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The Google Dialogflow course offers comprehensive training on creating intelligent chatbots and virtual agents using Google's Dialogflow platform. This course is designed to help learners understand the core concepts of Dialogflow, including designing and developing chatbots that can converse naturally with users and integrate with various external services.
Through a structured curriculum across different modules, participants will learn how to create Dialogflow agents, understand and implement intents and entities, manage contexts and events, and connect Dialogflow to databases and third-party APIs. Advanced topics such as utilizing machine learning for intent classification, sentiment analysis, and deploying Dialogflow agents on various platforms like Google Cloud and AWS are also covered.
Upon completion of the course, learners will be equipped with the best practices for designing intuitive conversation flows, optimizing for natural language understanding, and securing agents. They will also gain skills in testing, debugging, deploying, and analyzing the performance of Dialogflow agents to build sophisticated conversational experiences. This course ensures learners are well-prepared to utilize Dialogflow effectively and innovatively in various real-world applications.
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The Google Dialogflow course by Koenig Solutions is designed for professionals aiming to build and deploy sophisticated chatbots and virtual agents.
Gain expertise in creating, deploying, and optimizing intelligent chatbots using Google Dialogflow, with a focus on natural language understanding, integration with external services, and best practices in AI conversational experiences.