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+--- Thread: Complete Gemini Course: Build GenAI Apps with Streamlit (/Thread-Complete-Gemini-Course-Build-GenAI-Apps-with-Streamlit--537163)
Complete Gemini Course: Build GenAI Apps with Streamlit - BaDshaH - 09-07-2024
![[Image: 203dcfee8992ec0e434e75e52f94761b.jpg]](https://i124.fastpic.org/big/2024/0907/1b/203dcfee8992ec0e434e75e52f94761b.jpg)
Published 9/2024
Created by Job Ready Programmer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 3h 35m ) | Size: 2.51 GB
Build Interactive GenAI Apps with Gemini, Python, Streamlit and Google AI Studio
What you'll learn:
Understand the fundamentals of Google's Gemini AI model
Navigate and utilize the Google AI Studio interface efficiently
Grasp advanced concepts and features of Google AI Studio
Set up and manage Google AI Studio API keys
Develop a GenAI project using Gemini, Python and Streamlit
Create an AI agent for generating blog posts
Integrate Gemini AI with other applications seamlessly
Apply AI principles to real-world scenarios and projects
Requirements:
No programming experience needed. You will learn everything you need to know
All you need is a computer with internet access and a passion for learning AI
Basic familiarity with Python is helpful but not required (Python Basics is covered in the Appendix section)
Description:
Complete Gemini Course: Build GenAI Apps with StreamlitUnlock the potential of Google's Gemini AI model with our comprehensive beginner-friendly course! Designed for enthusiasts at all levels, this course will guide you through the fascinating world of Gemini, Generative AI, and Large Language Models (LLMs) using Google AI Studio, Python and Streamlit.What You'll Learn:Introduction: Begin with an overview of the course and discover the potential of data science through interactive applications.Understanding LLMs and Gemini: Dive deep into LLMs, explore the evolution of Gemini, and learn how to utilize its features within the Google ecosystem.Google AI Studio and Python Integration: Master both basic and advanced features of Google AI Studio, secure your Gemini API key, and build a Python-powered blog post generator.Setting Up Your Development Environment: Get hands-on with setting up essential libraries in PyCharm and Jupyter Notebook on both Mac and Windows platforms.Introduction to Streamlit: Learn how to use the Streamlit framework to create dynamic data applications with widgets and visualizations.Hands-On Project: Rebuild the blog post generator app using Streamlit, adding image input functionality to showcase Gemini's multimodal capabilities.Conclusion: Explore additional project ideas to further apply your newly acquired skills and reinforce your learning.Extra: Python Basics Includes a helpful appendix on setting up your Python environment, understanding variables, data types, basic arithmetic, and string manipulation.Have you ever wondered what terms like Gemini, Generative AI, and LLMs mean? Are you curious about how these cutting-edge technologies can be harnessed for real-world applications? If so, this course is perfect for you. You'll gain a solid understanding of these concepts and learn how to leverage Gemini to its fullest potential.Whether you're a seasoned professional looking to expand your AI toolkit or a beginner eager to explore the world of artificial intelligence, this course offers valuable insights and practical skills. By the end of this course, you'll have a solid grasp of Google's Gemini AI model and how to use it effectively in your GenAI apps. Join us and embark on a journey to master Google's Gemini AI model with Python and Streamlit.Enroll Now and start your AI journey today!About the Instructor:Gurkeerat Singh is a Senior Software Engineer with over 5 years of comprehensive experience in full-stack development. He excels in a diverse array of technologies, including JavaScript, Node.js, Angular, React, React Native, MEAN, MERN, Java, Spring Boot, Kotlin, Native Android App Development, and Git.Gurkeerat's passion for innovation and problem-solving has led him to participate in numerous developer hackathons, where he has consistently performed at a high level. Notably, he secured 1st place in the prestigious Bengaluru Open Mobility Challenge '23, demonstrating his ability to apply his skills to real-world challenges.In addition to his professional achievements, Gurkeerat is dedicated to sharing his knowledge and expertise with others. At Job Ready Programmer, he plays a pivotal role in teaching and mentoring students in the latest technologies, including Gemini AI. His commitment to education ensures that his students are well-prepared to stay ahead of the curve in the rapidly evolving tech industry.
Who this course is for:
Anyone who wants to learn Google's Gemini AI Model
Beginner Python Developers curious about Gemini AI model
AI Beginners who want to gain hands-on experience with AI tools and techniques
Content Creators and Bloggers aiming to leverage AI for generating high-quality blog posts and content
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