Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Training Dialogflow - Developing Advanced Conversational AI Agents
Trusted by — schools, companies and industrial groups
25,736 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Learning objectives
- Master advanced contextual intents in Dialogflow for smooth and personalized enterprise conversations.
- Develop skills in fulfillment and webhooks to integrate Dialogflow with professional certified systems.
- Design composite entities and custom ML to optimize voice and text recognition.
- Implement advanced analytics to measure and improve AI agent performance in production.
- Deploy secure multi-channel agents compatible with Google Cloud and external partners.
- Optimize professional training on Dialogflow for rapid and effective team certification.
Program
Module 1Advanced Dialogflow Intents: Contextual Modeling and Optimized NLU (intents, slots, contexts)
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.
Module 2Dialogflow Entities and ML: Composite Entities, Custom Training (entities, ML agents)
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.
Module 3Dialogflow Fulfillment: Secure Webhooks and Integrations (Node.js, Python, Google Cloud)
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.
Module 4Dialogflow Analytics and Optimization: Advanced Insights and A/B Testing (Analytics, Voice, Sessions)
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.
Module 5Multi-Channel Dialogflow Deployment: Security, Scaling, and Certification (Telegram, Web, Voice, production)
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.
Evaluation method
- Daily interactive quizzes on Dialogflow to validate technical knowledge.
- Final project: complete conversational agent deployed and analyzed.
- Qualiopi certifying attestation with practical achievements portfolio.
Learning method
- 70% hands-on: live coding on shared Dialogflow CX console.
- Real business cases: e-commerce, banking, healthcare for professional immersion.
- Dedicated mentor: unlimited Q&A remotely via Slack/Zoom.
- Post-training resources: videos, templates, alumni community.
Methods, materials and delivery
The Training Dialogflow - Developing Advanced Conversational AI Agents program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Dialogflow - Developing Advanced Conversational AI Agents program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Dialogflow - Developing Advanced Conversational AI Agents program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Frequently asked questions
Which tools are used in Dialogflow training?+
Hands-on work runs on intents, slots, contexts, entities, ML agents and node.js. Those tools come from the Dialogflow program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Dialogflow training?+
They can master advanced contextual intents in Dialogflow for smooth and personalized enterprise conversations, develop skills in fulfillment and webhooks to integrate Dialogflow with professional certified systems and design composite entities and custom ML to optimize voice and text recognition. Those are the stated objectives of the Dialogflow program at Advanced level, checked by the end-of-session assessment.
What does the Dialogflow program cover, day by day?+
Day 1: Advanced Dialogflow Intents: Contextual Modeling and Optimized NLU (intents, slots, contexts). Day 2: Dialogflow Entities and ML: Composite Entities, Custom Training (entities, ML agents). Day 3: Dialogflow Fulfillment: Secure Webhooks and Integrations (Node.js, Python, Google Cloud). Day 4: Dialogflow Analytics and Optimization: Advanced Insights and A/B Testing (Analytics, Voice, Sessions). Day 5: Multi-Channel Dialogflow Deployment: Security, Scaling, and Certification (Telegram, Web, Voice, production). The Dialogflow program runs over 5 days, delivered on site.
How is Dialogflow training assessed?+
Assessment relies on daily interactive quizzes on Dialogflow to validate technical knowledge, final project: complete conversational agent deployed and analyzed and qualiopi certifying attestation with practical achievements portfolio. Learni issues a completion certificate together with the individual assessment report at the end of the Dialogflow program, which an L&D team can file as evidence.
How much does Dialogflow training cost per participant?+
Dialogflow training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does Dialogflow training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Dialogflow training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Dialogflow training?+
Mastery of Dialogflow CX/ES basics, JavaScript or Python programming, knowledge of AI and REST APIs, experience in web or mobile app development.
Is a certificate issued after Dialogflow training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
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