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Mohsen Hassan and Ilyass Tabiai

You will learn to:

  • Configure and manage agent teams for complex tasks

  • Integrate both cloud-based and local language models

  • Connect external tools and deploy agent workflows as APIs

  • Build practical projects such as a crypto blog generator

Throughout the course, you will engage in hands-on exercises and real-world projects that reinforce your understanding of each concept. You will also explore best practices for optimizing agent collaboration, troubleshooting common issues, and extending your workflows with additional tools and integrations.

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You will learn to:

  • Configure and manage agent teams for complex tasks

  • Integrate both cloud-based and local language models

  • Connect external tools and deploy agent workflows as APIs

  • Build practical projects such as a crypto blog generator

Throughout the course, you will engage in hands-on exercises and real-world projects that reinforce your understanding of each concept. You will also explore best practices for optimizing agent collaboration, troubleshooting common issues, and extending your workflows with additional tools and integrations.

This course is suitable for professionals, business users, and enthusiasts interested in AI automation, regardless of coding experience. All concepts are taught through step-by-step lectures, ensuring practical understanding and immediate applicability. By the end of the course, you will be proficient in using AutoGen Studio to create, deploy, and prototype no-code AI agent solutions.

Enroll now to unlock the potential of no-code AI development with AutoGen Studio 0.4.2 and transform your workflow automation capabilities.

Enroll now

What's inside

Learning objectives

  • Learn about agentic oriented programming in a no-code fashion
  • Become an expert at autogenstudio (microsoft)
  • Identify and act on issues that require ai to be solved
  • Develop teams of ai agents able to undertake complex multi-step tasks

Syllabus

Introduction
Intro to LLMs
Agents
Teams
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Career center

Learners who complete AutoGen Studio: No Code AI Agents will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AutoGen Studio: No Code AI Agents.
Offers a rigorous and broad treatment of multi-agent systems from a computer science perspective, integrating concepts from game theory, economics, and logic. It is an excellent resource for advanced undergraduates and graduate students, providing a deeper theoretical understanding. It is often used as a textbook in academic settings.
Offers a comprehensive overview of Business Process Management (BPM), which is foundational to workflow automation. It covers essential concepts, methods, and techniques suitable for both beginners and advanced students. It is widely considered a standard textbook in academic settings.
Is widely considered the standard textbook in the field of AI. It provides a comprehensive and foundational understanding of artificial intelligence, covering a vast range of topics relevant to AI automation. While not solely focused on automation, it offers essential background knowledge for anyone looking to delve into the technical aspects of the field. It is commonly used as a textbook in academic institutions.
Delves into the contemporary topic of Intelligent Automation and Hyperautomation, exploring the combination of RPA, AI, and other technologies. It provides a forward-looking perspective on the future of automation and its impact on businesses and society. It is essential for understanding the current trends in the field.
Published recently, this book provides an accessible narrative of Microsoft's journey, with a focus on its cultural and strategic pivot towards cloud computing. It's particularly useful for gaining a broad understanding of the company's recent history and its current focus. is suitable for high school and undergraduate students, offering a good overview.
Focusing on building LLM-powered autonomous agents, this book provides a practical framework for developing agents that can handle real-world tasks. It covers using tools like the OpenAI Assistants API and LangChain, making it very relevant for contemporary agent development.
This recent publication delves into Microsoft's strategies for data management. Given the course on data management strategy, this book is highly relevant for understanding how a major tech company approaches this critical area. It's likely geared towards professionals and advanced students interested in enterprise data strategies.
Is widely considered a standard introductory textbook for multi-agent systems. It provides a comprehensive overview of the field, covering key concepts, architectures, and applications. It's highly suitable for undergraduates and those new to the field, laying a solid foundation for further study.
Focusing on the practical aspects of implementing BPM, this book provides real-world examples and guidance for successful projects. It valuable resource for practitioners looking to apply BPM principles to workflow automation initiatives. It complements theoretical knowledge with actionable strategies.
Offers a comprehensive overview of LLMs, covering their theoretical foundations, practical applications, and future directions.
Explores the evolution of RPA to include cognitive automation, highlighting real-world implementations and the risks and benefits involved. It provides a deeper understanding of the advanced forms of automation and their impact on enterprises. It's a good resource for those looking beyond basic RPA.
Explores how humans and machines can collaborate effectively in the age of AI. It provides valuable insights into the practical application of AI in business processes and the transformation of work, directly relevant to AI automation. It's a useful resource for understanding the strategic implications of AI and is particularly valuable for professionals.
Reinforcement learning key paradigm for developing intelligent agents that can learn to make sequential decisions by interacting with their environment. is the classic text on the subject, providing a comprehensive introduction to the core concepts and algorithms used in training agents. It must-read for anyone focusing on learning agents.
Through case studies, this book illustrates how organizations are successfully implementing AI to augment human capabilities. It provides practical examples of AI automation in action and highlights the importance of human-AI collaboration. It's a valuable resource for professionals seeking to understand real-world applications.
A hands-on guide specifically for developers, this book delves into the technology behind LLMs and provides practical guidance for building intelligent agents and applications. It's highly relevant for those looking to implement AI agents using LLMs.
Offers a structured, bite-sized approach to learning the fundamentals of Microsoft Azure. It's designed for beginners and provides practical exercises to quickly gain hands-on experience with key Azure services. Excellent for those looking for a practical introduction to Azure.
This forthcoming book (at the time of this response, available in early access) focuses on building multi-agent systems using the AutoGen framework. It is highly relevant for those interested in practical, contemporary applications of MAS and AI agents, particularly software developers and engineers.
Specifically addresses the impact of AI and automation on the future of work. It explores how jobs and the workplace are changing and provides insights into navigating this transition. It's highly relevant for anyone concerned with the employment implications of AI automation.
This biography provides a comprehensive look at Bill Gates and the early years of Microsoft. It's a foundational text for understanding the origins and initial growth of the company, offering insights into the personalities and decisions that shaped its trajectory. is valuable for gaining broad historical understanding and is suitable for all audience levels.
Offers a practical approach to designing and implementing single and multi-agent systems, particularly in the context of generative AI. It helps bridge the gap between theoretical concepts and real-world deployment of AI agents. It is highly relevant for understanding contemporary applications.
Focuses on leveraging process automation technology, including workflow engines, to orchestrate various components like software, humans, and bots. It provides practical advice and explores how process automation fits into modern IT architectures. It is suitable for developers and architects.
Focuses on building applications and agents using Large Language Models. It's a practical guide for developers looking to leverage LLMs in creating intelligent agents. It provides hands-on knowledge relevant to contemporary AI agent development.
Is designed to make deep learning accessible to coders with a focus on practical applications using the fastai library and PyTorch. It's an excellent resource for those who want to implement deep learning models for automation tasks. It's a hands-on guide suitable for developers and students.
This handbook provides a practical guide for business leaders on applying AI within their organizations. It covers identifying opportunities for AI automation and implementing AI projects. It's geared towards a professional audience looking for actionable insights.
This book, expected in 2025, focuses on embodied multi-agent systems, particularly in robotics. It covers perception, action, and learning, offering a unified framework. It is highly relevant for graduate students and researchers in robotics and machine learning interested in physical agent systems.
This collection of articles from Harvard Business Review provides insights into the latest developments and implications of generative AI. It's relevant for understanding contemporary topics in AI that are driving new forms of automation. It's a good resource for professionals and business leaders.
Analyzes AI through an economic lens, explaining how the falling cost of prediction impacts business strategy. It provides a framework for understanding the economic forces driving AI automation and its business implications. It's particularly relevant for those interested in the strategic and economic aspects.
Considered a classic, this book offers a detailed, inside look at the development of Windows NT, a foundational operating system for Microsoft. While published some time ago, it provides essential historical context on Microsoft's engineering culture and the challenges of large-scale software development. It's particularly relevant for those interested in the technical history of Microsoft and its key products.
A beginner-friendly guide to Microsoft Azure, the company's significant cloud computing platform. is ideal for those new to Azure, providing a broad understanding of its core services and capabilities, directly supporting learning related to cloud and data management courses. It serves as a good starting point for technical understanding.
Covers the fundamental concepts of Microsoft networking. Directly relevant to the 'Microsoft Networking Fundamentals' course, it provides essential technical knowledge for understanding how Microsoft technologies function in a networked environment. Suitable for beginners and those seeking foundational networking knowledge within the Microsoft ecosystem.
Examines the transformative role of autonomous intelligent systems in business and the workplace. It explores the concepts of autonomy and collaborative intelligence in AI agents and their potential impact on various industries. It's a good resource for understanding the broader implications and applications of agentic AI.
Is specifically aimed at business leaders, providing a guide to understanding and implementing AI for business growth. It covers the strategic implications of AI automation and how to leverage it effectively within an organization. It's a valuable resource for decision-makers.
This playbook focuses on leveraging Microsoft's Power Platform, including Power Automate, for digital transformation and automation. It is highly relevant given the mention of Power Automate courses. It provides guidance on using a specific popular automation platform.
This guide provides a comprehensive look at BPM, covering frameworks and methodologies for implementing process improvements. It useful resource for anyone involved in managing and optimizing business processes, which is directly applicable to workflow automation projects. It offers practical guidance for practitioners.
Provides a practical introduction to machine learning using Python and the scikit-learn library. It's a good starting point for understanding the fundamental machine learning techniques that are often used in building AI automation systems. It's suitable for beginners with some programming experience.
Focusing on Infrastructure as a Service (IaaS) within Azure, this book provides practical guidance for migrating to and building scalable cloud solutions. It's more technical and suited for those looking to deepen their understanding of a specific, crucial aspect of Microsoft's cloud offerings. Valuable for undergraduate and graduate students, and professionals.
This handbook provides a comprehensive overview of research on multi-agent systems, with a focus on organizational models. It covers various perspectives and valuable reference for researchers and advanced practitioners interested in the structure and dynamics of agent organizations.
Explores the different schools of thought in machine learning and the potential for a unifying algorithm. It provides a good overview of the various approaches to AI and machine learning relevant to automation. It's a thought-provoking read for those interested in the future direction of AI.
A practical guide aimed at a broad audience, this book introduces the concept of AI agents powered by generative AI and LLMs. It covers the core building blocks and provides a framework for designing and deploying agents, making it suitable for beginners and those new to the technical aspects.
This comprehensive handbook includes a chapter on LLMs, providing a thorough overview of their history, evolution, and applications.
Provides a practical, hands-on approach to workflow automation using Zapier, a popular no-code tool. It is ideal for beginners and those looking to automate tasks without extensive coding knowledge. It offers step-by-step guidance and real-world examples.
Foundational text in workflow modeling, providing tools and techniques for analyzing and improving business processes. While published some time ago, the principles of workflow modeling remain highly relevant for designing effective automation solutions. It's a valuable reference for understanding process design.
Dives into the critical area of identity and access management within Microsoft Azure. Given the focus on Zero Trust security in the course list, this book is highly relevant for understanding how Microsoft addresses security in the cloud. It more specialized and technical read, suitable for advanced students and professionals.
This classic book introduces the concepts and principles of RESTful web APIs, providing a solid foundation for understanding API deployment. It covers topics such as resource representation, HTTP methods, and caching.

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