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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Dialogflow - Developing Advanced Conversational AI Agents training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Dialogflow - Developing Advanced Conversational AI Agents training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Dialogflow - Developing Advanced Conversational AI Agents training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into multi-turn intents and dynamic contexts in Dialogflow CX, configure smart slots with real-time validation, test via the advanced simulator for natural conversational flows, analyze real e-commerce use cases like complex cart management, build a first functional agent prototype with error reports, integrate user parameters for immediate personalization, while learning best practices for enterprise scaling.
Create hybrid composite entities combining regex, API, and native Dialogflow ML, train ML agents on custom datasets for 95% accurate recognition in sector-specific jargon, implement entity extraction pipelines with smart fallbacks, apply to banking scenarios for fraud detection, generate ML performance reports, optimize via integrated A/B testing, and export models for scalable cloud deployment.
Develop fulfillment webhooks in Node.js and Python for Dialogflow, integrate with Firebase and Google Cloud Functions for dynamic responses, manage OAuth2 authentication and secrets managers, test external API calls like Salesforce CRM, build a real-time monitoring dashboard, simulate high loads with 1000 requests/min, produce modular reusable code for DevOps teams.
Leverage Dialogflow Analytics to track key metrics like 90% completion rates, segment sessions by voice/text channel, set up alerts for user churn, launch A/B tests on variant flows, integrate BigQuery for custom data visualization, analyze failure patterns with conversational heatmaps, optimize live via hot-reload, and generate exportable reports for demonstrated enterprise ROI.
Deploy Dialogflow agents on Telegram, web widgets, and Google Assistant with enforced HTTPS, scale via Kubernetes on Google Cloud for 10k users/day, implement GDPR compliance and advanced logging, test end-to-end with JMeter load tools, finalize a certifying capstone project with GitHub portfolio, receive personalized mentor feedback, and prepare for production with 24/7 monitoring playbook.
Target audience
AI engineers, fullstack developers, digital project managers, product managers seeking to upskill in conversational agents to enhance customer experience in the enterprise.
Prerequisites
Mastery of Dialogflow CX/ES basics, JavaScript or Python programming, knowledge of AI and REST APIs, experience in web or mobile app development.
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