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
Welcome to the Complete Gemini Course: Build GenAI Apps with Streamlit
Are you looking to harness the power of Generative AI with Google’s Gemini model?
Do you want to build AI-powered applications quickly and efficiently?
Are you interested in using Streamlit to create interactive, real-world GenAI applications?
Do you want a structured course that takes you from the basics to advanced implementations of Gemini AI?
If you answered yes, then this course is for you!
Unlock 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.
What Makes This Course Stand Out?
Comprehensive & Hands-On Learning: Start with foundational AI concepts and progress to building production-ready GenAI applications.
Practical Implementation with Streamlit: Learn how to create AI-powered web apps effortlessly.
Google’s Gemini AI Model in Action: Gain hands-on experience using the Gemini API for text generation, image recognition, and more.
End-to-End Project-Based Approach: Work on real-world projects that showcase Gemini AI's capabilities.
Beginner to Advanced Progression: Whether you're new to AI or an experienced developer, this course covers everything you need to succeed.
Important Announcement: This course will continue to be updated with the latest advancements in AI, including new features from Google’s Gemini model and best practices for AI-driven app development.
Why This Course Is Essential:
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.
KEY BENEFITS OF MASTERING GENERATIVE AI & STREAMLIT
Generative AI is revolutionizing the tech industry, enabling developers to build intelligent applications with minimal effort. By mastering Gemini AI and Streamlit, you will:
Enhance Your AI Development Skills: Build AI-powered applications from scratch.
Increase Your Career Prospects: AI expertise is in high demand across industries.
Create Cutting-Edge AI Applications: Learn practical implementation beyond theory.
Stay Ahead in the AI Revolution: Work with the latest advancements in Generative AI.
KEY TAKEAWAY:
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. You’ll walk away with the skills to develop AI-powered applications with Streamlit and confidently apply your knowledge in real-world scenarios.
So, let’s get started on your journey to mastering Generative A.I. 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.
