Speech and natural language processing capabilities can enhance many apps and services, from building a chatbot to modernizing your call centre to making your application more accessible to low-vision users or a global population. This week we will focus on how the speech transcription, translation, and language understanding capabilities of Azure AI can be applied to solve a range of business challenges. We'll walk you through two common challenges starting with an overview of each use case at the enterprise level, followed by in-depth training on the AI components of a successful solution. Then practice your new learnings using our sample code to build solutions for common user scenarios.

What we are covering:

• Build a chatbot
• Create speech-enabled apps with the Azure Cognitive Speech service
• Some examples like - create an intelligent call centre app, Travel journal app, and virtual assistant app

Further Learning :
https://aka.ms/AZconversationalAI-LM-11/3
https://aka.ms/AzureChatBot-LM-11/3
https://aka.ms/AZ-NLP-LM-11/3
https://aka.ms/CommunityRegistration-11/3

Speaker: Vivek Sridhar is a technophile and an Open-Source contributor with around 15+ years of experience in the Software Industry and works at Microsoft as a Senior Cloud Advocate, Cloud + AI engineering team. In his previous role, he has mentored startups/developers, speaker at conferences/meetups for DigitalOcean as Senior Developer Advocate, Co-Founder / Chief-Architect of NoodleNext Technology. He was also heading DevOps and QA at BlackBuck and was a DevOps Solution Architect at HCL (Australia) in client engagement. Vivek started his career with IBM Rational (India Software Labs) as a Software Developer.

Connect with Vivek on Twitter - https://twitter.com/vivek_sridhar