By Abhishek Kumar | #AIWithAbhishek | #GenAIJourney | #FutureReadyAI

Generative AI has quickly evolved from a niche concept to one of the most influential technologies across industries. Whether you’re building chatbots, designing smart search engines, or generating creative content, understanding the building blocks of Generative AI is now essential for every tech enthusiast.

In this blog, I’ll break down a structured 9-course learning path (from Google Cloud) that transforms a curious mind into a well-informed GenAI developer – all in bite-sized, 1-day introductory to intermediate-level courses.

🧠 1. Introduction to Generative AI

Before diving deep, it’s important to know what Generative AI is, how it differs from traditional AI, and why it’s taking over industries. This foundational course helps you understand the key tools used by developers to build GenAI-powered apps using Google Cloud.

📌 Perfect For: Beginners with no prior AI experience
📅 Time: 1 Day | 🧩 Level: Introductory

💬 2. Introduction to Large Language Models (LLMs)

Now that you know what GenAI is, let’s explore LLMs – the magic behind ChatGPT, Bard, and Copilot. This course covers how these models work, prompt tuning, and real-world use cases.

📌 Perfect For: Anyone curious about how Chatbots & writing AIs work
📅 Time: 1 Day | 🧩 Level: Introductory

🤖 3. Introduction to Responsible AI

With great power comes great responsibility! This course explains how to build AI responsibly by addressing fairness, bias, and explainability. It aligns with Google’s AI principles and helps ensure your AI solution is ethical and inclusive.

📌 Perfect For: Ethical AI practitioners, tech leads, and developers
📅 Time: 1 Day | 🧩 Level: Introductory

🧩 4. Generative AI Fundamentals (Skill Badge Course)

This special course combines the previous three into a capstone-style badge. Complete this to validate your knowledge in foundational Generative AI topics and earn a Google Cloud skill badge.

📌 Perfect For: Learners who love certifications
📅 Time: 1 Day | 🧩 Level: Introductory

🎨 5. Introduction to Image Generation

Words aren’t the only thing GenAI can create! This course introduces diffusion models that can generate art, photos, and designs. You’ll understand the science behind popular tools like DALL·E and Midjourney.

📌 Perfect For: Artists, designers, and ML enthusiasts
📅 Time: 1 Day | 🧩 Level: Introductory

🔄 6. Encoder-Decoder Architecture: Overview

This is where we go under the hood. The encoder-decoder framework is the backbone of tasks like translation, summarization, and Q&A. This intermediate course breaks down each part and how they collaborate.

📌 Perfect For: Developers building real-world NLP apps
📅 Time: 1 Day | 🧩 Level: Intermediate

🎯 7. Attention Mechanism: Overview

Attention isn’t just a buzzword—it’s what made Transformer models revolutionary. Learn how this mechanism improves AI focus and context when processing long inputs (like entire books or transcripts!).

📌 Perfect For: Intermediate learners diving into Transformer models
📅 Time: 1 Day | 🧩 Level: Intermediate

🔁 8. Transformer Models and BERT Model: Overview

Transformers changed AI forever. This course explains the BERT model and Transformer architecture, breaking down how modern models understand language better than ever.

📌 Perfect For: Aspiring NLP engineers and AI researchers
📅 Time: 1 Day | 🧩 Level: Introductory

🖼️ 9. Create Image Captioning Models

Combine vision and language! This course teaches you to build a system that generates captions for images using deep learning. It covers architecture and training pipelines for multimodal learning.

📌 Perfect For: ML developers exploring multi-task learning
📅 Time: 1 Day | 🧩 Level: Intermediate

🎓 Final Thoughts

From basic concepts to powerful architectures like Transformers, this learning path is an ideal roadmap for beginners and intermediate learners to enter the world of Generative AI. Whether you’re building next-gen apps or exploring AI responsibly, these modules are a solid launchpad to your GenAI journey.

✅ Pro Tip: Complete the skill badge to boost your CV and LinkedIn profile!

✍️ Abhishek’s Notes

As someone deeply passionate about the intersection of cloud and AI, I found this topic—Generative AI and how we deploy it using language models and orchestration tools like Azure AI Foundry—not just futuristic but extremely practical.

What truly stood out for me:

• No-code & Low-code options are opening doors for non-developers to build AI apps.
• LLMs (Large Language Models) are no longer just chatbots—they’re the backbone of automation and intelligent systems in every industry.
• Azure AI Foundry simplifies deployment so we focus more on value and less on infrastructure.

🌟 My takeaway?
If you’re building anything AI-related in 2025, you don’t have to start from scratch. You just need the right tools, a clear use case, and a drive to explore.

This blog is my attempt to decode complex AI tech for everyone, regardless of your background.

Let’s learn. Let’s build. Let’s share.

— Abhishek Kumar

#AzureAI #GenerativeAI #OpenAI #AIWithAzure #AzureFoundry #LargeLanguageModels #NoCodeAI #LowCodeAI #AIDevelopment #CloudComputing #FirstCrazyDeveloper #AbhishekKumar