Short answer: Yes! Anthropic has 4 certs as of now. I’ve cleared all 4. I’ve trained 100s of folks to clear them, so far. I’ve answered a lot of questions about them. So it’s about time I compiled simple info about them to help others: What are these certs about? As depicted in the above image, Anthropic has launched 2 difficulty levels and 3 role-specific tracks for the 4 certs. There is the Foundations level – which is the “easy” level. That is followed by the Professional level. The Professional level is supposed to be harder than the Foundations. Emphasis…
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In Part 1 I simplified how a Vector DB works. Now, we’ll dive deeper. How does a “chunk” of text get converted into numbers? Let’s scale this down to understand this better. Let’s assume that we use an embedding model with just 3 dimensions. Let’s assume that these dimensions are: For this fictitious example, let’s consider an input chunk like “I took a bite out of the crisp, juicy apple from the orchard.” This could lead to a 3 co-ordinate tuple like [-0.9, -0.7, -1.0]. Because the sentence is related to nature, it’s talking about an edible item and it…
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I was driving on the Mumbai-Pune Expressway some time back with my family. My 8 yr old had a bunch of curious questions, as usual. While providing a long drawn answer I caught myself using the phrase “false positive”. After a while, I was the only person left awake in the car (btw, no prizes for guessing how they all fell asleep). I started thinking to myself how do I explain the concept of a “false positive” in such a way that my daughter could understand it. Hmm. Then I had a Eureka moment. The boy who cried Wolf! It…
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I recently conducted an “Agentic AI 101” course at Persistent Systems. I started with the fundamentals (Agent, Tool, RAG, etc). Then I moved into hands-on implementations using 3 flavors to satisfy the mixed crowd – Langflow, Amazon Bedrock Agents, and finally LangGraph. The tricky part wasn’t teaching the content. It was deciding on a good subjective assessment. Most ideas I came up with fell into one of two buckets: I discarded idea after idea… until Blinkit arrived with a Goldilocks-style perfect solution (or should I say problem). The delivery guy handed me my groceries in a brown paper bag that…
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If you are already familiar with the AWS landscape and want to get started with Agentic AI – look no further. Get started with Amazon Bedrock Agents. It’ll be way easier than you learning a completely new framework. This is of course NOT paid endorsement. I just want more people to get their hands dirty with Agentic AI rather than stand by and be a spectator saying to themselves “If only I knew Python”. What is Bedrock Agents? Bedrock Agents is an AWS-stack specific way of building out Agents and Workflows. Below is a diagram that we usually use to…
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Vector Databases have become popular with the advent of GenAI. And rightfully so. They are a useful tool for “Context Engineering” for GenAI applications particularly for RAG (which deals with a lot of unstructured data). But they are also slightly difficult to comprehend. We live and breathe in a 3D world. Hence, it’s difficult for any person to fully grasp say a 1024-dimension vector collection. Solution? Instead of moving towards hyperdimensions let’s move 1 dimension down. Let’s consider a 2D plane. Nothing fancy – just consider a blank rectangular table top. Now, consider that we have a stack of animal…
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Tell me if this sounds familiar. You want to get more familiar with GenAI. You start to read an article or watch a video. But soon you start drowning in the quicksand of unnecessary theory, fragmented tutorials and multiple pathways. It’s not your fault. The waters of GenAI are muddled with too many confusing options. I’ve witnessed countless talented individuals get trapped in this maze, spending months consuming content fruitlessly. They end up building neither anything substantial to showcase nor their confidence. Valuable time and effort both wasted in the wrong pursuits. Ouch! Some learners get advised to fully comprehend…
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I’d been dilly-dallying for a while about this newsletter. Reason? Too many options. · “Should I write about low-code frameworks vs full-code frameworks?” · “What about this growing trend of multiple frameworks from the same hyperscaler?” · “Or maybe a simple article explaining a real-world application of Agentic AI?” This was a classic case of analysis-paralysis. Finally, had an idea. I decided to pen a few words on the “problem of plenty” itself. A lot of individuals reach out to me who want to start learning Agentic AI BUT are wrestling with abundance-led confusion. · Should I learn LangGraph or…
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Goal On this page you will find simple guidance on which Agentic AI Framework to start learning. Advice If you are already fluent in a programming language, pick a framework available in your language. That’s it. Eliminate all of the other options from the selection board. Make it easier for yourself by choosing a framework in the language whose basics you already know. That will cut down your learning effort and time. If you don’t know how to code, best to pick a low-code or no-code framework. Alternatively, you could learn the basics of Python and augment yourself with a…
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When I joined Persistent Systems on 4th July 2005, I expected to spend 1 or 2 years in Pune and then switch to some other company to be back in Mumbai. Little did I know, that my relationship with Persistent would extend to 20 years. And that I would end up moving my home base to Pune! Here’s to looking back with gratitude to all that I got to do at Persistent! Projects I’m glad that I got to work for a variety of interesting customers including I donned multiple hats during this tenure. I went from JSP Dev to…