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In diesem Kurs gibt es 4 Module
"Learn to build real AI prototypes without writing a single line of code using ChatGPT, Microsoft AI Builder, Vertex AI, DataRobot, and Notion AI. This course equips you with practical skills to translate business problems into working AI solutions through no-code platforms and advanced prompt engineering.
In Module 1, you'll learn to frame business challenges as AI problems, map tasks to model types, and create solution blueprints with workflows and KPIs. Module 2 takes you hands-on — building sentiment analysis, forecasting, recommendation, and document intelligence prototypes using leading no-code tools. Module 3 covers advanced prompt design including chain-of-thought reasoning, role prompting, contextual anchoring, and prompt debugging aligned with 2024–2025 LLM best practices. Module 4 focuses on testing, validating, and deploying your prototypes into real business workflows.
By the end of this course, you will:
• Translate business problems into structured AI solutions with blueprints and KPIs
• Build no-code AI prototypes for sentiment analysis, forecasting, and document intelligence
• Design and debug advanced prompts using chain-of-thought, role prompting, and constraint-based techniques
• Test, validate, and deploy AI prototypes into production-ready business workflows"
Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Learners convert real business challenges into solvable AI problem structures using no-code design frameworks, blueprinting, inputs, constraints, and KPIs.
Das ist alles enthalten
6 Videos2 Lektüren3 Aufgaben1 Plug-in
Infos zu Modulinhalt anzeigen
6 Videos•Insgesamt 29 Minuten
How Business Problem Show up in real life•5 Minuten
Which business problems are AI-Friendly•5 Minuten
Choosing one problem to build a software solution•3 Minuten
Designing the reporting Software •5 Minuten
What is Notion•4 Minuten
Map My Business Problem to an AI Task•6 Minuten
2 Lektüren•Insgesamt 60 Minuten
Task-to-Model Mapping•30 Minuten
Inputs, Outputs and Data Requirements•30 Minuten
3 Aufgaben•Insgesamt 105 Minuten
Translating Business Problems into AI Solutions•60 Minuten
Problem Framing and AI Opportunity Mapping•15 Minuten
Business Requirements for AI Prototyping•30 Minuten
1 Plug-in•Insgesamt 5 Minuten
Quick Course Check-In•5 Minuten
Building No-Code AI Prototypes
Modul 2•3 Stunden abzuschließen
Moduldetails
Hands-on building of four core business AI prototypes using 2024-2025 no-code platforms including ChatGPT, Microsoft AI Builder, Vertex AI, DataRobot, and Notion AI.
Das ist alles enthalten
7 Videos2 Lektüren3 Aufgaben
Infos zu Modulinhalt anzeigen
7 Videos•Insgesamt 38 Minuten
Introduction to Notion AI and Building a Reporting Prototype•6 Minuten
Building a Reporting Prototype with Notion AI•3 Minuten
Automating Report Submissions with Notion AI•2 Minuten
Blueprint-to-Prototype Readiness•4 Minuten
Blueprint Templates•7 Minuten
Review and Refine My AI Solution Blueprint•6 Minuten
Transitioning from System Design to Functional Prototype•10 Minuten
2 Lektüren•Insgesamt 60 Minuten
Workflow Diagram Design•30 Minuten
Building a Sentiment Model•30 Minuten
3 Aufgaben•Insgesamt 105 Minuten
Building No-Code AI Prototypes•60 Minuten
Text Intelligence: Sentiment Analysis and Classification•15 Minuten
Predictive Intelligence: Forecasting and Regression Models•30 Minuten
Advanced Prompt Design for Business Scenarios
Modul 3•3 Stunden abzuschließen
Moduldetails
Deep dive into advanced prompting frameworks, chain-of-thought, role prompting, contextual anchoring, error correction, and prompt debugging aligned with 2024-2025 LLM best practices from OpenAI, Anthropic, and Gemini.
Das ist alles enthalten
6 Videos2 Lektüren3 Aufgaben
Infos zu Modulinhalt anzeigen
6 Videos•Insgesamt 36 Minuten
Notion database•4 Minuten
Entries which scale department•9 Minuten
Basic prompt structure•6 Minuten
Advance prompting•5 Minuten
Prompt overview•7 Minuten
Measurable insights•5 Minuten
2 Lektüren•Insgesamt 60 Minuten
Forecasting Templates and KPIs Guide•30 Minuten
Real Workflows: Invoice Extraction, Report Summaries•30 Minuten
3 Aufgaben•Insgesamt 90 Minuten
Advanced Prompt Design for Business Scenarios•60 Minuten
Structuring Prompts for High-Accuracy Outputs•15 Minuten
Advanced Prompt Engineering Techniques•15 Minuten
Testing, Validating and Deploying AI Prototypes
Modul 4•3 Stunden abzuschließen
Moduldetails
Learners validate outputs, test performance, document results, and deploy prototypes, building readiness for Course 3 on Automation and Scaling.
Das ist alles enthalten
7 Videos2 Lektüren3 Aufgaben
Infos zu Modulinhalt anzeigen
7 Videos•Insgesamt 27 Minuten
Measurable analytics•4 Minuten
Measurable analytics part 2•5 Minuten
Measurable analytics part 3•2 Minuten
Why Testing Matters for Business•4 Minuten
Pratical Testing Walkthrough•5 Minuten
Final Improvements & Cleanup•4 Minuten
presenting the software to Managers•4 Minuten
2 Lektüren•Insgesamt 60 Minuten
Troubleshoot My Prototype•30 Minuten
Multi-Step Prompt Design•30 Minuten
3 Aufgaben•Insgesamt 90 Minuten
Testing, Validating and Deploying AI Prototypes•60 Minuten
Testing AI Prototypes•15 Minuten
Validating Model Performance•15 Minuten
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No. All prototypes are built using no-code platforms like Microsoft AI Builder, DataRobot, and Vertex AI. No programming knowledge is required.
What kind of prototypes will I build?
You'll build four types — sentiment analysis and text classification, sales/demand forecasting, recommendation engines, and document intelligence models.
Are there hands-on projects?
Absolutely. Each module includes prototype builds, AI dialogues, and scenario-based assessments that mirror real business challenges.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.