This Ticket includes food, snacks, tea/coffee and certificate of participation.
Sale Date Ended
Is your Chatbot intelligent enough to assist beyond answering simple questions?
Are you planning to use chatbot for your product to provide virtual assistance to your users?
Let's make more intelligent Chatbots with NLP and contextual AI to assist beyond answering simple questions by using Google Dialogflow and Rasa open source framework.
In SkillPencil's 2-day Chatbot BootCamp you will learn how to use Google DialogFlow and Rasa Framework to explore chatbots beyond there capabilities.
What you see and experienced so far is just the beginning of what is forecast to be a billion-dollar industry in less than 10 years. Many top brands, including Uber, Sephora, and CNN, have already adopted chatbots.
About the Instructor:
Yogesh Kothiya is an NLP Engineer, working in IMIMobile.
He wanted to explore the upcoming field of AI and hence joined the IMImobile R&D team as an NLP developer(Chatbot) after dropping high paying job as a Chip design engineer at Synopsys.
He has been making Chatbots from last 1.5 years. He made bots for the big brands like IKEA(UK) and British telecom. He is passionate to make intelligent bots hence exploring all areas of NLP(part of ML).
TOPICS TO BE COVERED IN THE BOOTCAMP
1. Past, Present, and Future about the chatbot
- The evolution of bots.
2. Chatbot Vs Apps
- How chatbots are different from apps and why it is here to stay?
3. The design framework for chatbots
- Everything from Scope of a bot, Personality to Interaction design.
4. Hands-on Chatbots with Google Dialogflow (former API.ai)
> Introducing Dialogflow
> Setting up Dialogflow
- Building blocks of Interaction Models
> Creating Your First Agent and exploring its first setting.
> Defining custom Intent and using default Intent
> System entities and developer entities
- Setting up Dialogs
> Designing linear and Non-linear dialogs
- Fulfilments, Deployment, and 3rd Party Integration.
> Setting up webhook, API and deploying on Heroku.
> Connect with messaging channel.
5. Hands-on Chatbots with RASA(Open source)
> Getting started with Rasa stack
> Installing Rasa
- Building Rasa NLU Model
> Choosing RASA NLU pipeline
> Preparing Training data
> Preparing model, Evaluating and Improving model.
- Building Rasa Core Model
> Get to know High-Level Architecture.
> Setting up Action.
> Understand Slots, slot filling and define bot responses.
> Training, Evaluating and Testing
- Connecting bot to chat platform.
Why Build a Chatbot?
-Chatbot have a higher open rate than emails
-29% people contact retailers via chatbot for making a purchase decision.
-63 percent of people would consider messaging an online chatbot to communicate with a business or brand
-There Are More than 30,000 Facebook Chatbots
-Consumers Are Ready to Buy Things via Chatbots
-Consumers Want Recommendations From Chatbots
-Chatbots Will Be Indistinguishable From Humans by 2029
-Learn to make chatbots with Google DialogFlow and Rasa Framework.
-Post Bootcamp queries resolving and assistance
-support in internship/projects.
-Lifetime SkillPencil Community membership for further assistance.
WHO CAN ATTEND-
- College students and freshers with coding skills in python.
- Product Managers
- Coders and Developers who are planning to offer chatbot/live chat for websites.
-Knowledge of Python programming.
NOTE: FOOD for both the days and Goodies are included in the Ticket.