What will you in Building Gen AI App 12+ Hands-on Projects with Gemini Pro Course
- Build end-to-end Generative AI applications using Google’s Gemini Pro.
- Integrate Gemini Pro with tools like Streamlit, LangChain, and Gemini APIs.
- Design intelligent chatbots, data processors, and multimodal apps.
- Work on real-world GenAI projects involving image, text, and code generation.
- Deploy AI apps with scalable architecture and intuitive user interfaces.
Program Overview
Module 1: Introduction to Gemini Pro & Project Setup
30 minutes
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Overview of Gemini Pro capabilities and architecture.
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Setting up Python environment and API keys.
Module 2: LangChain & Gemini API Fundamentals
45 minutes
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Using LangChain with Gemini Pro for LLM orchestration.
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Prompt engineering, chaining, and memory handling.
Module 3: Building Your First Gemini AI App
60 minutes
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Creating a chatbot with Streamlit and Gemini integration.
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Handling user inputs and generating dynamic responses.
Module 4: Multimodal Applications
60 minutes
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Building AI apps that process both text and images.
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Implementing image captioning, classification, and search.
Module 5: Data-Driven Applications
75 minutes
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Integrating CSVs, Google Sheets, and API-sourced data.
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Automating summaries, reports, and visualizations with AI.
Module 6: Code Generation & Productivity Tools
60 minutes
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Creating code assistants and template generators.
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Auto-generating scripts, functions, and documentation.
Module 7: Deployment & UI Optimization
45 minutes
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Hosting Streamlit apps with responsiveness and error handling.
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Using GitHub and cloud platforms for deployment.
Module 8: Capstone Projects & Best Practices
60 minutes
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Completing full-stack GenAI applications.
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Performance tuning, UX, and project scalability tips.
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Job Outlook
- High Demand: GenAI app developers are increasingly needed in product, automation, and AI tool markets.
- Career Advancement: Ideal for software engineers, ML developers, and startup builders.
- Salary Potential: $100K–$160K+ depending on specialization and deployment skills.
- Freelance Opportunities: Building AI tools for content generation, customer support, and data analysis.
Explore More Learning Paths
Take your generative AI app development skills to the next level with these carefully selected programs designed to help you build, deploy, and scale AI applications using cutting-edge tools and frameworks.
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Related Reading
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What Is Python Used For? – Explore Python’s essential role in AI development, app creation, and working with large language models and generative AI tools.
Last verified: March 12, 2026