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Training Dialogflow 2026 - Creating Conversational AI Chatbots

Ref: UNL697
10 people max.
4375€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the fundamentals of Dialogflow 2026 to design professional conversational agents
  • Develop intents and entities tailored to certified enterprise needs
  • Implement natural dialogue flows with fulfillment and webhooks
  • Integrate Dialogflow 2026 into real web and mobile applications
  • Optimize chatbots for high-performing user experiences in production
  • Acquire certified skills in conversational AI for professional transition

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Dialogflow 2026 Fundamentals: Creating Your First Conversational Agent (Google Cloud Console, Basic Intents)

Immersive discovery of the Dialogflow 2026 console, quick creation of your first AI agent, definition of simple intents with concrete enterprise examples, NLU model training on real user phrases, interactive tests in the simulator to validate responses, practical exercises on a customer service case, production of a basic functional agent with initial documentation.

Module 2Entities and Contexts in Dialogflow 2026: Enriching Intelligent Dialogues (Parameters, Slot Filling)

Deep dive into system and custom entities in Dialogflow 2026, creation of dynamic entities to capture precise data like names or dates, management of contexts for smooth multi-turn conversations, exercises on real e-commerce scenarios, implementation of slot filling with validation, advanced tests in debug mode, delivery of a contextualized flow ready for enterprise integration.

Module 3Fulfillment in Dialogflow 2026: Connecting to Real Backends (Webhooks, Node.js)

Configuration of fulfillment with Dialogflow 2026 webhooks, development of simple Node.js handlers for dynamic responses, connection to external APIs like databases or CRM, practical cases on automated customer support, real-time HTTP call debugging, collaborative exercises to simulate business flows, generation of a functional webhook with integrated logs and monitoring.

Module 4Dialogflow 2026 Integrations: Deployment on Web and Mobile (Google Assistant, Messenger)

Exploration of native Dialogflow 2026 integrations with websites via widgets, connection to Messenger and Telegram for multi-channel, deployment on Google Assistant with custom actions, cross-platform tests on real devices, optimization for voice and text in enterprise settings, practical project for a multi-channel chatbot, production of a production-ready embeddable with analytics.

Module 5Optimization and Production in Dialogflow 2026: Analytics, Security, and Scaling (Monitoring, Versioning)

Analysis of Dialogflow 2026 metrics via console analytics to iterate on performance, implementation of versioning and agent exports, data securing with Google Cloud IAM, NLU optimization to reduce errors below 5%, exercises on scaling for high traffic, final review of the red-thread enterprise chatbot project, preparation for certified deployment with maintenance plan.

Evaluation method

  • Multiple-choice quiz to validate Dialogflow 2026 knowledge at end of training
  • Continuous assessment through creation of intents and practical flows
  • Defense of the red-thread chatbot project before the expert trainer

Learning method

  • Courses led by a certified Dialogflow trainer in active professional practice
  • Practical exercises on real enterprise cases in conversational AI
  • Progressive red-thread project for a complete and deployable chatbot
  • Detailed course materials provided to each participant with resources

Methods, materials and delivery

The Training Dialogflow 2026 - Creating Conversational AI Chatbots program is delivered onsite or remote (blended-learning, e-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 2026 - Creating Conversational 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 2026 - Creating Conversational 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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