Cohort 1

Cloud Solution Architect

Sai Kovvuri

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

Your agents cost too much and deliver too little. Be the one who fixes both.

Coined Memory Engineering | AI @Oracle

Richmond Alake

Built the agent memory course with Andrew Ng's team. Trains enterprise AI teams.

Introduction To AI Agent Memory

ascxend

<h3>Why I enrolled</h3>

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<h3>What I’ll apply</h3>
<p class="p2-tall">I work with lot of startups and Richmond's take that memory is MOAT is what I will lean on and have my customers focus on </p>
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Certificate

Learn more about this course