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Quest Training

Building AI Assistants & Business Apps with No-Code and Low-Code Platforms Training Course

Adds AI to no-code and low-code building: business users create AI assistants and AI-enabled apps that classify, summarize, and answer from company content.

AIA · AI Automation & Intelligent WorkflowsAll Levels#3163ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Artificial Intelligence & ApplicationsCategories:AI Automation & Intelligent Workflows

Course Overview

The Building AI Assistants & Business Apps with No-Code and Low-Code Platforms Training Course equips business users, analysts, and digital teams with the practical skills needed to build AI assistants and AI-enabled business applications without traditional software development. No-code and low-code platforms now include generative AI features that can read documents, classify requests, summarize records, draft responses, and answer questions from company content, which puts useful AI solutions within reach of the teams that understand the work best. The course focuses on adding AI to no-code and low-code solutions rather than on no-code development in general or on integrating AI into enterprise resource planning systems. Participants are not taught to build ordinary forms and workflows from scratch, and no coding is required. Instead, they learn to design assistants that answer from approved knowledge sources, apps that use AI to extract, classify, and summarize information, and workflows where AI steps sit alongside human approvals, all within the platforms their organizations already permit. Participants work through the full life of a solution: choosing a suitable use case, preparing knowledge sources and data, writing assistant instructions, designing the user experience, connecting to business data through standard connectors, testing with realistic and difficult cases, and handing the solution over for support. Governance is part of every build: data protection, access rights, environment separation, review of AI outputs, citizen development rules, and the point at which a solution should move to professional developers. All content is platform-neutral and applies within each organization's policies. The course is delivered through guided builds, design exercises, testing clinics, governance reviews, and a final build project based on participants' own processes. Participants leave with a working assistant prototype, an AI-enabled app design, a test plan, a governance checklist, and a solution handover document they can adapt to their own organizations.

Learning Objectives

  • Explain what AI features no-code and low-code platforms offer, how they differ from ordinary app building, and where their limits lie.
  • Select use cases that suit AI assistants and AI-enabled apps built by business users, and rule out those that do not.
  • Prepare knowledge sources and data so that assistants answer from approved content.
  • Write assistant instructions that set scope, tone, boundaries, and escalation to people.
  • Design apps that use AI to extract, classify, and summarize business information from documents, forms, and records.
  • Combine AI steps with human approvals in no-code and low-code workflows.
  • Connect solutions to business data through standard connectors with the right permissions.
  • Design a simple, clear user experience for assistants and apps.
  • Test solutions with ordinary, difficult, and out-of-scope cases before release, and record the results.
  • Apply data protection, access control, and environment rules to every build.
  • Follow citizen development rules and recognize when a solution needs professional developers.
  • Document, hand over, and support a solution after release.
  • Plan the rollout of AI assistants and apps across a team or department.

Who Should Attend

This course is designed for business analysts, process owners, team leaders, operations and administrative staff, and digital champions who want to build AI assistants and AI-enabled apps for their own teams. It is equally relevant for digital transformation and innovation teams, IT business partners who support citizen developers, and knowledge management staff who look after the content assistants rely on. Risk, data protection, and IT governance staff who approve business-built solutions will also benefit. Professionals in government entities, banks and financial institutions, energy and utilities, telecommunications, healthcare administration, education, and shared service centers will find the course directly applicable. Experience with office software is enough; no programming background is required. It is particularly valuable for organizations that already allow no-code and low-code development and want to add AI safely, and for teams with repetitive document, request, or inquiry handling that could benefit from an assistant.

Learning Outcomes

  • By the end of this course, participants will be able to:
  • Explain the AI features of no-code and low-code platforms and their limits.
  • Choose use cases that suit business-built AI assistants and apps, and explain why others do not.
  • Prepare knowledge sources so that an assistant answers from approved content.
  • Write assistant instructions with clear scope, boundaries, and handover to people.
  • Build an AI assistant prototype that serves a real team task.
  • Design an app that extracts, classifies, or summarizes information from documents and records with AI.
  • Combine AI steps and human approvals in a workflow.
  • Connect a solution to business data through standard connectors with appropriate permissions.
  • Test a solution with ordinary, difficult, and out-of-scope cases and act on the findings.
  • Apply data protection, access, and environment separation rules to every solution they build.
  • Decide when a solution should move to professional developers.
  • Document a solution, hand it over for support, and plan its rollout across a team.

Course Outline

Course Outline:

Day 1

AI in No-Code and Low-Code Platforms

  • AI features in no-code and low-code platforms: assistants, AI steps, and document processing
  • What business users can build safely and where professional development is needed
  • Choosing use cases: requests, documents, inquiries, and internal knowledge
  • Platform-neutral building blocks: data, logic, user interface, and connectors
  • Organizational rules for citizen development and approved platforms
  • Practical application: participants select and scope an AI use case from their own work
Day 2

Building AI Assistants

  • Preparing knowledge sources: selecting, cleaning, and keeping content current
  • Writing assistant instructions: scope, tone, boundaries, and handover to people
  • Answering from approved content and showing sources to users
  • Conversation design for common, unclear, and out-of-scope questions
  • Testing an assistant and improving its answers
  • Practical application: participants build a working assistant prototype for a team task
Day 3

AI-Enabled Business Apps and Workflows

  • Using AI to extract data from documents and forms
  • Classifying and routing requests with AI steps
  • Summarizing records and drafting responses for human review
  • Combining AI steps with approvals, notifications, and status tracking
  • Connecting to business data through standard connectors and permissions
  • Practical application: participants design an AI-enabled app with a review and approval workflow
Day 4

Testing, Quality, and Governance

  • Test plans with ordinary, difficult, and out-of-scope cases
  • Checking AI outputs for accuracy, completeness, and bias
  • Data protection, access rights, and handling of personal data
  • Separating development, test, and live environments
  • When a business-built solution should move to professional developers
  • Practical application: participants test their solution and complete a governance checklist
Day 5

Release, Support, and Scaling

  • User experience, guidance, and training for the people who will use the solution
  • Documentation, ownership, and handover for support
  • Monitoring usage, feedback, and answer quality after release
  • Managing changes to knowledge sources, instructions, and workflows
  • Scaling successful solutions across teams and departments
  • Final workshop: participants present a tested assistant or app with its rollout and support plan

Upcoming Dates

CityDatesPrice per ParticipantEarly Bird
ErbilScheduled
8 – 12 Nov 2026€4,000—
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GenevaScheduled
16 – 20 Nov 2026€7,300—
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IstanbulScheduled
23 – 27 Nov 2026€5,300—
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JeddahScheduled
29 Nov – 3 Dec 2026€4,800€4,320until 9 Nov
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KigaliScheduled
30 Nov – 4 Dec 2026€7,700€6,930until 9 Nov
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Kuala LumpurScheduled
7 – 11 Dec 2026€4,700€4,230until 16 Nov
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LisbonScheduled
7 – 11 Dec 2026€6,000€5,400until 16 Nov
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LondonScheduled
14 – 18 Dec 2026€5,800€5,220until 23 Nov
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MadinahScheduled
21 – 25 Dec 2026€4,800€4,320until 30 Nov
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MakkahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
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MadridScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
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ManamaScheduled
4 – 8 Jan 2027€5,300€4,770until 14 Dec
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MuscatScheduled
11 – 15 Jan 2027€6,300€5,670until 21 Dec
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MarbellaScheduled
11 – 15 Jan 2027€6,000€5,400until 21 Dec
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OnlineScheduled
17 – 21 Jan 2027€2,700€2,430until 28 Dec
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RiyadhScheduled
25 – 29 Jan 2027€4,800€4,320until 4 Jan
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ParisScheduled
25 – 29 Jan 2027€6,700€6,030until 4 Jan
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AbujaScheduled
1 – 5 Feb 2027€7,700€6,930until 11 Jan
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AccraScheduled
8 – 12 Feb 2027€7,700€6,930until 18 Jan
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AmmanScheduled
14 – 18 Feb 2027€4,000€3,600until 25 Jan
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AmsterdamScheduled
15 – 19 Feb 2027€6,000€5,400until 25 Jan
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BakuScheduled
22 – 26 Feb 2027€5,300€4,770until 1 Feb
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BarcelonaScheduled
1 – 5 Mar 2027€6,000€5,400until 8 Feb
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BangkokScheduled
1 – 5 Mar 2027€6,700€6,030until 8 Feb
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BeirutScheduled
7 – 11 Mar 2027€4,500€4,050until 15 Feb
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CairoScheduled
14 – 18 Mar 2027€3,800€3,420until 22 Feb
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CasablancaScheduled
15 – 19 Mar 2027€4,700€4,230until 22 Feb
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DammamScheduled
21 – 25 Mar 2027€4,800€4,320until 1 Mar
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DohaScheduled
28 Mar – 1 Apr 2027€4,700€4,230until 8 Mar
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ErbilScheduled
4 – 8 Apr 2027€4,000€3,600until 15 Mar
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Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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