Build AI Apps Fast-OpenAI, Streamlit for Product Innovators

From Prompt to Product: Create Functional AI Tools with Open AI Agents & Streamlit Without Being a Developer

What you'll learn
- Understand AI Foundations: Learn how tokens work and choose the right OpenAI model to bring your ideas to life.
- Use the OpenAI Platform & Playground: Build and test AI agents easily—no coding needed, just prompts and smart configs.
- Create Real AI-Powered Apps just Using Prompts: Build MVPs like a user story generator using AI agents and Streamlit—step by step.
- Integrate AI agents with Real Data: Connect your agents to tools like JIRA to make your apps useful and business-ready.
- Think Like an AI to Debug: Fix issues faster by learning how AI agents think and respond to your prompts.
- Using Vector Stores & LangChain: Give memory to your agents—store, retrieve, and use context in smarter ways.
- Build MVPs, Not Just Prompts: Go from raw idea to fully working product—all with AI, agents, and fast prototyping.
- Adopt a Product Builder Mindset: Design useful tools with AI—not just experiments, but real-world applications.
- Create Reusable Prompt Templates: Design prompt patterns that work across use cases to build any AI app quickly
- Write System Instructions That Guide: Craft system instructions that shape how your OpenAI assistant thinks and responds.
- Integrate with External Data Sources: Learn how to connect AI agents with tools like JIRA to fetch, process, and act on real-world data.

Requirements
- A laptop or desktop with an internet connection
- The mindset of a builder -> even if you've never built before
- AND NO. You don’t need advanced programming skills
- Chat GPT or Github Copilot subscription

Description
Bring your ideas to life with AI—fast.This hands-on course is designed for product thinkers, innovators, and non-coders who want to go beyond just experimenting with AI and actually build something real. Using OpenAI, Streamlit, and “vibe coding” techniques, you’ll learn how to rapidly prototype intelligent apps—without writing traditional code.

You’ll start by mastering prompt engineering and understanding how different OpenAI models work. Then, you’ll design responsive AI assistants in the OpenAI Playground, integrate tools like JIRA, and build complete MVPs using Streamlit—all by iterating step-by-step with AI tools.

Whether you’re a product manager looking to build proof-of-concepts or a creative entrepreneur prototyping your next big idea, this course will give you the mindset, tools, and techniques to build fast with AI.

Learn how to build AI agents using prompt engineering and system instructions—no coding required.

Master the OpenAI Playground, ChatGPT, and Streamlit to prototype and test real-world AI apps.

Build full working MVPs, like a user story generator or JIRA-integrated assistant, using AI and visual tools.

Connect your assistant to real-world data sources (e.g. JIRA) to create useful, production-ready workflows.

Develop the “AI builder’s mindset” to think in prompts, iterate quickly, and go from concept to creation in hours.

Who this course is for:
- Beginner Python developers curious about building AI app
- Product managers looking to prototype with OpenAI without coding deep
- Startup founders who want to build AI-powered MVPs quickly
- Business analysts interested in automating workflows with LLMs
- Innovation leads exploring practical AI integration in enterprise tools
- Scrum masters seeking to enhance agile tools using assistants
- No-code builders wanting to bridge prompts with real applications
- UX designers curious about integrating conversational AI in UI flows
- Technical product owners aiming to connect OpenAI with project data
- Digital consultants looking to add AI capabilities to client solutions
- Early-career data analysts experimenting with prompt-based automation
- Agile coaches or facilitators exploring AI co-pilots for team rituals
- Corporate trainers creating AI-enabled internal tools for training
- Learning designers building prompt-based knowledge assistants
- Knowledge workers who want to automate repetitive documentation tasks
- Technical support professionals wanting to build internal AI bots
- JIRA admins looking to enhance reporting and ticket workflows with AI
- Operations managers exploring LLM-powered process improvements
- Non-developers who want to build working AI tools with little code
- AI enthusiasts who want to go beyond ChatGPT and build usable apps
- Lead product managers trying to ideate and validate AI use cases rapidly
- Senior product leaders exploring how to turn AI concepts into working prototypes
- Lead PMs experimenting with OpenAI to identify product opportunities
- Product strategists evaluating LLM-powered workflows and automation ideas
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