Ligency ​

AI Engineer Production Track: Deploy LLMs & Agents at Scale

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AI Agents · Online Course

AI Engineer Production Track: Deploy LLMs & Agents at Scale Reviews & Product Details

The AI Engineer Production Track moves beyond simple chatbot prototypes and dives deep into the high-stakes world of enterprise-grade AI deployment. This comprehensive program is meticulously designed to bridge the gap between local development and production-ready infrastructure. You will master the complexities of deploying Large Language Models and sophisticated Agentic systems across leading cloud providers such as AWS, GCP, Azure, and Vercel. The curriculum places a heavy emphasis on MLOps, ensuring that your AI architectures remain scalable, observable, and secure in a real-world environment. Participants will gain hands-on experience with modern industry standards, including Amazon Bedrock, SageMaker, and advanced multi-agent orchestration. By integrating automation via Terraform and GitHub Actions, this course empowers developers to manage end-to-end lifecycles—from development and testing to continuous delivery. Whether you are aiming to implement robust RAG pipelines or complex Agentic loops with guardrails, this track provides the technical foundation needed to build AI solutions that businesses can trust, monitor, and scale under heavy production loads.

Best For

Software engineers transitioning into AI/ML roles. Cloud architects looking to specialize in LLM deployment pipelines. Developers who have built LLM prototypes but struggle with scaling. MLOps engineers focused on automating the model lifecycle.

Not For

Absolute beginners with no programming experience. Individuals seeking basic prompt engineering tutorials. Learners strictly interested in theoretical AI research without infrastructure requirements.

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About the Creator

Ligency is a specialized team of AI engineers and educators dedicated to bridging the gap between theoretical machine learning concepts and practical, production-grade applications. With a focus on the rapidly evolving landscape of Large Language Models (LLMs), agents, and automation, Ligency has established itself as a premier technical resource for students aiming to transition from casual AI users to professional AI builders. Their pedagogical approach is deeply rooted in the philosophy of learning by doing, prioritizing hands-on implementation over passive observation. By demystifying complex technologies such as RAG (Retrieval-Augmented Generation), QLoRA, and agentic workflows, they provide a structured pathway for developers to master modern tech stacks like n8n for automation and Vibe Coding for rapid development. Whether you are looking to build sophisticated voice agents or deploy scalable AI systems into live production environments, Ligency offers comprehensive training that reflects real-world engineering standards. Their curriculum is designed for those who seek to understand the underlying mechanics of autonomous agents, ensuring that every learner leaves with the technical proficiency to solve tangible business problems through intelligent automation and refined prompt engineering. Through their structured tracks, they foster a community of forward-thinking engineers ready to tackle the challenges of the AI-native future.

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