Synopsis
Chapter 1: Introducing Chatbots
Chapter Goal: Make the user get familiar with Chatbots.
Sub -Topics
1. Do's and Don'ts in Chatbots
2. What are the limitations of chatbots and how we should solve them?
3. What are different kind of chatbots ? Where do they fit in ?
Chapter 2: Natural Language Processing
Chapter Goal: Be able to do custom natural language processing platform for your chatbots
Sub - Topics
1. Installation of NLTK and methods in natural language processing.
2. POS Tagging, Stemming, Lemmetization,
3. Logical Semantics
Chapter 3: Chatbot Development
Chapter Goal: Building a chatbot and defining its data constraints
Sub - Topics:
1. Using api.ai platform to create a chatbot
2. Feeding data and defining Intents and entities
Chapter 4: Chatbot Communication
Chapter Goal: Enabling communication with the bot to make the bot respond to your queries.
Sub - Topics:
1. Making our chatbot respond to our queries
2. Integration and Deployment
Chapter 5: Build-Train-Deploy
Chapter Goal: To build, train and deploy a chatbot of your own
Sub - Topics:
1. Getting acclimatize to use open source libraries to train your data
2. Defining Intents and entities on your data
3. Using ML algorithms to predict the intent and take action based on that
4. Using your code in a web app to make a conversational agent.
5. Deploy your app on your own server with AWS
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