Here is What You'll Learn
Understand what chatbots are and their industry use cases
Chatbots are being used across different aspects of business and have had many proven records of success. We will comprehensively discuss the transformed alleys across different business functions and industries of sizes.
Know the concept behind Natural Language Understanding (NLU)
Natural Language Understanding (NLU) is defined by Gartner as “the comprehension by computers of the structure and meaning of human language (e.g., English, Spanish, Japanese), allowing users to interact with the computer using natural sentences”.
Learn how conversation flows in a chatbot
Sometimes users don’t know how to ask questions or maybe they simply aren’t used to AI chatbots. To Make it easier for them and have the chatbot take the first step. A friendly welcome message and buttons with suggested questions is a good strategy. The user will be already halfway there and they’ll only have to pick the option they want.
Learn how to write your own chatbot from scratch using open source technologies (Rasa Tech Stack)
The Rasa Stack is a set of open-source NLP tools focused primarily on chatbots. In fact, it’s one of the most effective and time efficient tools to build complex chatbots in minutes.
Understand how to integrate chatbot with web applications
API integration can power your chatbot with seamless user data at any hour of the day. Businesses that rely on bots for primary communication with their customers can integrate their bot with relevant APIs to streamline the business operations. Here we have mentioned how different API integrations can empower your chatbot and streamline important data across teams.
About Anuj Saini
Anuj is a Solutions Architect working with Sapient with 10 years of experience in the area of Data Science. He has worked in various domains like finance, banking, the food industry, and the e-commerce industry. He has a Master's degree in Computer Applications from YMCA.
Anuj's interest areas include building Intelligent Search Engines, Text Mining, and statistical and predictive models. At Sapient, he has been helping clients build recommender systems, personalization, pattern recognition, web crawling, competitive intelligence systems, and with fraud detection.
With extensive experience in Machine Learning using Python and R for building predictive models and data analysis, he has delivered many client projects using Machine Learning and statistical-based modelling.
What People Say
"It was a great experience. The speaker shared great insights about how to solve the problem. GreyAtom also helped me with my journey in Data Science"
Fresher → AI engineer at emotix
"Today, data science enthusiasts and companies read my blogs and applaud for the kind of research I share. All kudos to GreyAtom and team."
Fresher → ML engineer at Quantiphi
"Great curriculum, great mentors! Best 90 minutes of my life. I liked how the concepts were simplified to a point where beginners could understand.
Graduate → Software engineer