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Henryk Brzozowski

Most people think building Voice AI requires years of programming experience. That's completely wrong. The instructor of this course has built his first 50 production systems for businesses, only using no-code platforms.

In this complete beginner course, you'll discover how to create Voice AI and the foundations. We got into the what, how and why of each part, so that everything makes sense.

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Most people think building Voice AI requires years of programming experience. That's completely wrong. The instructor of this course has built his first 50 production systems for businesses, only using no-code platforms.

In this complete beginner course, you'll discover how to create Voice AI and the foundations. We got into the what, how and why of each part, so that everything makes sense.

What You'll Build: - Your first Voice AI agent from scratch (even if you've never touched AI before) - AI agents with "superpowers" that can access real-time information - Connecting with a real phone number- Learn how to leverage no code platforms

What You'll Learn:

  • The foundations of Voice AI and how agents actually work

  • How to connect your AI agent to real phone numbers

  • The principles of "prompt engineering" to make your AI smarter

  • No code techniques for real business use cases

  • Get hands on with building an real life use case

Perfect For:

  • Complete beginners who want to explore Voice AI

  • Entrepreneurs looking to automate customer interactions

  • Anyone curious about the future of AI communication

  • Business owners who want to reduce phone handling costs

No Experience Required: I'll teach you everything step-by-step, from the absolute basics to advanced implementations.

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What's inside

Learning objectives

  • Build your first voice ai agent
  • Be able to explain what an ai agent is
  • Give your voice ai agent "superpowers"
  • Connect with a real phone call
  • Explore how voice ai agents actually work
  • Set up your very own agent and learn the best practices
  • Get hands on with setting up basic automations for a real life use case
  • Learn the foundations to create voice ai agents for yourself, others & businesses
  • Learn the principles of 'prompt engineering'
  • How to build projects with no coding or prior experience
  • Learn how to leverage no code platforms like vapi and n8n to create projects
  • Show more
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Syllabus

Introduction
Welcome & Intro
See & Hear What's Possible
Build their first Voice AI agent and understand what they are
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Checking if we understood the main vocabulary terms

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Career center

Learners who complete Ultimate Voice AI Course for Complete Beginners (No code) 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 Ultimate Voice AI Course for Complete Beginners (No code).
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
This comprehensive handbook covers the entire field of robotics and automation, from the basics to the latest developments. It is an essential resource for anyone who wants to learn about this rapidly growing field.
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.
Dives deep into the complexities of systems with multiple interacting agents. It covers algorithmic, game-theoretic, and logical foundations, which are crucial for understanding how agents behave and coordinate in complex environments. It valuable reference for those looking to deepen their understanding beyond single-agent systems.
Provides a comprehensive overview of customer interaction management, covering topics such as customer relationship management, customer service, and customer experience management. It valuable resource for anyone who wants to improve their understanding of customer interaction and develop strategies to improve customer satisfaction and loyalty.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
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.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
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.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
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 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.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
While not solely focused on No-Code development, this book explores the principles of Lean software development and DevOps, which are highly relevant to the No-Code approach. It provides valuable insights into agile methodologies, continuous delivery, and building high-performing technology teams.
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.
Provides a solid introduction to the field of multiagent systems, covering key concepts, architectures, and applications. It's more accessible than some of the deeper theoretical texts and serves as an excellent starting point for understanding the principles behind multiple interacting intelligent agents.
This guide offers quick tips and tricks for prompt engineering across different generative AI models, including text and image generation models. It's a practical resource for users who want to improve their immediate results with various AI tools. It's suitable for all levels looking for actionable advice.
Covers the fundamentals of business process automation, including its benefits, challenges, and best practices. It is written by two academics with extensive experience in the field and good choice for students and professionals who want to learn more about business process automation.
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 report by Forrester provides an in-depth analysis of the No-Code/Low-Code market, including its key trends, challenges, and vendor landscape. It offers valuable insights for business leaders and IT professionals considering adopting No-Code solutions.
While not solely focused on prompt engineering, this book provides a strong foundation in understanding how LLMs work, which is essential for effective prompting. It's suitable for undergraduate and graduate students, offering technical insights into language understanding and generation. It serves as valuable background reading for those wanting to understand the underlying mechanisms of the models they are prompting. Expected publication in September 2024.
Explores prompt engineering within the broader context of generative AI and touches upon ethical considerations. It's relevant for all levels, providing a balanced view of the technical aspects and the societal impact of generative AI. It's useful for gaining a broader understanding and considering the responsible use of AI.
This handbook is geared towards engineers working with LLMs, covering the process from concept to production. It provides a deeper technical understanding of integrating and managing LLMs, which is relevant for prompt engineers working in a development context. It is best suited for graduate students and working professionals.
Teaches you how to use deep learning to automate tasks in a variety of domains, such as computer vision, natural language processing, and speech recognition.
Provides a comprehensive overview of customer interaction management from a strategic perspective. It covers topics such as customer segmentation, customer targeting, and customer relationship management. It valuable resource for anyone who wants to develop a strategic approach to customer interaction and improve customer satisfaction and loyalty.
Delves into the logical foundations for reasoning about the properties and behavior of rational agents, particularly focusing on the Belief-Desire-Intention (BDI) model. It is more theoretical and suited for those who want to understand the formal underpinnings of agent systems.
While not solely focused on agents, this book covers building AI applications with foundation models, which are integral to many modern AI agents. It provides essential context and knowledge for developing and deploying AI systems that can act as agents.
Covers the broader field of AI engineering with a focus on foundation models, which include the LLMs used in prompt engineering. It's relevant for professionals and graduate students interested in the engineering aspects of building AI applications. It provides context on how prompt engineering fits into larger AI systems.
This classic and widely-referenced textbook in the field of NLP. While it predates the latest advancements in LLMs and prompt engineering, it provides a foundational understanding of language processing, which is crucial for anyone serious about the field. It's highly recommended for undergraduate and graduate students as a comprehensive reference for core NLP concepts.
Focuses on the practical aspects of building NLP systems. While prompt engineering specific technique, understanding the entire NLP pipeline is beneficial for professionals. It's a good reference for those looking to implement prompt engineering within larger NLP applications.
Teaches you how to use Python to automate tasks in a variety of domains, such as web scraping, data analysis, and software testing.
For those who want to understand the mechanics of LLMs deeply, this book guides you through building one from scratch. This is highly technical and suitable for advanced undergraduate students, graduate students, and researchers. A deep understanding of LLM architecture is beneficial for advanced prompt engineering techniques.
Is specifically aimed at educators but offers valuable insights into crafting prompts for educational purposes. It's relevant for anyone interested in using prompt engineering in a learning context. It provides practical strategies and examples for a specific application domain.
Explores the potential future impact of AI agents across various industries. It discusses the design principles for effective AI agents and considers ethical implications and use cases. It provides a forward-looking perspective on the role of AI agents.
Provides a comprehensive overview of customer interaction in the service economy. It covers topics such as service quality, customer satisfaction, and customer loyalty. It valuable resource for anyone who wants to learn how to improve customer interaction and build stronger customer relationships in a service-based economy.
Provides a practical guide to creating a customer-focused culture in any organization. It covers topics such as customer service measurement, employee empowerment, and customer experience management. It valuable resource for anyone who wants to improve their customer service and create a more positive customer experience.
Widely used introduction to NLP using the NLTK library in Python. It's excellent for beginners and undergraduate students to gain practical skills in processing and analyzing text data, which fundamental prerequisite for prompt engineering. It serves as a hands-on guide for learning the basics of NLP.
Delves into the societal and economic impact of AI agents on the future of work. It examines how AI agents will redefine employment and reshape industries, discussing both the opportunities and challenges. It's a relevant read for understanding the broader context and implications of AI agents.
A foundational text in statistical NLP, this book provides the theoretical background necessary for understanding many of the techniques used in modern LLMs. It's a valuable resource for graduate students and researchers looking to deepen their understanding of the statistical underpinnings of language models. It is more theoretical and serves as a strong reference for advanced learners.
Explores the convergence of AI agents with other emerging technologies like Blockchain and Quantum Computing. It offers a forward-looking perspective on the potential of these integrated technologies to revolutionize industries. It's relevant for those interested in the future trajectory of AI agents.
A beginner-friendly guide to using ChatGPT. is ideal for high school students and those new to generative AI who want a straightforward introduction to interacting with models. It focuses on practical usage and good starting point before diving into more complex prompt engineering concepts.
Often referred to as a foundational text in AI, this book explores themes of intelligence, consciousness, and computation through the lens of self-reference and 'strange loops'. While not directly about building AI agents, it provides deep philosophical and theoretical background relevant to the nature of artificial intelligence and agency. It's a classic that offers a broader perspective.
Provides a practical guide to mapping the customer experience journey. It covers topics such as customer journey mapping, customer experience measurement, and customer feedback management. It valuable resource for anyone who wants to improve their customer experience and create a more positive customer experience.
Provides a comprehensive overview of reinforcement learning, including its theory, algorithms, and applications.

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