Gemini AI Course for Beginners
Gemini AI Course for Beginners, available at Free, has an average rating of 4.68, with 15 lectures, based on 41 reviews, and has 1627 subscribers.
You will learn about 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 simple AI project using Python and Gemini Create an AI agent for generating blog posts Integrate Gemini AI with other applications seamlessly Apply AI principles to real-world scenarios and projects This course is ideal for individuals who are Anyone who wants to learn Google's Gemini AI Model or Beginner Python Developers curious about Gemini AI model or AI Beginners who want to gain hands-on experience with AI tools and techniques or Content Creators and Bloggers aiming to leverage AI for generating high-quality blog posts and content It is particularly useful for Anyone who wants to learn Google's Gemini AI Model or Beginner Python Developers curious about Gemini AI model or AI Beginners who want to gain hands-on experience with AI tools and techniques or Content Creators and Bloggers aiming to leverage AI for generating high-quality blog posts and content.
Enroll now: Gemini AI Course for Beginners
Summary
Title: Gemini AI Course for Beginners
Price: Free
Average Rating: 4.68
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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 simple AI project using Python and Gemini
- Create an AI agent for generating blog posts
- Integrate Gemini AI with other applications seamlessly
- Apply AI principles to real-world scenarios and projects
Who Should Attend
- 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
Target Audiences
- 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
Google’s Gemini AI Course for Beginners with Python
Unlock the potential of Google’s Gemini AI model in just one hour 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 and Python.
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. In just one hour, you’ll gain a solid understanding of these concepts and learn how to leverage Gemini to its fullest potential.
Course Highlights:
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The Basics of Google AI Studio:
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Get acquainted with the intuitive interface of Google AI Studio.
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Learn how to navigate and utilize its powerful features to streamline your AI projects.
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Advanced Concepts of Google AI Features:
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Dive deeper into the sophisticated capabilities of Google AI.
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Explore the advanced tools and functionalities that set Gemini apart from other AI models.
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Google AI Studio API Key Setup:
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Understand the importance of API keys and how to set them up.
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Ensure seamless integration and access to Google AI Studio’s extensive resources.
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Small Project – Blog Post AI Agent:
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Apply your newfound knowledge in a hands-on project.
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Create an AI agent capable of generating engaging blog posts, showcasing the practical applications of Gemini.
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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. Join us and embark on a journey to master Google’s Gemini AI model with Python.
Enroll Now for Free 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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Lecture 2: Course Resources & Highlights
Lecture 3: Join our Online Community (Discord)
Chapter 2: Gemini AI for Beginners
Lecture 1: 1. Exploring Google AI Studio – Basics
Lecture 2: 2. Google AI Advanced Features 1
Lecture 3: 3. Google AI Advanced Features 2
Lecture 4: 4. API Key
Lecture 5: 5. Gemini Integration with Google Colab
Chapter 3: Appendix: Python Basics
Lecture 1: Quick Note: Upcoming Python Lectures
Lecture 2: Configure Our Dev Environment and Create our first Program
Lecture 3: Basics of Variables
Lecture 4: Basic Datatypes in Python
Lecture 5: Basic Arithmetic in Python
Lecture 6: Indexing and Slicing Strings
Chapter 4: Bonus
Lecture 1: Bonus Lecture
Instructors
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Job Ready Programmer
Senior Software Engineers and Trainers
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 12 votes
- 5 stars: 26 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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