AI Agent Designer
AI Agent Designer
An AI Agent Designer creates and deploys intelligent agents that think, remember, and collaborate.
The AI Agent Designer course is specifically designed to take you beyond basic AI automation and into the emerging world of intelligent agents. Through a hands-on approach, you’ll learn to build goal-oriented agents that can reason, remember, plan, and collaborate using leading open-source frameworks such as LangGraph, CAMEL, and ReAct.
As you progress, you’ll work through guided labs, system architecture design exercises, and a capstone deployment project. In doing so, you’ll gain practical experience creating AI agents with persistent memory, adaptive behavior, human-in-the-loop control, and secure deployment practices. Whether you’re designing executive assistants, task coordinators, or research bots, this course provides a clear blueprint for building real-time, production-grade AI systems.
By the end of the course, you’ll have designed and deployed intelligent agents with real-world utility. Consequently, you’ll be fully prepared to complete the AI Agent+ certification, which includes both the AI Workflow Designer and AI Agent Designer courses as part of the AI Agent+ Certification Program.
Courses in this Certificate Program
- 6 HOURS TOTAL
- Live: 3 Hours
- Self-Study: 3 Hours
- Tuition: $795
| Components of this Course | Hours | Delivery Method |
|---|---|---|
| AI Agent Manager | 6 Hours | Live Online & OnDemand |
| Live Instructor AMA - bi-monthly | 1 Hour+ | Live Online (optional) |
Upcoming LIVE Instruction Dates
Prerequisites
- Completion of AI Automation Engineer (AI Auto+) or equivalent
- Familiarity with prompting, vector stores, and function-calling APIs
- Comfortable with logic flows, decision trees, or structured thinking
Target Audience
- Product managers and AI leads building advanced LLM-powered features
- Developers exploring LangGraph, CrewAI, and agent orchestration
- Startup teams deploying AI copilots or assistants
- Researchers or analysts needing multi-step memory-aware workflows
- Innovation and automation teams designing intelligent systems
Learning Objectives
By the end of this AI Agent Manager course, you will be able to:
- Design agentic architectures using frameworks like CAMEL and ReAct
- Implement agent memory using vector stores (e.g., FAISS, Pinecone)
- Build goal-based, reflexive, and planning agents
- Coordinate multi-agent systems with messaging and state sync
- Deploy agents to real environments (Slack, dashboards, or voice)
- Enforce agent boundaries using security, ethics, and human escalation mechanisms
Course Modules Breakdown
1: Agent Fundamentals
- Agent types, planning vs. reactivity, behavioral design
- Assignment: Blueprint a basic reflex or goal-based agent
2: Memory and Context
- Vector DBs, embeddings, long-term memory
- Workshop: Build agent with memory recall
3: Reasoning and Planning
- ReAct loop, CAMEL framework, planning logic
- Assignment: Planning tree for agent decisions
4: LangGraph and Orchestration
- Agent flow modeling, branching, delegation
- Workshop: Build LangGraph workflow with logic paths
5: Multi-Agent Systems
- Role-based agents, collaboration, task completion
- Assignment: Design a 3-agent coordination map
6: Security, Ethics, and Guardrails
- Scope control, bias, human-in-the-loop
- Workshop: Implement ethical feedback routing
7: Hosting and Interfaces
- Deploy to Slack, voice, dashboards
- Assignment: Live agent prototype in real interface
8: Use Case Labs
- Executive assistant, knowledge manager, recruiter agent
- Studio: Build and log two functional agent workflows
9: Capstone Project
- Full-stack agent with memory, planning, deployment
- Submit demo video + logs + documentation
AI Course Information
- Review Live Dates Below
- Online & OnDemand
- Tuition: $795
- Ask about Tuition Assistance
- 6 Hours
Pro Subscriptions Required:
- ChatGPT Plus ($20/month)
- Claude Pro (via Anthropic; ~$20/month)
- Make.com Core or Pro Plan (recommended; ~$9–$16/month)
- n8n Cloud (optional, if not self-hosted; ~$20/month for basic team tier)
Anticipated Monthly Total: $50–$60/month
Certification Competencies
This course prepares you to sit for the Web3 Certification Board (W3CB) AI Agent+ Certification
Additional Information
- Module Quizzes and Knowledge Checks
- Guest Lectures & Networking
- LIVE Online Instructor AMAs
- Certification Exam Prep
Job Titles You May Qualify For
- AI Agent Architect
- Intelligent Systems Developer
- AI Research Assistant Designer
- Multi-Agent Systems Engineer
- Conversational AI Product Manager
- Agent Workflow Lead
- LLM Integration Specialist
Income Expectations
- Entry-Level: $85,000–$105,000
- Mid-Level: $110,000–$135,000
- Senior-Level / Tech Leads: $140,000–$170,000+
- Wages vary by role, region, and deployment scope.
Sources: ZipRecruiter, Glassdoor, Payscale and Lightcast.io