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Training Dialogflow - Developing Advanced AI Chatbots

Course created on July 27, 2026Updated on October 5, 2026

On quote$2,310

2 days
Onsite
10 people max.

Request a quote See the program

Ref: UYR742

10 people max.

On quote$2,310

In-company rate: on quotefrom $4,190 for the whole team

On-site and certification exam on quote

2 days

Onsite

Don't let this gap widen

Why this program matters

Without advanced mastery of Dialogflow, your chatbots fail 65% of complex interactions, resulting in 70% user abandonment and a 25% loss of e-commerce sales.
Non-optimized companies lose an average of 15 hours per week on manual customer support, with AI error costs estimated at 50 000€ annually per project.
In 2024, 82% of recruiters reject profiles lacking expertise in scalable conversational assistants, blocking promotions and career changes.
Every quarter without advanced Dialogflow skills exposes your team to obsolescence against IA-first competitors who convert 40% better.

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 Dialogflow agents to create complex conversational flows in enterprise settings
Develop custom intents and entities for professional, certifying chatbots
Implement secure webhooks and fulfillments with backend integration
Design multi-platform dialogues optimized for voice and text
Deploy and monitor scalable Dialogflow solutions in production
Optimize AI performance with analytics and advanced A/B testing
Acquire certifying skills for innovative enterprise projects

Program

Module 1Dialogflow Architecture: Design Advanced Conversational Agents (complex intents, entities, contexts)

Dive into modeling sophisticated Dialogflow CX agents, defining multi-turn intents with dynamic parameters, creating custom entities via the interface and advanced regex, managing contexts for natural and personalized flows, practical exercises on business cases like a virtual customer assistant, developing branched scenarios with human handover, producing a functional prototype tested in real-time to validate professional skills.

Module 2Dialogflow Integration: Deploy Connected Chatbots (webhooks, external APIs, analytics)

Integrate Dialogflow with Node.js backends via secure webhooks with OAuth authentication, connecting to Firestore databases and third-party services like Twilio for voice, implementing rich fulfillments with cards and quick replies, configuring Google analytics to track sessions and optimize completion rates, practical workshops on production deployment via Google Cloud Functions, load testing and A/B testing, delivery of a deployed enterprise-ready chatbot with monitoring dashboard.

Evaluation method

Technical MCQ on advanced Dialogflow concepts at the end of the training
Practical evaluation through development of a complete conversational agent
Project defense with expert feedback from the trainer

Learning method

Sessions led by a Google-certified Dialogflow expert in practice
Hands-on exercises on real business cases and client projects
Evolving red thread project over two days with continuous iterations
Complete digital pedagogical support and source code examples

Methods, materials and delivery

The Training Dialogflow - Developing Advanced AI Chatbots 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 AI Chatbots 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 AI Chatbots 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.

Step 1

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.

Step 2

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.

Step 3

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.

Step 4

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.

A child walking to school with a backpack

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

Enroll and offer a kit

FAQ

Frequently asked questions

Which tools are used in Dialogflow training?+

Hands-on work runs on complex intents, entities, contexts, webhooks, external APIs and analytics. Those tools come from the Dialogflow program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.

What can participants do after Dialogflow training?+

They can master advanced Dialogflow agents to create complex conversational flows in enterprise settings, develop custom intents and entities for professional, certifying chatbots and implement secure webhooks and fulfillments with backend integration. 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: Dialogflow Architecture: Design Advanced Conversational Agents (complex intents, entities, contexts). Day 2: Dialogflow Integration: Deploy Connected Chatbots (webhooks, external APIs, analytics). The Dialogflow program runs over 2 days, delivered on site.

How is Dialogflow training assessed?+

Assessment relies on technical MCQ on advanced Dialogflow concepts at the end of the training, practical evaluation through development of a complete conversational agent and project defense with expert feedback from the trainer. 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?+

2 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 fundamentals, JavaScript/Node.js, REST APIs, and Google Cloud Platform.

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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