Hire Your Own AI Agents
Master AI Agents from Fundamentals to Production Workflows
Bady Ammar
AI Agent Enthusiast | Head of Product
Khalid Alharthi
Software Engineer | AI Agent Enthusiast
Duration
2 Weeks
Sessions
4 sessions
Platform
Zoom
Language
Arabic
Golden Guarantee
Full refund if you're not satisfied after session 1
About This Training
AI agents are changing how work gets done. While everyone else is still copy-pasting from ChatGPT, you'll be building systems that think, decide, and act autonomously. This course gives you the complete toolkit. You'll understand the mechanics behind LLMs how they process context, why they "forget," and how to control their behavior. Then you'll architect agents that perceive their environment, plan actions, and execute tasks without hand-holding. But building agents isn't enough. You'll learn how to design experiences users actually trust the right personality, the right feedback, the right level of autonomy. And you'll connect everything into intelligent workflows that handle messy real-world data. By the end, you won't just understand AI agents you'll ship them.
What You'll Learn
- Understand how Large Language Models (LLMs) work, including tokens, context windows, and temperature settings
- Build AI agents that perceive, plan, act, and adapt autonomously
- Design effective agent architectures including single-agent and multi-agent systems
- Implement agent tools and on-demand skill loading for scalable solutions
- Apply UX design principles for conversational AI interfaces
- Create intelligent workflows that combine automation with AI decision-making
- Use workflow tools to automate business processes with AI
- Deploy agents that handle unstructured data and adapt to context
Early bird pricing ends February 15
Syllabus
Build your AI-first mindset and master the mechanics behind Large Language Models—the engine that powers every AI agent.
The AI Imperative
Why AI fluency is now a career advantage. The shift from "AI will replace me" to "AI will amplify me."
How LLMs Work
Tokens, context windows, the stateless nature of LLMs, and why they "forget." How system prompts and memory create the illusion of continuity.
Controlling Model Behavior
Temperature, Top-K, and Top-P—how to make models creative or precise. When to use each setting.
Hands-On: Your AI Toolkit
Set up ChatGPT, Claude, and experiment with different temperature settings. See how the same prompt produces different outputs.
AI Agents - Architecture & Design
From chatbots to autonomous agents. Understand what makes agents tick and how to architect them for real problems.
What Makes an Agent
The difference between chat and agents. Key characteristics: autonomy, perception, decision-making, and action.
The Agent Loop
Perceive → Plan → Act → Observe → Adjust → Repeat. How agents break down goals and execute autonomously.
Single vs Multi-Agent Systems
When one agent is enough and when you need a team. Patterns: Agents-as-Tools, Parallel, Sequential, Collaborative.
Hands-On: Design Your First Agent
Map out an agent for your own use case. Define its goal, perception inputs, available actions, and success criteria.
Give your agents superpowers with tools and skills, then design experiences users actually trust and want to use.
Agent Tools
Giving agents the ability to act. Tools for information retrieval, data processing, and real-world actions.
On-Demand Skills & MCP
Loading specialized knowledge only when needed. Model Context Protocol for connecting agents to external services.
Agent UX Design
Designing personality, turn-taking strategies, mixing text with GUI, and building trust through transparency.
Hands-On: Build an Agent with Personality
Create a system prompt that defines your agent's personality, tools, and behavior. Test it with real conversations.
Connect everything into production-ready workflows. Build and deploy AI-powered automation that handles real business problems.
From Automation to Intelligence
Why traditional automation breaks. How AI agents handle unstructured data, make decisions, and adapt to context.
Workflow Tools & Patterns
Common patterns: email processing, customer support, document handling.
Best Practices & Pitfalls
Human checkpoints, error handling, logging, and why you should never fully trust AI for critical decisions.
Hands-On: Deploy Your Intelligent Workflow
Build a complete workflow: trigger, AI classification, routing, and action. Deploy it and test with real data.
Requirements
- Basic computer literacy and familiarity with web applications
- Laptop with internet connection for hands-on exercises
- Curiosity and willingness to experiment with AI tools
- No prior programming experience required (but helpful)
Who This Is For
- Business professionals wanting to automate workflows with AI
- Entrepreneurs building AI-powered solutions
- Technical leads exploring agent architectures
- Anyone curious about practical AI applications in business
- Marketing and operations professionals looking to leverage AI
- Product managers seeking to integrate AI into their products
Early bird pricing ends February 15
Golden Guarantee
Full refund if you're not satisfied after session 1
Questions? Contact Us
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