AutoGen Studio: No Code AI Agents
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Unclaimed ProfileThis comprehensive course on AutoGen Studio offers an accessible pathway into the advanced world of Agentic Oriented Programming (AOP) without requiring deep software engineering or coding skills. Led by industry expert Mohsen Hassan, the curriculum focuses heavily on Microsoft's AutoGen Studio, a powerful no-code graphical user interface designed for orchestrating autonomous AI agent networks. Learners will explore how to design, configure, and connect multiple specialized agents capable of collaborating to solve complex, multi-step business problems. Throughout the lectures, you will learn to integrate custom tools, set up system prompts, manage agent memories, and build sophisticated workflows that leverage large language models (LLMs) effectively. Ideal for business analysts, product managers, and AI enthusiasts, this course bridges the gap between high-level AI concepts and practical, real-world deployment. By the end of this training, you will possess the specialized skills to automate complex tasks, troubleshoot conversational bottlenecks, and deploy production-ready AI teams that run seamlessly with minimal human intervention.
About the creator
Mohsen Hassan
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Reviews
Mohsen Hassan is a versatile educator and active investor who bridges the gap between financial market mastery and cutting-edge artificial intelligence. With a robust teaching catalog that spans foundational stock trading, advanced swing trading strategies, cryptocurrency portfolios, and AI agent development, Mohsen has established himself as a multi-disciplinary instructor. His teaching philosophy focuses on demystifying complex concepts, whether that means breaking down ETF mechanics, explaining live stock market execution, or simplifying the deployment of multi-agent LLM systems. Mohsen's courses are designed to transition students from passive observers to active participants, providing practical frameworks, real-time examples, and step-by-step technical guides. By…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Master the AutoGen Studio interface to visually build, test, and refine multi-agent systems without writing complex Python code.
- Understand the core principles of Agentic Oriented Programming (AOP) and how to apply them to solve multi-step corporate workflows.
- Configure individual agent profiles, customizing their roles, system prompts, LLM parameters, and memory constraints for optimal performance.
- Integrate custom tools, APIs, and external databases to empower your AI agents with real-world data-fetching and action-taking capabilities.
- Set up and manage collaborative agent teams (group chats) where specialized agents communicate, review, and iteratively improve each other's outputs.
- Deploy and debug your no-code AI workflows, identifying conversational loops, failure points, and rate-limiting issues in production environments.
Best For
- Business analysts and managers looking to automate workflows without deep coding experience.
- AI enthusiasts who want to experiment with multi-agent orchestration via a graphical interface.
- Product managers aiming to prototype AI-driven solutions quickly.
- Tech-savvy professionals who want to deploy autonomous agent teams for productivity.
Not For
- Software engineers seeking to build multi-agent systems purely through Python code.
- Individuals looking for an introductory course on general prompt engineering or basic LLM usage.
- Learners who prefer theoretical research-heavy AI courses over practical, tool-based application.
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