AI Forward Deployed Engineer Extensive Program
Published 10/2026
Created by Skill Surger
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 153 Lectures ( 22h 23m ) | Size: 21.7 GB
Build, deploy, secure and operate production-grade GenAI, RAG and agentic AI systems as a Forward Deployed Engineer.
What you’ll learn
⚡ Understand AI, especially Gen AI from beginner to advanced, in both conceptual and hands on way
⚡ Build production-ready Python services and REST/GraphQL APIs for AI applications.
⚡ Explain transformer and LLM internals well enough to make model, context and serving decisions.
⚡ In depth topics deep dive on Gen AI like RAG, Fine tuning, Agentic AI, long running agents, MCP/ A2A
⚡ Lead the FDE consulting lifecycle from technical discovery and architecture through UAT, ROI and executive handoff.
⚡ Secure GenAI applications with SSO, RBAC, PII controls, sandboxing, guardrails and prompt-injection defenses.
⚡ Optimize inference for latency, throughput and cost using caching, batching, quantization and parallelism.
⚡ Lead the FDE consulting lifecycle from technical discovery and architecture through UAT, ROI and executive handoff.
Requirements
❗ Basic programming knowledge in Python and familiarity with SQL, APIs and Git.
❗ A laptop or development environment capable of running Python and Docker.
❗ Willingness to debug real systems and work through hands-on engineering exercises.
Description
This course contains the use of artificial intelligence.
Master Enterprise Generative AI Engineering: From Foundations to Production-Ready AI Systems and Forward Deployed Engineering (FDE)
Are you ready to move beyond AI demos and build enterprise-grade Generative AI solutions that solve real business problems?
This comprehensive, hands-on program is designed to equip aspiring AI engineers, software developers, solution architects, technical consultants, and Forward Deployed Engineers (FDEs) with the practical skills required to design, develop, deploy, optimize, and maintain production-ready Generative AI applications.
Starting with essential foundations in Python, APIs, cloud computing, machine learning, and deep learning, you will progressively explore Large Language Model (LLM) architectures, transformer fundamentals, tokenization, embeddings, context engineering, and prompt optimization.
You will learn to build sophisticated Retrieval-Augmented Generation (RAG) applications, implement hybrid search and reranking strategies, work with vector databases, develop multimodal AI solutions, and customize models using techniques such as LoRA, QLoRA, and supervised fine-tuning.
The course then advances into Agentic AI and autonomous systems, where you will design intelligent agents capable of reasoning, planning, using tools, maintaining memory, and executing complex workflows. You will explore modern interoperability approaches, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication, to integrate AI agents with enterprise applications and services.
Beyond development, you will gain practical experience with enterprise AI security, authentication, authorization, guardrails, evaluation frameworks, observability, LLMOps, inference optimization, scalability, latency reduction, and cost management.
What makes this program distinctive is its emphasis on the complete Forward Deployed Engineering lifecycle.
You will learn how to translate customer requirements into technical architectures, build proofs of concept, integrate solutions with enterprise infrastructure, evaluate production readiness, manage deployments, and demonstrate measurable business value.
Throughout the course, you will apply your knowledge through practical exercises, real-world enterprise scenarios, and implementation-focused projects.
By the end of the program, you will have completed two portfolio-ready FDE capstone projects, demonstrating your ability to engineer secure, scalable, reliable, and cost-efficient Generative AI systems.
Whether you want to become a Generative AI Engineer, AI Solutions Architect, Agentic AI Developer, or Forward Deployed Engineer, this course provides a structured pathway from foundational knowledge to enterprise AI implementation skills.
Go beyond prompting. Learn to engineer, deploy, and deliver Generative AI solutions for the real world.
Who this course is for
⭐ Beginners to advanced career people who want to pursue career in AI, especially Gen AI
⭐ Software engineers and backend engineers moving into Generative AI
⭐ AI/ML engineers who want production, integration and enterprise deployment skills.
⭐ Solution architects and technical consultants preparing for Forward Deployed Engineer roles.
⭐ Technical leaders who need an end-to-end understanding of enterprise GenAI and agentic systems
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