capabilities overview
Use cases for image, audio, and video processing
Performance and cost considerations
π READING: Multi-Modal Capabilities
π¬ VIDEO: [π PLACEHOLDER - "Multi-Modal Agent Examples" - 15 min showcase]
π οΈ Hands-On 2.5: Media Processing Agent (35 min)
Build "Content Analyzer" agent
Processes text, images, and documents
Generates insights across media types
β CHECKPOINT: Agent analyzes mixed media content accurately
π Week 2 Capstone Project (60 min)
Build a "Customer Success Manager" Agent
Handles customer inquiries across multiple channels
Accesses customer history and product documentation
Integrates with CRM and support tools
Escalates complex issues appropriately
π SUCCESS CRITERIA: Handle 10 diverse customer scenarios with 95% satisfaction
β‘ Week 3: Workflow Automation Expert
"From Manual Processes to Intelligent Automation"
Learning Objectives
Master the visual workflow builder and its capabilities
Understand and use the 193+ node library effectively
Create complex data processing and business logic
Implement error handling and conditional workflows
Deploy production-ready automated processes
Daily Schedule
Day 11: Visual Builder Mastery
π― Lesson 3.1: Drag-and-Drop Automation (25 min)
Visual builder interface and best practices
Node connection strategies and data flow
Debugging and testing workflows visually
π READING: Visual Workflow Builder Guide
π¬ VIDEO: Essential workflow concepts
π οΈ Hands-On 3.1: Builder Fundamentals (30 min)
Create your first visual workflow from scratch
Practice node placement, connection, and configuration
β CHECKPOINT: Build functioning 5-node workflow visually
Day 12: Essential Node Library
π― Lesson 3.2: The 10 Most Powerful Nodes (30 min)
LLM nodes: GPT, Claude, Gemini configuration
Data processing: Transform, filter, validation
Logic control: Conditions, loops, switches
π READING: 193+ Workflow Nodes
π¬ VIDEO: [π PLACEHOLDER - "Essential Nodes Masterclass" - 22 min tutorial]
π οΈ Hands-On 3.2: Node Workshop (45 min)
Practice with each essential node type
Build mini-workflows showcasing each node
β CHECKPOINT: Demonstrate proficiency with all 10 essential nodes
Day 13: Data Processing Mastery
π― Lesson 3.3: Transform, Filter, and Enrich Data (25 min)
Data transformation patterns and techniques
Working with APIs and external data sources
File processing and format conversions
π READING: Data Processing Nodes
π¬ VIDEO: [π PLACEHOLDER - "Data Processing Patterns" - 17 min guide]
π οΈ Hands-On 3.3: Data Pipeline Creation (40 min)
Build "Customer Data Enrichment" workflow
Process CSV files, enrich with API data, output formatted reports
β CHECKPOINT: Successfully process and enrich sample customer dataset
Day 14: Logic and Control Flow
π― Lesson 3.4: Building Smart Decision Trees (25 min)
Conditional logic and branching workflows
Loop structures for batch processing
Error handling and recovery patterns
π READING: Logic & Control Nodes
π¬ VIDEO: [π PLACEHOLDER - "Advanced Logic Patterns" - 19 min deep dive]
π οΈ Hands-On 3.4: Intelligent Workflow (40 min)
Create "Smart Lead Qualifier" workflow
Implements complex scoring logic and routing
β CHECKPOINT: Workflow correctly processes and routes 20 test leads
Day 15: Integration and Deployment
π― Lesson 3.5: Production Workflow Strategies (25 min)
Workflow deployment and monitoring
Integration with external systems
Performance optimization and scaling
π READING: [π PLACEHOLDER - "Production Workflow Guide" - 12 min read]
π¬ VIDEO: [π PLACEHOLDER - "Deployment Best Practices" - 16 min tutorial]
π οΈ Hands-On 3.5: Production Deployment (35 min)
Take previous workflows to production
Set up monitoring and error alerts
β CHECKPOINT: All workflows running in production with monitoring
π Week 3 Capstone Project (75 min)
Build a "Content Marketing Automation" System
Researches trending topics in your industry
Generates blog post outlines and social media content
Schedules publication across multiple channels
Monitors engagement and adjusts strategy
π SUCCESS CRITERIA: Generate and schedule 1 week of content automatically
π’ Week 4: Integration & Multi-Agent Master
"From Individual Tools to Orchestrated Teams"
Learning Objectives
Master MCP protocol for enterprise integrations
Design and deploy multi-agent systems
Implement team communication and coordination
Handle complex business processes with agent teams
Deploy production-ready enterprise solutions
Daily Schedule
Day 16: MCP Protocol Deep Dive
π― Lesson 4.1: Understanding Model Context Protocol (30 min)
How MCP revolutionizes AI-system integration
Protocol fundamentals and architecture
Security and authentication considerations
π READING: Complete MCP Deployment Guide
π¬ VIDEO: MCP deployment tutorial
π οΈ Hands-On 4.1: MCP Setup Workshop (45 min)
Set up MCP server and connect first integrations
Configure Google Workspace, Slack, and CRM connections
β CHECKPOINT: Successfully deploy MCP server with 3+ integrations
Day 17: Multi-Agent Architecture
π― Lesson 4.2: From Single Agents to Coordinated Teams (30 min)
Multi-agent systems theory and benefits
Team architecture patterns and communication flows
Coordination strategies and conflict resolution
π READING: Complete Multi-Agent Systems Guide
π¬ VIDEO: Multi-agent concepts
π οΈ Hands-On 4.2: First Multi-Agent Team (45 min)
Design 3-agent customer service team
Configure team roles and communication protocols
β CHECKPOINT: Deploy functioning multi-agent customer service team
Day 18: Team Patterns and Templates
π― Lesson 4.3: Proven Multi-Agent Patterns (25 min)
Production line, consensus, and feedback loop patterns
Industry-specific team templates
Scaling and performance considerations
π READING: Team Templates & Use Cases
π¬ VIDEO: [π PLACEHOLDER - "Multi-Agent Patterns" - 20 min patterns overview]
π οΈ Hands-On 4.3: Advanced Team Building (40 min)
Build "Content Creation Squad" with 4 specialized agents
Implement feedback loops and quality control
β CHECKPOINT: Team produces high-quality content through collaboration
Day 19: Enterprise Integration
π― Lesson 4.4: Enterprise-Grade Deployment (30 min)
Security, compliance, and governance
Monitoring, logging, and observability
Scaling strategies and performance optimization
π READING: [π PLACEHOLDER - "Enterprise Deployment Guide" - 15 min read]
π¬ VIDEO: [π PLACEHOLDER - "Enterprise Architecture" - 24 min overview]
π οΈ Hands-On 4.4: Production System (50 min)
Deploy previous systems with enterprise security
Set up comprehensive monitoring and alerting
β CHECKPOINT: Production system with full observability
Day 20: Putting It All Together
π― Lesson 4.5: Building Complete Business Solutions (25 min)
System architecture for complex business needs
Integration patterns and best practices
Future-proofing and continuous improvement
π READING: [π PLACEHOLDER - "Complete Business Solutions" - 10 min guide]
π οΈ Hands-On 4.5: Solution Architecture (35 min)
Design complete solution for complex business case
Integration architecture planning
β CHECKPOINT: Complete solution architecture with implementation plan
π Week 4 Final Capstone Project (90 min)
Build a "Complete Business Automation Platform"
Multi-agent teams handling different business functions
Integrated workflows for data processing and decision making
MCP connections to all major business tools
Comprehensive monitoring and reporting dashboard
π SUCCESS CRITERIA: Handle complete business process from lead to customer success
π Assessment & Certification
Progress Tracking
Daily Checkpoints: Verify understanding and completion
Weekly Projects: Demonstrate practical application
Peer Review: Get feedback from learning community
Self-Assessment: Reflect on learning and areas for improvement
Certification Levels
π₯ AgenticFlow Foundation: Complete Week 1 with all checkpoints
π₯ AgenticFlow Builder: Complete Weeks 1-2 with all projects
π₯ AgenticFlow Expert: Complete Weeks 1-3 with capstone projects
π AgenticFlow Master: Complete full course with final capstone
Skills Verification
Each certification level includes:
Practical Demonstration: Show working systems you've built
Knowledge Assessment: Quiz on key concepts and best practices
Portfolio Submission: Document your learning journey and achievements
Community Contribution: Help other learners or share insights
π What's Next: Advanced Courses
AgenticFlow 102: Advanced Automation
Custom node development and advanced integrations
Performance optimization and enterprise scaling
Advanced multi-agent orchestration patterns
Business intelligence and analytics integration
AgenticFlow 202: AI Strategy & Leadership
Organizational AI transformation strategies
ROI measurement and business case development
AI governance, ethics, and risk management
Building AI-first organizational culture
AgenticFlow 301: Developer Track
API development and custom integrations
SDK usage and advanced programming interfaces
Enterprise deployment and DevOps practices
Contributing to the AgenticFlow ecosystem
π¬ Learning Support
Community Resources
Discord Community: Real-time help and peer learning
Office Hours: Weekly live Q&A sessions with experts
Study Groups: Connect with other learners in your cohort
Project Showcases: Share your creations and get feedback
Additional Resources
π Complete Documentation: Full reference materials
π¬ Video Library: 96+ tutorial videos and walkthroughs
π οΈ Templates: Pre-built agents, workflows, and team templates
π― Use Cases: Industry-specific examples and case studies
π Ready to transform your career with AI automation?
Start your journey today with Module 1.1: What is No-Code AI Automation?
Master the future of work, one bite-sized lesson at a time.
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