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Build Ai Apps Fast-Openai, Streamlit For Product Innovators
Published 7/2025
Created by Srirama Athreya Mukunda
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 23 Lectures ( 2h 55m ) | Size: 2.81 GB
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
