Training Dialogflow 2026 - Creating Conversational AI Chatbots

On quote$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: UNL697
10 people max.
On quote$5,775
In-company rate: on quotefrom $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Dialogflow 2026, companies lose 65% of web leads due to lack of instant responses to customers.

  • Poorly designed chatbots generate 40% cart abandonment in e-commerce, costing thousands of euros per month.

  • In 2026, 82% of recruiters reject profiles without conversational AI skills, stalling careers and career transitions.

  • Teams without training spend 3 times more time on ineffective custom solutions, widening the competitive gap against high-performing automated customer services.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,737 programs · 25 countries

  • Aptar
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  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

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

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, 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

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.

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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 2026 training?+
Hands-on work runs on google Cloud Console, basic Intents, parameters, slot Filling, webhooks and node.js. Those tools come from the Dialogflow 2026 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 2026 training?+
They can master the fundamentals of Dialogflow 2026 to design professional conversational agents, develop intents and entities tailored to certified enterprise needs and implement natural dialogue flows with fulfillment and webhooks. Those are the stated objectives of the Dialogflow 2026 program at Beginner level, checked by the end-of-session assessment.
What does the Dialogflow 2026 program cover, day by day?+
Day 1: Dialogflow 2026 Fundamentals: Creating Your First Conversational Agent (Google Cloud Console, Basic Intents). Day 2: Entities and Contexts in Dialogflow 2026: Enriching Intelligent Dialogues (Parameters, Slot Filling). Day 3: Fulfillment in Dialogflow 2026: Connecting to Real Backends (Webhooks, Node.js). Day 4: Dialogflow 2026 Integrations: Deployment on Web and Mobile (Google Assistant, Messenger). Day 5: Optimization and Production in Dialogflow 2026: Analytics, Security, and Scaling (Monitoring, Versioning). The Dialogflow 2026 program runs over 5 days, delivered on site.
How is Dialogflow 2026 training assessed?+
Assessment relies on multiple-choice quiz to validate Dialogflow 2026 knowledge at end of training, continuous assessment through creation of intents and practical flows and defense of the red-thread chatbot project before the expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Dialogflow 2026 program, which an L&D team can file as evidence.
How much does Dialogflow 2026 training cost per participant?+
Dialogflow 2026 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 2026 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 2026 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 2026 training?+
Basic computer knowledge, familiarity with JSON and web APIs.
Is a certificate issued after Dialogflow 2026 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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