Course Includes:
- Price: FREE
- Enrolled: 515 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
Coupon verified 04:32 AM (updated every 10 min)
Course Folder
What You'll Learn
- Translate customer problems into clear AI use cases
- requirements
- success metrics
- and implementation plans.,Design scalable enterprise AI architectures using models
- APIs
- databases
- data pipelines
- cloud services
- and user interfaces.,Build maintainable AI applications with Python
- FastAPI
- REST APIs
- SQL
- testing
- logging
- and error handling.,Develop production-ready Generative AI and large language model applications with prompts
- structured outputs
- sessions
- and guardrails.,Build advanced Retrieval-Augmented Generation systems using document ingestion
- chunking
- embeddings
- vector databases
- hybrid search
- reranking
- and citations.,Create AI agents that use tools
- APIs
- databases
- memory
- state
- human approvals
- and failure-recovery strategies.,Design multi-agent systems using routing
- supervisor-worker patterns
- specialized agents
- shared context
- and Model Context Protocol integrations.,Package and deploy AI applications using Docker
- cloud platforms
- CI/CD pipelines
- secrets management
- scaling
- and rollback strategies.,Evaluate and monitor AI systems using test datasets
- observability
- tracing
- human review
- cost tracking
- and performance metrics.,Implement AI security
- privacy
- responsible AI
- audit logging
- governance
- and human-oversight controls.,Conduct customer discovery sessions
- manage stakeholders
- present technical trade-offs
- and communicate measurable business value.,Complete a production-style enterprise AI capstone project and create a professional AI engineering portfolio.
Requirements
- Basic programming knowledge is helpful
- but advanced AI or machine learning experience is not required.,Familiarity with Python fundamentals is recommended
- although essential concepts are reviewed during the course.,A computer capable of running a code editor
- web browser
- Python
- Git
- and Docker is recommended.,Internet access is required for software packages
- AI model providers
- cloud platforms
- documentation
- and deployment exercises.,A code editor such as Visual Studio Code or another preferred development environment.,Free or trial accounts may be needed for selected cloud services
- AI model providers
- source-control platforms
- or vector databases.,Basic familiarity with APIs
- databases
- Git
- or cloud computing is useful but not mandatory.,A willingness to troubleshoot
- experiment
- review logs
- improve failed solutions
- and complete hands-on projects.,No previous consulting
- solution architecture
- data science
- or Forward Deployed Engineering experience is required.,Many exercises can be completed locally or with free service tiers
- so paid cloud resources are not required for every project.
Description
This course contains the use of artificial intelligence.
Become an AI Forward Deployed Engineer who can transform ambitious AI ideas into secure, scalable, measurable, production-ready enterprise solutions.
AI Forward Deployed Engineer: 52-Week Mastery is a comprehensive, hands-on program designed for developers, AI engineers, software engineers, solution architects, technical consultants, and technology professionals who want to master production AI engineering, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, cloud deployment, enterprise integration, and customer-facing technical delivery.
Over 52 weeks, you will learn the complete AI solution delivery lifecycle, from customer discovery and requirements gathering to architecture, development, testing, deployment, monitoring, governance, and business value measurement. You will learn how Forward Deployed Engineers identify high-value business problems, define technical requirements, design practical architectures, build rapid prototypes, integrate enterprise systems, and move AI applications into production.
The course begins with essential engineering skills including Python, FastAPI, REST APIs, SQL, Git, backend development, testing, logging, data pipelines, and API integration. You will build reliable AI services that connect models with databases, documents, enterprise applications, APIs, and business workflows.
You will then explore machine learning and Generative AI, including large language models, prompt engineering, structured outputs, context management, model selection, latency optimization, token management, and AI cost optimization. You will build secure conversational AI applications with guardrails, user sessions, feedback systems, and human approval workflows.
A major focus of the program is Retrieval-Augmented Generation (RAG). You will work with embeddings, vector databases, semantic search, hybrid search, metadata filtering, reranking, document ingestion, citations, hallucination reduction, and RAG evaluation. You will build enterprise knowledge assistants that generate grounded answers using trusted organizational information.
You will also design AI agents and multi-agent systems capable of using tools, calling APIs, querying databases, maintaining memory and state, recovering from failures, and escalating sensitive actions to humans. Advanced topics include agent routing, supervisor-worker architectures, multi-agent orchestration, shared context, tool calling, and the Model Context Protocol (MCP).
Production engineering modules cover Docker, CI/CD pipelines, cloud deployment, secrets management, scaling, observability, tracing, monitoring, rollback strategies, incident response, reliability, and AI cost tracking. You will learn how to deploy and operate AI applications safely in real enterprise environments.
The program also covers AI security and governance, including prompt injection defense, access control, privacy, responsible AI, audit logging, data protection, human oversight, and enterprise AI risk management.
Throughout the course, you will complete hands-on exercises, architecture challenges, customer-style scenarios, and portfolio projects. You will practice customer discovery, stakeholder communication, solution demonstrations, technical trade-off discussions, and business-value presentations.
The 52-week journey concludes with a complete enterprise AI capstone project that you will design, build, deploy, document, evaluate, and present.
By the end of the program, you will have practical experience across AI engineering, RAG, Generative AI, AI agents, FastAPI, APIs, Docker, cloud deployment, enterprise architecture, AI security, governance, technical consulting, and customer-facing delivery—the core skills required for modern AI Forward Deployed Engineer roles.
No advanced AI background is required. The curriculum progresses from foundational software engineering to production-grade enterprise AI delivery, giving you a structured roadmap and portfolio evidence to demonstrate your ability to solve real-world AI problems.
Who this course is for:
- Software developers who want to transition into AI engineering
- applied AI
- or Forward Deployed Engineering roles.,AI and machine learning engineers who want stronger skills in enterprise integration
- deployment
- customer discovery
- and production delivery.,Solution architects and cloud engineers who need to design secure
- scalable
- and observable Generative AI platforms.,Data engineers and analysts who want to build RAG pipelines
- AI assistants
- intelligent workflows
- and agent-powered applications.,Technical consultants and implementation specialists who work directly with customers and convert business requirements into deployed AI solutions.,Product managers and technical product professionals who want to understand AI architecture
- feasibility
- delivery risks
- and evaluation.,DevOps
- platform
- and MLOps engineers who want to support containerized AI services
- CI/CD pipelines
- monitoring
- governance
- and production operations.,Freelancers
- founders
- and technical entrepreneurs who want to deliver enterprise-grade AI solutions or launch AI-powered products.,Career changers with programming experience who want a structured 52-week path toward an AI engineering portfolio.,Students and recent graduates seeking practical experience beyond theoretical machine learning or prompt-engineering courses.,Anyone who wants to build production-ready AI systems rather than stopping at notebooks
- basic chatbots
- or proof-of-concept demonstrations.
Recommended Courses
Cybersecurity Mastery: Fundamentals to Defense Ops
FREE
Explore the full security stack from core concepts and cryptography to SOC, SIEM, cloud, and incident response.
Enrolled
Agentic AI for Absolute Beginners — A 52 Week Course
FREE
Learn AI agents, tools, memory, workflows, safety, automation, and Python through a beginner-friendly 52-week journey.
Enrolled
Chief Product Officer Mastery: 52-Week Program
FREE
Lead product strategy, innovation, growth, teams, and transformation through a year-long executive program.
Enrolled
Personal Brand Marketing: Build Authority and Audience
FREE
Create a credible online presence, publish authority-building content, grow a loyal audience, & monetize your expertise
Enrolled
Certified Chief Data & AI Officer (CDAIO) Executive Mastery
FREE
Lead enterprise data, analytics, governance, and AI transformation across industries in a 52-week executive program.
Enrolled
Trendjacking 101: Turn Viral Moments Into Brand Growth
FREE
Discover trends early, create timely content, protect your brand, and join viral conversations without appearing forced
Enrolled
Email Marketing That Converts: Write Campaigns People Open
FREE
Grow your list, improve open rates, write persuasive emails, and build automated campaigns
Enrolled
Forward Deployed Architect: Enterprise Architecture
FREE
Master enterprise solution architecture, cloud, data, AI, security, integrations, and forward-deployed delivery skills.
Enrolled
AI-Powered SOC Analyst Bootcamp: AI Security Operations
FREE
Master SOC Analysis with AI: Detect Threats, Investigate Incidents, Automate Workflows & Build AI Security Assistants
EnrolledPrevious Courses
AB-210 Microsoft Dynamics 365 Sales AI Consultant Associate
FREE
Prepare for AB-210 with Dynamics 365 Sales, Copilot, AI agents, Dataverse, guided workshops, and practice tests.
Enrolled
52 Week - Certified Applied AI and Data Science Program
FREE
Master Python, data science, machine learning, GenAI, agents, MLOps, governance, and deployment through applied projects
Enrolled
Chief Sustainability Officer Mastery: 52 Weeks
FREE
Lead ESG strategy, climate action, net-zero transformation, sustainable finance, reporting, and enterprise change.
Enrolled
High-Converting Funnel Marketing: Turn Clicks Into Customers
FREE
Design landing pages, offers, nurture sequences, and conversion journeys that transform traffic into predictable income
Enrolled
Databricks Machine Learning Pro — 1500 Exam Questions
FREE
Covers Enterprise Machine Learning, MLflow, MLOps, Distributed ML, Deployment, AI Governance and Responsible AI
Enrolled
Digital Marketing: Build a Full-Stack Growth System
FREE
Learn content, SEO, social media, email, funnels, advertising, and analytics through one complete marketing project
Enrolled
Google Chrome Enterprise Administrator Pro – 1500 Questions
FREE
Covers Chrome Enterprise Core, browser policies, extensions, security, reporting, updates and troubleshooting
Enrolled
Crea tus Aplicaciones sin Código (No code) con FlutterFlow
FREE
Convierte en realidad tus ideas a través de aplicaciones, sin la necesidad de código con Flutterflow, desde 0 a avanzado
Enrolled
Google Cloud Network Engineer Pro - 1500 Exam Questions
FREE
Covers VPC architecture, routing, traffic delivery, hybrid connectivity, network security, and troubleshooting.
Enrolled