Description
100 Projects to Build Forward Deployed Engineers Portfolio is a course on developing a strong portfolio of applied software and AI solutions published by Udemy Online Academy. Focusing on the skills needed by future deployed engineers, the program emphasizes building real-world applications that solve technical and business problems in a variety of environments. This hands-on, project-based course is designed for developers, software engineers, data engineers, AI engineers, solution architects, and technical professionals who want to become a Forward Deployed Engineer, strengthen their hands-on experience, and stand out in technical interviews. Learners will work with software development, APIs, databases, cloud services, automation, AI systems, data processing, integrations, and production deployments, while developing solutions that demonstrate practical engineering ability.
You need a work sample that proves you can understand requirements, design solutions, connect systems, build prototypes, deploy applications, and deliver measurable business value. The course includes hands-on projects that include MCP servers, RAG systems, LLM applications, AI agents, vector databases, natural language SQL, recovery assessment, re-ranking, citations, rapid security, and model visibility. Ultimately, you will incorporate these skills into full-fledged enterprise applications including Sales Copilot, Finance Copilot, Support Bot, Compliance Assistant, Incident Response Platform, Customer Health Program, Executive KPI Dashboard, and AI-powered Data Catalog.
What you will learn in 100 Projects to build Forward Deployed Engineers Portfolio:
- Build a job-ready Forward Deployed Engineer portfolio through 100 practical projects.
- Design reliable data pipelines, ETL workflows, and streaming systems.
- Build and integrate REST APIs, GraphQL services, webhooks, and SaaS connectors.
- Create MCP servers that connect enterprise tools, data, and AI agents.
- Develop production-focused RAG systems, LLM applications, and AI agents.
- Evaluate AI systems for accuracy, hallucinations, latency, cost, and security.
- Implement observability, monitoring, feedback loops, and automated alerts.
- Apply security, governance, identity, audit, and compliance controls.
- Build real-time applications using Kafka, Spark, Flink, Redis, and WebSockets.
- Create end-to-end enterprise solutions such as copilots, support bots, and dashboards.
- Document system architecture, technical decisions, and measurable business impact.
- Present projects effectively on GitHub, LinkedIn, resumes, and during interviews.
- and …
Course specifications
Publisher: Udemy
Instructors: School of AI and Arjun Vaid
Language: English
Level: Introductory to Advanced
Number of Lessons: 101
Duration: 13h 35m
Course topics
100 Projects to build Forward Deployed Engineers Portfolio Prerequisites
Basic programming knowledge in Python, JavaScript, Java, or a similar language is helpful.
A computer capable of running development tools and local applications.
Basic familiarity with databases, APIs, and command-line tools is recommended.
Access to a code editor such as Visual Studio Code.
A GitHub account for publishing and showcasing completed projects.
Some projects may require free accounts for cloud, database, or SaaS platforms.
No previous Forward Deployed Engineer experience is required.
Advanced AI, data engineering, or cloud experience is not required to begin.
A willingness to research, troubleshoot, experiment, and improve projects.
Learners can complete projects selectively based on their current skill level and career goals.
Pictures
100 Projects to build Forward Deployed Engineers Portfolio introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 2160p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
6.8 GB