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Building Gen AI App 12+ Hands-on Projects with Gemini Pro

A cutting-edge course for building real-world GenAI applications using Gemini Pro and today’s top AI development frameworks.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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.

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  • 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

  • Overview of Gemini Pro capabilities and architecture.

  • Setting up Python environment and API keys.

Module 2: LangChain & Gemini API Fundamentals

⏳ 45 minutes

  • Using LangChain with Gemini Pro for LLM orchestration.

  • Prompt engineering, chaining, and memory handling.

Module 3: Building Your First Gemini AI App

⏳ 60 minutes

  • Creating a chatbot with Streamlit and Gemini integration.

  • Handling user inputs and generating dynamic responses.

Module 4: Multimodal Applications

⏳ 60 minutes

  • Building AI apps that process both text and images.

  • Implementing image captioning, classification, and search.

Module 5: Data-Driven Applications

⏳ 75 minutes

  • Integrating CSVs, Google Sheets, and API-sourced data.

  • Automating summaries, reports, and visualizations with AI.

Module 6: Code Generation & Productivity Tools

⏳ 60 minutes

  • Creating code assistants and template generators.

  • Auto-generating scripts, functions, and documentation.

Module 7: Deployment & UI Optimization

⏳ 45 minutes

  • Hosting Streamlit apps with responsiveness and error handling.

  • Using GitHub and cloud platforms for deployment.

Module 8: Capstone Projects & Best Practices

⏳ 60 minutes

  • Completing full-stack GenAI applications.

  • 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.
9.7Expert Score
Highly Recommended
A practical and forward-looking GenAI development course using Google's Gemini Pro.
Value
9.3
Price
9.5
Skills
9.7
Information
9.6
PROS
  • Covers both LLM and multimodal app development.
  • Strong focus on practical, project-based learning.
  • Integrates modern tools like LangChain, Streamlit, and Gemini APIs.
CONS
  • Requires intermediate Python knowledge.
  • Limited backend infrastructure coverage beyond Streamlit.

Specification: Building Gen AI App 12+ Hands-on Projects with Gemini Pro

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Building Gen AI App 12+ Hands-on Projects with Gemini Pro
Building Gen AI App 12+ Hands-on Projects with Gemini Pro
Course | Career Focused Learning Platform
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