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Azure Bot Service
Cognitive Services
Conversational AI
Virtual Assistant
Chatbots
Natural Language Processing
Machine Learning
Register for this course and see more details by visiting:
OpenCourser.com/course/0b3lam/a
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Suitable for Individuals and Organizations
Provides Tools for Tailoring Conversational Assistants
Covers Full Range of Components for Conversational AI
Led by Insiders in Azure and Cognitive Services
Builds on the Open Source Virtual Assistant
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Activities
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A Deep-dive into Conversational AI using Azure Bot Service and Cognitive Services.
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Career center
Learners who complete A Deep-dive into Conversational AI using Azure Bot Service and Cognitive Services will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers research, design, develop, test, deploy, maintain, and manage AI systems and solutions. Knowledge gained from this course may help an AI Engineer design conversational AI solutions using Microsoft Azure tools, enabling them to develop tailored and personalized virtual assistants for various industries and platforms.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, test, deploy, and maintain machine learning models and systems. This course provides foundational knowledge in conversational AI, which is a rapidly growing field within machine learning. It covers the latest tools from Azure Bot Service and Cognitive Services, empowering Machine Learning Engineers to build end-to-end conversational AI solutions.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. The course content on building conversational AI solutions using Azure Bot Service and Cognitive Services may be of interest to Data Scientists seeking to develop AI-powered chatbots and virtual assistants for data analysis and visualization.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. The course provides hands-on experience in building conversational AI solutions using Azure Bot Service and Cognitive Services. This can enhance the skillset of Software Engineers looking to specialize in developing intelligent and interactive user interfaces for various applications.
Product Manager
Product Manager
Product Managers are responsible for defining the vision, roadmap, and features of products. This course provides insights into the latest conversational AI technologies and their applications across industries. It can be beneficial for Product Managers who want to stay abreast of emerging trends and incorporate conversational AI into their product offerings.
UX Designer
UX Designer
UX Designers focus on enhancing the user experience of products and services. The course covers the principles of designing conversational interfaces and leveraging Azure Bot Service and Cognitive Services to create intuitive and engaging user experiences. It can provide valuable knowledge for UX Designers seeking to specialize in conversational AI applications.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve processes and operations. The course provides an understanding of how conversational AI can enhance customer interactions, automate tasks, and streamline workflows. This knowledge can be useful for Business Analysts who want to explore the integration of AI into business processes.
Technical Writer
Technical Writer
Technical Writers create documentation, manuals, and other materials to explain complex technical concepts. This course delves into the technical aspects of building conversational AI solutions. It can provide valuable insights for Technical Writers who want to specialize in documenting and explaining AI-powered applications.
IT Architect
IT Architect
IT Architects design, plan, and implement IT infrastructure and systems. The course covers the integration of conversational AI solutions within IT architectures. It can benefit IT Architects who want to incorporate AI-powered chatbots and virtual assistants into their designs for improved customer service and operational efficiency.
Project Manager
Project Manager
Project Managers plan, execute, and monitor projects to ensure their successful completion. This course can provide Project Managers with an understanding of the key considerations and best practices involved in managing conversational AI projects. It can help them effectively lead teams and deliver successful AI-powered solutions.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software products to ensure they meet quality standards. The course provides insights into testing techniques for conversational AI solutions. It can be beneficial for Quality Assurance Analysts who want to specialize in testing AI-powered applications and chatbots.
Customer Success Manager
Customer Success Manager
Customer Success Managers ensure customer satisfaction and drive product adoption. This course provides knowledge about the benefits and applications of conversational AI in customer service and support. It can help Customer Success Managers understand how to leverage AI-powered chatbots and virtual assistants to improve customer experiences and outcomes.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. The course offers insights into how conversational AI can enhance marketing efforts. It can benefit Marketing Managers who want to explore the use of chatbots and virtual assistants for lead generation, customer engagement, and personalized marketing campaigns.
Sales Manager
Sales Manager
Sales Managers lead and motivate sales teams to achieve revenue targets. The course provides an understanding of how conversational AI can improve sales processes. It can be beneficial for Sales Managers who want to adopt AI-powered chatbots and virtual assistants to automate lead qualification, provide personalized recommendations, and enhance customer interactions.
Call Center Representative
Call Center Representative
Call Center Representatives provide customer support and handle inquiries over the phone. The course sheds light on the integration of conversational AI into call center operations. It can be useful for Call Center Representatives who want to learn about using AI-powered chatbots and virtual assistants to streamline customer interactions, improve efficiency, and enhance customer satisfaction.
For more career information including salaries, visit:
OpenCourser.com/course/0b3lam/a
Reading list
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While not directly related to Azure Bot Service, this book provides valuable insights into natural language processing techniques, which are foundational for building conversational AI. It covers a wide range of transformer-based models and their applications in various NLP tasks.
This classic book on software development provides valuable principles and practices that can be applied to Conversational AI development as well. It offers insights into software design, architecture, and testing, which are essential for building robust and maintainable bots.
This comprehensive textbook provides a comprehensive overview of speech and language processing, which are foundational areas for Conversational AI. It covers topics such as acoustic modeling, language modeling, and speech recognition, which are essential for building bots that can understand and respond to human speech.
Provides a comprehensive guide to developing bots using Azure Bot Service. It covers all aspects of bot development, from designing and building bots to deploying and maintaining them.
Provides a comprehensive overview of conversational AI and how to build natural language and AI-powered conversational interfaces using Google Cloud.
Covers the fundamentals of deep learning and neural networks, and can be used to develop a strong understanding of these important AI concepts. It includes a lot of example code and diagrams that can help to improve one's understanding.
Provides a comprehensive introduction to machine learning for beginners, covering the basics of data science, machine learning algorithms, and their applications. It also includes hands-on exercises and projects that can help to improve one's understanding.
Provides a hands-on introduction to machine learning using popular libraries such as Scikit-learn, Keras, and TensorFlow. It covers the basics of machine learning as well as more advanced concepts such as deep learning and natural language processing.
Provides a comprehensive introduction to deep learning using Python and popular libraries such as TensorFlow and Keras. It covers the basics of deep learning as well as more advanced concepts such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive introduction to natural language processing using Python and the popular Natural Language Toolkit library. It covers the basics of natural language processing as well as more advanced concepts such as machine learning for natural language processing.
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Provides a comprehensive introduction to computer vision, covering the basics of image processing, feature detection, and object recognition. It also includes a lot of example code and diagrams that can help to improve one's understanding.
Provides a comprehensive introduction to speech and language processing, covering the basics of speech recognition, natural language processing, and machine translation. It also includes a lot of example code and diagrams that can help to improve one's understanding.
Provides a comprehensive introduction to cognitive science, covering the basics of perception, attention, memory, language, and thought. It also includes a lot of example code and diagrams that can help to improve one's understanding.
Provides a comprehensive introduction to artificial intelligence, covering the basics of machine learning, natural language processing, and computer vision. It also includes a lot of example code and diagrams that can help to improve one's understanding.
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Provides a practical introduction to machine learning for engineers, covering the basics of machine learning as well as more advanced concepts such as deep learning and reinforcement learning.
Provides a comprehensive introduction to statistical learning, covering the basics of supervised learning, unsupervised learning, and reinforcement learning. It also includes a lot of example code and diagrams that can help to improve one's understanding.
Provides a comprehensive introduction to pattern recognition and machine learning, covering the basics of supervised learning, unsupervised learning, and reinforcement learning. It also includes a lot of example code and diagrams that can help to improve one's understanding.
Provides a practical introduction to deep learning for coders, covering the basics of deep learning as well as more advanced concepts such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a practical introduction to machine learning, covering the basics of machine learning as well as more advanced concepts such as deep learning and reinforcement learning.
Provides a quick and easy introduction to deep learning for beginners, covering the basics of deep learning as well as more advanced concepts such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0b3lam/a
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