Building Gen AI App 12+ Hands-on Projects with Gemini Pro (Udemy.com)
Mastering AI Innovation: Building and Fine-tuning Generative AI Applications with Google Gemini Models And Langchain
Created by: Krish Naik
Last updated June 2024
What you will learn
- Develop practical skills in building and deploying generative AI applications using Google Gemini models.
- Gain hands-on experience in training and fine-tuning Google Gemini models using various datasets.
- Create diverse applications leveraging the power of these Gemini models.
- End To End Projects Using Google Gemini Models
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.5 out of 5higher than 45% of them
- Reviews1,916#256 of 1,183 by number of reviews
- Length15.8 hourslonger than 84% of them
- Last updatedJune 2024earlier than 64% of them
Course Description
Unlock the power of generative AI with our comprehensive course on building applications using Google Gemini Models! Whether you're a beginner or an experienced AI enthusiast, this course is designed to take you through the fundamentals and advanced techniques of using Google Gemini, Gemini Pro, Gemini Flash, and Gemini Pro 1.5 models.
What You Will Learn:
Introduction to Google Gemini Models:
Dive deep into the architecture, features, and capabilities of Google Gemini models.
Understand the unique strengths of Gemini Pro, Gemini Flash, and Gemini Pro 1.5.
Model Training and Fine-Tuning:
Gain hands-on experience with training and fine-tuning these powerful models.
Learn techniques to optimize performance for various generative AI tasks.
Application Development:
Develop practical skills to build diverse generative AI applications such as text generation, image synthesis, and language translation.
Explore real-world examples and projects to solidify your understanding.
Integration and Deployment:
Learn how to seamlessly integrate Google Gemini models into your existing systems.
Master the deployment of AI applications in cloud-based and on-premise environments.
Ethics and Best Practices:
Understand the ethical considerations and best practices in generative AI development.
Implement responsible AI principles to ensure fairness, transparency, and accountability.
Who Should Enroll:
AI Enthusiasts: Looking to explore the exciting world of generative AI.
Developers: Seeking to build and deploy cutting-edge AI applications.
Data Scientists: Aiming to enhance their skills with advanced generative models.
Tech Professionals: Wanting to integrate AI into their business solutions.
Course Highlights:
Expert-led video tutorials with step-by-step instructions.
Hands-on projects and real-world examples.
Access to exclusive resources and datasets.
Community support and peer collaboration.
Quizzes and assignments to test your knowledge.
Join us on this journey to master generative AI with Google Gemini Models and unlock endless possibilities in the world of artificial intelligence! Enroll now and start building the future of AI today.
Instructor Details
- 4.5 Rating
1,916 Reviews
Krish Naik
I am the Ex Co-founder and Chief AI Engineer of iNeuron and my experience is pioneering in machine learning, deep learning, and computer vision,Generative AI,an educator, and a mentor, with over 15 years' experience in the industry. These are my Udemy Courses where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30+ tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.
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Reviews
By Suchintika Sarkar on 9/24/2026
The course does not provide the required resources and code files, making it difficult to follow along as we have to type the code from scratch. Additionally, many libraries, codes, and models used in the videos become outdated or change over time, causing compatibility issues. Providing updated code files and resources would make the course much easier to follow
By Sujitha B on 9/7/2026
Yeah. This course is useful for the beginner student who are trying to know about Gen Ai and LLM models like gemini, GPT . It also helps me in understanding of API usage in projects. I got the better understanding of writing coding in simple projects using streamlit. I really liked the way how he teachs us. Its interesting and easily understandable. Thank you.
By Prasanth Kunchanapalli on 8/14/2026
The course is good and make the hands on projects with the various models of Gemini and the agents building section is very good and nicely explained with the help of crewai , overall a good course who is looking to have knowledge over the python and oops concepts and genai with 12+ hands on projects and building an ai agents , in last it's a overall good course
By Mohammed Abul hassan Khan on 7/21/2026
Good explanation and content, expected the 12 projects to be from basic to Advance/intermediate, but as I had already done the prequel course which gave me knowledge about LangChain and LangGraph, so the projects did not seem not up to the mark, but overall the course is good.
By Anonymized User on 4/26/2025
The 1Kirsh Nayk 10 Project Tutorial on Google AI was outstanding! It was super easy to understand, breaking down complex Google AI concepts effectively. The most impressive aspect was the incredibly detailed, line-by-line code explanation. This meticulous approach ensured deep learning and left no room for confusion. The project was engaging and provided practical application. Highly recommended for anyone wanting a clear and comprehensive introduction to Google AI. 1Kirsh Nayk's teaching style is fantastic, making this tutorial a truly valuable resource.
By Babu C T on 11/24/2024
Thank you Krish. The flow of teaching is simple and easily understandable with working sessions and examples. Writing the code, execution and output can be understood with your methodology. Really appreciate it!
By Devesh Sharma on 9/11/2024
You are going to regret if you ditch this course. As this is one of the best courses that includes a great teacher like Krish Naik, who basically hold our hands in each session and helps us to complete the project in a smooth way. Hats off Sir!!
By Anonymized User on 9/10/2024
Thanks, Krish.. for such a fantastic course from basic to advanced. This course surely add value in existing knowledge and allow us to apply open-source Gemini Models to solve real-word problems.
By Adrian Sanchez on 6/18/2024
he doesn't teach about git and upload it into git, and about the repositories etc neither he do the ehole course on colab which is harder for me, he also should put a limit budget for when trying this kinds of google APIS now i dont know im confused because he do all in vs and i always do in colab so i dont know great content but there some issues like these ones i would like to ask also i use ubuntu linux
By Isaac Cao on 5/25/2024
I have never learned Python before, but I feel fulfilled in this course. Kris describes all the content clearly and responds to the messages that I leave as soon as possible. His teaching style suits me well, and I have already purchased a new course titled ‘Complete Machine Learning, NLP Bootcamp MLOPS & Deployment’. If you are a beginner or have no experience in Python, don’t worry, you will understand at least 70-80% of the lesson content.
Quality Score
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Overall Score : 90 / 100












