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Updated in [March 06th, 2023]

[Course Overview]
This course provides an in-depth exploration of the Microsoft Bot Framework and Conversation as a Platform. It covers the fundamentals of bot development, including the tools and services available in the Microsoft Bot Framework, Azure Bot Service, Microsoft Language Understanding (LUIS), and Microsoft QnA Maker. It also covers the latest best practices of bot design and development principles, and how to create Node.js bots that can run on any platform and numerous third-party channels. Finally, the course covers how to create a Cortana Skills bot that leverages leading edge artificial intelligence, machine learning, and natural language understanding.


[Why to Learn]
Learning the Microsoft Bot Framework and Conversation as a Platform is essential for developers who want to create powerful, intelligent, AI-infused bot experiences. This course provides an in-depth exploration of the Microsoft Bot Framework and Conversation as a Platform, and covers the fundamentals of bot development, including the tools and services available in the Microsoft Bot Framework, Azure Bot Service, Microsoft Language Understanding (LUIS), and Microsoft QnA Maker. It also covers the latest best practices of bot design and development principles, and how to create Node.js bots that can run on any platform and numerous third-party channels. Finally, the course covers how to create a Cortana Skills bot that leverages leading edge artificial intelligence, machine learning, and natural language understanding.


[Development Paths]
This course provides a comprehensive overview of the Microsoft Bot Framework and Conversation as a Platform, and covers the fundamentals of bot development, including the tools and services available in the Microsoft Bot Framework, Azure Bot Service, Microsoft Language Understanding (LUIS), and Microsoft QnA Maker. It also covers the latest best practices of bot design and development principles, and how to create Node.js bots that can run on any platform and numerous third-party channels. Finally, the course covers how to create a Cortana Skills bot that leverages leading edge artificial intelligence, machine learning, and natural language understanding. After completing this course, learners will have the skills and knowledge to create powerful, intelligent, AI-infused bot experiences.


[Related Learning Suggestions]
Learners who are interested in learning more about the Microsoft Bot Framework and Conversation as a Platform may want to consider taking additional courses such as Microsoft Bot Framework: Building Bots with Node.js, Microsoft Bot Framework: Building Bots with C#, and Microsoft Bot Framework: Building Bots with Python. These courses provide an in-depth exploration of the Microsoft Bot Framework and Conversation as a Platform, and cover the fundamentals of bot development, including the tools and services available in the Microsoft Bot Framework, Azure Bot Service, Microsoft Language Understanding (LUIS), and Microsoft QnA Maker. They also cover the latest best practices of bot design and development principles, and how to create Node.js, C#, and Python bots that can run on any platform and numerous third-party channels. Finally, the courses cover how to create a Cortana Skills bot that leverages leading edge artificial intelligence, machine learning, and natural language understanding.

[Applications]
Upon completion of this course, participants will be able to apply their knowledge of the Microsoft Bot Framework and Conversation as a Platform to create powerful, intelligent, AI-infused bot experiences. Participants will be able to leverage the Microsoft Bot Framework to create, integrate, and manage a wide variety of bots and bot experiences that interact with users naturally. They will also be able to use Azure Bot Service to provision every resource required for production bots at the same time, as an integrated collection of services. Additionally, participants will be able to use Microsoft Language Understanding (LUIS) to create language models and add natural language understanding to bot experiences, and Microsoft QnA Maker to develop “question and answer” bots. Finally, participants will be able to create Cortana Skills bots that leverage leading edge artificial intelligence, machine learning, and natural language understanding.

[Career Paths]
1. Bot Developer: Bot developers are responsible for designing, developing, and deploying bots that interact with users in natural language. They must have a strong understanding of the Microsoft Bot Framework, Azure Bot Service, and Microsoft Language Understanding (LUIS). They must also be proficient in a C-based programming language such as C, C#, C++, or Java. As the demand for bots continues to grow, the need for experienced bot developers is expected to increase.

2. Bot Designer: Bot designers are responsible for creating the user experience for bots. They must have a strong understanding of user experience design principles and be able to create engaging and intuitive user interfaces. They must also have a good understanding of the Microsoft Bot Framework and Azure Bot Service. As the demand for bots continues to grow, the need for experienced bot designers is expected to increase.

3. Bot Tester: Bot testers are responsible for testing bots to ensure they are functioning correctly and meeting the requirements of the user. They must have a strong understanding of the Microsoft Bot Framework and Azure Bot Service, as well as experience with automated testing tools. As the demand for bots continues to grow, the need for experienced bot testers is expected to increase.

4. AI Engineer: AI engineers are responsible for developing and deploying AI-based solutions. They must have a strong understanding of AI technologies such as machine learning, natural language processing, and computer vision. They must also have a good understanding of the Microsoft Bot Framework and Azure Bot Service. As the demand for AI-based solutions continues to grow, the need for experienced AI engineers is expected to increase.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Students will also learn about the latest trends in artificial intelligence, machine learning, and natural language processing.

2. Master of Science in Artificial Intelligence: This degree program focuses on the development of artificial intelligence systems and their applications. Students will learn about the latest advances in AI, including deep learning, natural language processing, and computer vision.

3. Master of Science in Data Science: This degree program focuses on the development of data-driven solutions for businesses and organizations. Students will learn about data mining, machine learning, and predictive analytics.

Developing Trends:
1. Automation: Automation is becoming increasingly important in the development of AI-driven solutions. Automation technologies such as robotic process automation (RPA) and natural language processing (NLP) are being used to automate mundane tasks and improve efficiency.

2. Machine Learning: Machine learning is a subset of artificial intelligence that focuses on the development of algorithms that can learn from data. Machine learning algorithms are being used to develop AI-driven solutions for a variety of applications, including computer vision, natural language processing, and predictive analytics.

3. Natural Language Processing: Natural language processing (NLP) is a field of artificial intelligence that focuses on the development of algorithms that can understand and process natural language. NLP is being used to develop AI-driven solutions for a variety of applications, including chatbots, voice assistants, and automated customer service.