Introduction:-
Welcome! Excited to dive into Generative AI? Google’s 5-Day Gen AI Intensive Course, previously held live from November 11-15, 2024, is now available as a self-paced guide for learners everywhere. This course is a fantastic opportunity for those keen to explore Generative AI technologies and techniques. Registration for the 2025 course is open now, so lets discuss about 5 days gen ai intensive course with google.
In this post, I’ll walk you through the entire 5-day Generative Ai Courses, covering the topics you’ll learn, daily assignments, setup instructions, and the expert speakers. The course is taught by industry leaders such as Anant Nawalgaria, Mark McDonald, Paige Bailey, and more. Ready to jump in? Let’s get started!
Details Of 5 days gen ai intensive course with google:-
Course Setup Guide:-
Before you begin, make sure to set everything up:
1. Kaggle Account: Sign up for Kaggle and get familiar with how Notebooks work. Phone verification is a must for participating in code labs.
2. AI Studio Account: Set up an AI Studio account and ensure you can generate an API key.
3. Discord Access: Join Discord and enter the Kaggle server. The #5dgai-general-chat channel is where course updates and livestream recordings are shared.
— To post in other channels, link your Kaggle account to Discord via this page: [Kaggle Discord Confirmation](https://kaggle.com/discord/confirmation).
Hear the Direct link For 5 days gen ai intensive course with google
With everything ready, you’re good to go! Now, let’s dive into the course.
Day 1: Introduction to Large Language Models & Prompt Engineering
Day 1 Overview:-
On Day 1, you’ll be introduced to Large Language Models (LLMs)—exploring their evolution from transformers to advanced techniques like fine-tuning and inference acceleration. You’ll also delve into prompt engineering, a skill essential for effectively interacting with LLMs.
Assignments for Day 1:-
1. Unit 1: “Foundational Large Language Models”
– [Optional] Listen to the summary podcast from NotebookLM.
2. Unit 2: “Prompt Engineering”
– [Optional] Check out the summary podcast for this unit.
– Study the “Prompt Engineering” whitepaper.
– Complete the Kaggle code lab to get hands-on practice with basic prompting techniques (remember to verify your phone number!).
– [Optional] Read a case study on a leading bank automating its financial advisory services through advanced prompt engineering, resulting in a significant increase in productivity.
3. Livestream: Join Paige Bailey and Google experts—Mohammadamin Barekatain, Lee Boonstra, Logan Kilpatrick, Daniel Mankowitz, Majd Merey Al, Anant Nawalgaria, Aliaksei Severyn, and Chuck Sugnet—for a detailed discussion on the topics of the day.
Personal Takeaway:-
Day 1 was incredibly insightful! I learned about the history of LLMs and their practical applications. Prompt engineering opened my eyes to how specific wording in a prompt can change the response from the model. The code lab helped me understand the nuances of prompting.
Day 2: Embeddings & Vector Databases
Day 2 Overview
Day 2 covers embeddings and vector databases—key components for working with live data in LLM applications. You’ll explore how embeddings can improve text classification and similarity comparison.
Assignments for Day 2:
1. Unit 3: “Embeddings & Vector Databases”
– [Optional] Tune in to the podcast summary.
– for more details “Embeddings & Vector Stores/Databases.” On whitepaper.
– Complete the following Kaggle code labs:
1. Build a question-answering system using RAG with custom documents.
2. Explore text similarity using embeddings.
3. Construct a neural classification network using Keras and embeddings.
2. Livestream: Join Paige Bailey and experts—Omid Fatemieh, Jinhyuk Lee, Alan Li, Iftekhar Naim, Anant Nawalgaria, Yan Qiao, and Xiaoqi Ren—for an in-depth conversation about embeddings and vector stores.
Personal Takeaway:
Embeddings and vector databases were fascinating! I enjoyed working through the code labs and learning how to use embeddings to classify and compare text. Building the RAG system gave me a great understanding of how custom data can be integrated into LLM models.
Day 3: Generative AI Agents
Day 3 Overview
On Day 3, you’ll dive into building AI agents, understanding their components and how to develop them iteratively. The code labs show you how to connect LLMs to real-world applications.
Assignments for Day 3:-
1. Unit 4: “Generative AI Agents”
– [Optional] Listen to the unit podcast.
– for more details “Generative AI Agents.” On whitepaper.
– [Optional] Study a case where a company used generative AI agents to automate ticket creation, leading to a 2.5x productivity boost.
– Complete the following Kaggle labs:
1. Learn to interact with a database through function calls.
2. Build an agentic ordering system for a café using Lang Graph.
2. **Livestream**: Join Paige Bailey and experts—Steven Johnson, Julia Wiesinger, Alan Blount, Patrick Marlow, Wes Dyer, and Anant Nawalgaria—for insights into the world of AI agents.
Personal Takeaway:-
Building generative agents was one of my favorite parts! The café ordering system was a fantastic practical example of how agents work in the real world. Function calling for database interaction was another highlight.
Day 4: Specialized LLMs for Specific Domains
Day 4 Overview
Day 4 takes you through domain-specific LLMs like Sec LM and Med-Pa LM, showing how they’re built and used in various industries.
Assignments for Day 4:-
1.Unit 5: “Domain-Specific LLMs”
– [Optional] Listen to the unit’s podcast summary.
– for more details “Solving Domain-Specific Problems Using LLMs.” On whitepaper.
– Complete the following Kaggle labs:
1. Use Google Search data for generation.
2. Tune a Gemini model for custom tasks.
2. Livestream: Join Paige Bailey and experts—Scott Coull, Antonio Gulli, Anant Nawalgaria, Christopher Semturs, and Umesh Shankar—to discuss domain-specific models.
Personal Takeaway:-
Learning about specialized LLMs like SecLM and Med-PaLM was very inspiring. It’s amazing to see how LLMs can be adapted for different industries, and tuning a Gemini model for a specific task was a practical and valuable skill.
Day 5: MLOps for Generative AI
Day 5 Overview:-
On the final day, you’ll focus on MLOps practices and how to implement them in generative AI workflows, using tools like Vertex AI for building foundation models and applications.
Assignments for Day 5:-
1.Unit 6: “MLOps for Generative AI”**
– [Optional] Tune into the podcast for this unit.
– for more details “MLOps for Generative AI.” On whitepaper.
– No code lab today! Instead, attend a live demo and walkthrough of the [goo.gle/e2e-gen-ai-app-starter-pack](https://goo.gle/e2e-gen-ai-app-starter-pack), a helpful resource for MLOps.
2. Livestream: Join Paige Bailey and experts—Advait Bopardikar, Sokratis Kartakis, Gabriela Hernandez Larios, Veer Muchandi, Anant Nawalgaria, Elia Secchi, and Olivia Wiles—for a discussion on MLOps practices in generative AI.
Personal Takeaway: –
MLOps was a fantastic wrap-up to the course. Learning how to deploy generative AI applications to production with tools like Vertex AI was very eye-opening. The demo made it clear how MLOps accelerates the path to production.
Bonus Material:-
In addition to the main course, there’s a bonus notebook to explore advanced Gemini API techniques. This content is separate from the whitepapers and podcasts but adds more depth for building Gemini-powered applications.
Interested in live courses in the future? Fill out this [outreach form](https://example.com/outreach-form) to stay updated.
Conclusion:-
The 5 days gen ai intensive course with google. offered a comprehensive introduction to the world of Generative AI. From learning the foundations of LLMs and prompt engineering on Day 1 to understanding MLOps practices on Day 5, I gained valuable insights and practical skills that I can apply in real-world projects. its a 5 days gen ai course.
If you’re considering the course, I highly recommend it. It’s perfect for anyone wanting to dive into Generative AI, whether for career advancement or personal interest. Ready to get started? Hence we concluded the matter related to 5 days gen ai intensive course with google. Don’t forget to share this blog if you found it helpful! 🚀
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