Agentic AI Workflow Design
The future of AI is not chat—it is autonomous agents that can reason, plan, and execute complex tasks without human intervention. This cutting-edge course teaches you to build agentic AI systems using LangChain, AutoGPT, and custom agent frameworks. Learn agent architecture: reasoning loops, tool use, memory systems, and planning algorithms. Master LangChain for agent orchestration, build agents that can use external tools and APIs, implement multi-agent systems where AI agents collaborate, and create self-improving agents that learn from feedback. You will work with real-world agent applications: research assistants that autonomously gather and synthesize information, code generation agents that build software, customer service agents that resolve complex issues, and business process agents that handle end-to-end workflows. Understand the challenges: reliability, cost management, error handling, and safety considerations. This is bleeding-edge technology—you will be building the systems that companies will need in 2-3 years. By graduation, you will have built multiple production-grade agents and understand both the possibilities and limitations of agentic AI.
Led by
Fotie M. Constant
Join the Cohort
Limited spots available for the next intake.
Next Cohort Starts
Wed, April 1, 2026
Women's Day Offer
Pay the application fee by March 31, 2026 to allow us to review your application and lock in this 20% tuition discount.
Fee required to secure your interview slot.
Weekly Live Sessions
Interactive zoom classes with Fotie M. Constant
Real-time Task Reviews
Get feedback on your weekly assignments
Community Access
Join the private discord for 24/7 support
What You'll Learn
Real-World Projects You'll Build
Autonomous Research Assistant
Build an agent that conducts research and produces comprehensive reports
Technologies:
Outcomes:
- →Multi-source research
- →Fact verification
- →Cited reports
- →Autonomous operation
Code Development Agent
Create an agent that writes, tests, and debugs code autonomously
Technologies:
Outcomes:
- →Code generation
- →Automated testing
- →Bug fixing
- →Documentation
Customer Service Orchestrator
Build a multi-agent system handling complex customer requests
Technologies:
Outcomes:
- →Ticket routing
- →Automated resolution
- →Escalation handling
- →Analytics
Business Process Automation
Create an agent that handles end-to-end business workflows
Technologies:
Outcomes:
- →Workflow automation
- →Decision-making
- →Exception handling
- →Audit logging
Personal AI Assistant
Build a general-purpose assistant that manages tasks autonomously
Technologies:
Outcomes:
- →Goal understanding
- →Autonomous execution
- →Learning from feedback
- →Multi-domain capability
Your Weekly Journey
14 weeks • Live FormatWeek 1Agent Fundamentals
Understanding autonomous agents and their architecture
Topics Covered:
- •What are AI agents?
- •Agent vs. chatbot paradigm
- •ReAct pattern
- •Agent components
- •Planning and reasoning
Week 2LangChain for Agents
Master LangChain agent framework
Topics Covered:
- •LangChain agents overview
- •Agent types and executors
- •Tools and toolkits
- •Chains vs. agents
- •Memory systems
Week 3Tool Use & External APIs
Enable agents to use tools and APIs
Topics Covered:
- •Tool calling patterns
- •API integration
- •Web browsing agents
- •Code execution
- •Safety considerations
Week 4Agent Planning & Reasoning
Implement sophisticated planning algorithms
Topics Covered:
- •Task decomposition
- •Chain-of-thought reasoning
- •Tree of thoughts
- •Self-reflection
- •Plan validation
Week 5Memory Systems
Build agent memory for context and learning
Topics Covered:
- •Short-term vs. long-term memory
- •Vector store integration
- •Episodic memory
- •Semantic memory
- •Memory retrieval
Week 6Multi-Agent Systems
Orchestrate multiple agents working together
Topics Covered:
- •Agent communication protocols
- •Task delegation
- •Consensus mechanisms
- •Hierarchical agents
- •Swarm intelligence
Week 7AutoGPT & Advanced Patterns
Build fully autonomous agent systems
Topics Covered:
- •AutoGPT architecture
- •Goal-oriented agents
- •Self-directed planning
- •Error recovery
- •Autonomous loops
Week 8Code Generation Agents
Build agents that write and execute code
Topics Covered:
- •Code generation patterns
- •Sandboxed execution
- •Testing and validation
- •Code repair loops
- •Development agents
Week 9Research & Analysis Agents
Create agents that gather and synthesize information
Topics Covered:
- •Web research patterns
- •Information synthesis
- •Fact-checking
- •Citation management
- •Report generation
Week 10Business Process Agents
Automate end-to-end business workflows
Topics Covered:
- •Workflow orchestration
- •Decision-making
- •Exception handling
- •Human-in-the-loop
- •Process optimization
Week 11Reliability & Safety
Build robust and safe agent systems
Topics Covered:
- •Error handling strategies
- •Cost management
- •Rate limiting
- •Safety constraints
- •Monitoring and alerts
Week 12Agent Evaluation & Testing
Test and evaluate agent performance
Topics Covered:
- •Evaluation metrics
- •Benchmark design
- •A/B testing agents
- •Quality assurance
- •Performance optimization
Week 13Production Deployment
Deploy agents to production environments
Topics Covered:
- •Deployment architectures
- •Scaling strategies
- •Cost optimization
- •Observability
- •Maintenance
Week 14Capstone: Enterprise Agent System
Build a complete production-grade agent application
Topics Covered:
- •Requirements analysis
- •System design
- •Implementation
- •Testing and deployment
- •Documentation
Capstone Projects
Apply everything you've learned in real-world projects
Skills You'll Master
Job-Ready Guarantee
Our curriculum is designed to get you hired. 92% of our graduates land a job within 6 months.
Your Mentor
Fotie M. Constant
AI Engineer
AI researcher building autonomous agents for Fortune 500 companies
Career Opportunities
- AI Agent Engineer
- Autonomous Systems Developer
- AI Research Engineer
- Machine Learning Architect
- AI Product Lead