AI in Production: Gen AI and Agentic AI at scale from Udemy. Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.

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Courses Contents

1. Overview of AI in Production: Gen AI and Agentic AI at scale Course on Udemy

2. What to Expect from the AI in Production: Gen AI and Agentic AI at scale Course

3. What You Will Learn in AI in Production: Gen AI and Agentic AI at scale

4. Why Choose This AI in Production: Gen AI and Agentic AI at scale Course on Udemy

5. Recommended Courses with Production AI Focus

6. Our Review of AI in Production: Gen AI and Agentic AI at scale Course

7. Rating the AI in Production: Gen AI and Agentic AI at scale Course

8. Additional Information from Search Insights

Overview of AI in Production: Gen AI and Agentic AI at scale Course on Udemy

The “AI in Production: Gen AI and Agentic AI at scale” course on Udemy is an advanced guide for deploying generative AI and agentic AI systems across major cloud platforms. You’ll learn to implement scalable, secure, and observable AI solutions using MLOps, AWS Bedrock, SageMaker, RAG, intelligent agents, and MCP. Perfect for engineers and architects, this course bridges development and production realities. Featuring 13.5 hours of on-demand video, 2 articles, and 4 downloadable resources, instructors Ed Doner and Ligency Team deliver enterprise-level insights. Enjoy lifetime access, mobile and TV compatibility, and a certificate of completion. Enroll today with udemy coupon codes LAUNCH\_OFFER (valid until September 30, 2025—check the offer box below for the discount link!)

What to Expect from the AI in Production: Gen AI and Agentic AI at scale Course

This course offers a comprehensive, hands-on exploration over 13.5 hours of video content, targeting intermediate to advanced AI practitioners with cloud experience. Ed Doner and the Ligency Team employ a practical, deployment-focused teaching style, guiding you through real-world setups on AWS, GCP, Azure, and Vercel. Expect in-depth labs on building RAG pipelines, agentic workflows, and monitoring systems. Udemy’s intuitive platform enables flexible learning on desktop, mobile, or TV, empowering you to deploy production-ready AI systems at scale.

What You Will Learn in AI in Production: Gen AI and Agentic AI at scale

* Deploy generative AI models to cloud platforms like AWS Bedrock and SageMaker for efficient scaling.

* Implement MLOps pipelines to automate AI workflows from development to production.

* Build RAG (Retrieval-Augmented Generation) systems to enhance AI accuracy and relevance.

* Design agentic AI architectures that autonomously handle complex tasks with observability.

* Secure and monitor AI applications using best practices across GCP, Azure, and Vercel.

* Integrate multi-cloud strategies with MCP for resilient, enterprise-grade deployments.

Why Choose This AI in Production: Gen AI and Agentic AI at scale Course on Udemy

With Ed Doner’s deep expertise in AI engineering and the Ligency Team’s industry-proven methods, this course—updated in September 2025—stands out for its focus on real production challenges. It’s ideal for professionals seeking to operationalize generative AI and agentic AI in enterprise environments, offering actionable strategies over generic theory. The 13.5-hour duration, plus 2 articles and 4 downloadable resources, ensures thorough, high-impact learning. Use udemy promo codes LAUNCH\_OFFER to get it at a discount (see offer box)!

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* MLOps Fundamentals: From Model to Production – Master deployment pipelines for scalable machine learning on AWS and Azure.

* Building Generative AI Applications with LangChain – Explore LLM orchestration and RAG for dynamic AI solutions.

* Cloud AI Engineering on GCP and SageMaker – Dive into multi-cloud AI strategies with hands-on labs.

Our Review of AI in Production: Gen AI and Agentic AI at scale Course

As a website admin, this course impresses with its enterprise-oriented structure, blending cutting-edge theory with deployable code examples from Ed Doner and the Ligency Team. It excels in demystifying MLOps for generative AI, making it invaluable for teams scaling AI initiatives. The multi-platform coverage and emphasis on security/observability add real-world polish, though it may overwhelm those new to cloud basics.

9.9Expert Score

AI in Production: Gen AI and Agentic AI at scale

Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.

13.5 hours on-demand video

9.9

1 article

9.9

Access on mobile and TV

9.9

Full lifetime access

9.9

Certificate of completion

9.9

Pros:

* Detailed, platform-agnostic guidance on deploying agentic AI at scale.

* Rich resources including code templates and monitoring checklists.

* Timely updates reflecting the latest in cloud AI tools.

Cons:

* Assumes familiarity with basic cloud services, limiting beginner accessibility.

* Could expand on cost-optimization for large-scale deployments.

With udemy courses coupon LAUNCH\_OFFER, it’s a steal!

Rating the AI in Production: Gen AI and Agentic AI at scale Course

* Content: 9.9/10 – In-depth exploration of RAG and agentic AI for production environments.

* Delivery: 9.9/10 – Expert-led with clear, lab-driven pacing for professionals.

* Value: 9.9/10 – Affordable with udemy discounts coupon LAUNCH\_OFFER.

Enroll now to master production AI with this top-tier course!

Additional Information from Search Insights

Trending searches highlight keywords like generative AI, agentic AI, MLOps, RAG, and SageMaker, aligning perfectly with the course’s emphasis on scalable deployments. Interest in multi-cloud strategies and AI systems security reflects growing demands in enterprise AI, positioning this course as a strategic resource for developers and architects navigating production complexities in a rapidly evolving field.