Udemy — AI Forward Deployed Engineer: 52-Week Mastery 2026-9

Description

This course frames enterprise AI delivery as a learning path that begins with customer discovery and ends with deployment and evaluation. It connects business needs, technical requirements and success criteria with application architecture, Python services, REST APIs, SQL data and testing. Generative-AI sections address prompts, structured responses, cost and latency, followed by document ingestion, vector search and retrieval-augmented applications.

The later material develops tool-using agents, memory, failure recovery and coordination between specialized agents. Docker, cloud services and automated delivery pipelines support deployment exercises, while tracing, test datasets, human review, access controls and event logs address operational concerns. Customer communication, technical tradeoffs and a final enterprise-oriented project bring the implementation topics back to the work of delivering and maintaining a solution.

Intended audience: Software developers, AI engineers and technical consultants working on enterprise integration. Solution architects, cloud engineers and data professionals exploring practical AI delivery.

What you will learn

• Turn customer needs into requirements, evaluation criteria and an AI delivery plan.
• Build API-backed applications connecting models, databases and documents.
• Implement retrieval pipelines and agents with tools, memory and recovery behaviour.
• Package and deploy applications using containers and automated delivery workflows.
• Plan evaluation, tracing, access controls and human review for an AI service.

Course specifications

Publisher

Udemy

Instructors

School of AI, Arjun Vaid

Level

Beginner to Advanced

Duration

42 hours and 45 minutes

Lecture count

261

Subtitle

None

Quality

2160p

Edition

2026-9

Course topics

View course topics

Prerequisites

• Basic programming knowledge; Python fundamentals are recommended.
• A computer capable of running Python, Git, Docker and a code editor.
• Internet access and relevant service accounts for selected model, database or cloud exercises.
• Familiarity with APIs, databases or cloud computing is useful but not compulsory.

Introduction video

Download resources

Choose one edition and keep its parts together. Alternate providers are available when listed.

Size

32.1 GB

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