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Generative AI in a Weekend: Build with Google Gemini
28,542 students
Generative AI in a Weekend: Build with Google Gemini
Generative AI made easy. Learn Google Gemini, Gemini API, Prompt Engineering, RAG, and AI Agents with Hands-On Examples
Created byin28Minutes Official, Ranga Karanam | GCP Certification - Google Cloud Engineer & Architect
Last updated 10/2026
English
Arabic [Auto],German [Auto],
What you'll learn
- Understand Generative AI fundamentals, including AI, Machine Learning, LLMs, and how Generative AI works
- Use Google Gemini effectively for learning, productivity, problem-solving, and real-world tasks
- Build Generative AI applications with the Gemini API using hands-on Python examples
- Write effective prompts using practical prompt engineering techniques to improve AI responses
- Apply Generative AI concepts through hands-on examples and projects, even if you are new to AI and Machine Learning
Explore related topics
Course content
32 sections • 164 lectures • 10h 16m total length
Requirements
- No prior Generative AI, AI, or Machine Learning experience is required
- Absolute beginners are welcome!
- Basic programming knowledge is helpful for the hands-on coding sections, but not required to get started
- You will need a Google account to use Google AI tools and Google Colab
Description
Do you think learning Generative AI is DIFFICULT?
What if I can prove you WRONG?
Take your FIRST STEPS into the exciting world of Generative AI with a HANDS-ON, step-by-step approach.
Learn Generative AI in a WEEKEND!
BEGINNERS are WELCOME! No prior AI or Machine Learning experience is required.
5 Things YOU Need to Know About This Generative AI Course
#1: HANDS-ON - The best way to learn Generative AI is to get your hands dirty!
#2: Designed for ABSOLUTE BEGINNERS - No prior AI or Machine Learning experience required.
#3: LEARN WITH AN EXPERIENCED INSTRUCTOR - Join more than 2 MILLION learners who are learning with in28minutes.
#4: FREE Downloadable PDF - A handy reference to reinforce your learning.
#5: FREE Downloadable Python Notebook Examples - Learn by experimenting with Google Gemini and the Gemini API.
Why Learn Generative AI?
Generative AI is transforming how we learn, create, code, analyze information, and build applications.
You might think that understanding Generative AI requires deep knowledge of Artificial Intelligence and Machine Learning.
It doesn't!
I'm Ranga Karanam, founder of in28minutes. I've helped more than 2 MILLION learners around the world learn new technology skills.
My philosophy is simple: the best way to learn technology is by doing.
That's exactly how we've designed this course.
We start with the fundamentals and explore:
Artificial Intelligence, Machine Learning, and Generative AI
Large Language Models (LLMs)
Google Gemini
Prompt Engineering
Gemini API
Multimodal Generative AI
Building applications powered by Google Gemini
And much more!
You'll learn concepts step by step and reinforce them with hands-on examples.
By the end of the course, you will understand not only how to use Generative AI to become more productive, but also how developers can integrate Generative AI into applications using the Gemini API.
Some programming knowledge is helpful for the coding sections, but no prior Generative AI, AI, or Machine Learning experience is required.
Are you ready to take your FIRST STEPS into Generative AI?
Join more than 2 MILLION learners who have learned with in28minutes.
Let's get started!
Who this course is for:
- Beginners who want to take their first steps into Generative AI
- Developers and technology professionals who want to understand and build applications with Google Gemini and the Gemini API
- Students and professionals who want to use Generative AI to improve productivity and solve real-world problems
- Anyone curious about AI, Machine Learning, LLMs, and Generative AI who wants a simple, hands-on introduction