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Course Category Course Category 
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Solution Architects are expected to balance business goals, technical feasibility, scalability, security, cost, and stakeholder expectations. Generative AI and Agentic AI are transforming this process by accelerating solution design, validating architectural decisions, automating documentation, optimizing costs, and streamlining proposal development.
The Generative AI & Agentic AI for Solution Architects course equips architects with practical, hands-on skills to design enterprise-ready solutions using AI. Through live instructor-led sessions, hands-on labs, and real-world scenarios, you'll learn to generate architecture documents, automate RFP responses, evaluate vendors, optimize solution costs, assess risks, and create stakeholder-ready proposals with greater speed, accuracy, and confidence.
Go from client requirements to a complete architecture doc in a single working session, not a week
Catch what a manual review misses, security gaps, single points of failure, scalability assumptions that won't hold
Win more RFPs with AI-generated gap analysis and vendor comparisons your competitors are still doing by hand
Back every architecture decision with a real TCO model and ROI case, not gut instinct
Build and deploy a client-ready AI solution with architecture, financial model, risk assessment, stakeholder communication, and executive presentation, including a project designed to reduce proposal time from 40 hours to 8 hours.
REQUIREMENTS ANALYSIS & DOCUMENTATION:
Content (Live Coding)
Your Business Requirements → Complete Solution Architecture Doc
Hands-on Lab
RFP RESPONSE & VENDOR COMPARISON
Content
RFP Requirements → Structured Response & Gap Analysis
Vendor Evaluation → Technical Comparison Report
Hands-On Lab:
Deliverable: Professional RFP response and evaluation reports
Objective: Build autonomous agents that validate solutions and optimize architectures.
SOLUTION VALIDATION AGENTS
Content
Solution Architecture Validation Agent
Outcome: Architecture validated before proposal
Hands-on Lab
COST OPTIMIZATION & RISK ANALYSIS
Content
Cost Optimization Agent
Outcome: Data-driven financial recommendations
Risk Analysis Agent
Outcome: Comprehensive risk assessment ready for stakeholders
Hands-on Lab
Objective: Integrate agents with stakeholder management and proposal tools.
EXECUTIVE PRESENTATION AUTOMATION
Content
Executive Summary Generator
Hands-on Lab
STAKEHOLDER & VENDOR INTEGRATION
Content
Stakeholder Management Agent
Proposal Generation Agent
Hands-on Lab
Objective: Build complete solution for a real engagement.
PROJECT DESIGN
Requirements
Example Projects
Complete Solution Proposal
Architecture Review & Optimization
Multi-Vendor Evaluation & Selection
BUILD, TEST & DEPLOY
Hands-on
Deliverables
There is no exam for this program.
This course transformed the way I manage projects. I’m finally ahead of the game.
The questions, tools, and case studies all felt tailor-made for a architect like myself. Agilefever has helped me manage smoother sprints and more effective meetings.
I was hesitant about AI. Now I can’t work without it. AgileFever made Gen AI and Agentic AI simple, useful, and surprisingly fun to learn.
Many architects on technical communities initially felt AI was “just another tool.” Most changed their view after using it for requirements analysis, ADRs, trade-off analysis, and design reviews where hours of work became minutes.
A common concern in architecture forums: AI can suggest options and identify patterns, but business judgment, trade-offs, and stakeholder decisions still require experienced architects.
No. The focus is on architecture thinking, decision-making, system design, and AI-assisted workflows.
Yes. AI can generate architecture options, compare trade-offs, draft ADRs, identify risks, and help stress-test assumptions.
Yes. The course covers architecture design and optimization across modern cloud environments.
Yes — but the focus is on how you use AI as a tool in your architecture practice, not on building LLM/RAG systems yourself (that’s covered in our GenAI and Agentic AI Bootcamp). You’ll use AI agents to validate designs, generate documentation, model costs, and build proposals — skills that apply whether the underlying project is AI-related or not.
Very practical. You’ll produce 5 real deliverables — architecture documentation, a financial model, a risk assessment, a client proposal, and an executive presentation — based on realistic scenarios, not theory exercises.
You’ll be able to use AI agents across the full pre-sales and design lifecycle — from requirements analysis and architecture documentation, through validation, cost optimization, and risk assessment, to a client-ready proposal and executive presentation.
You’ll gain practical expertise in AI-powered solution design, architecture validation, proposal automation, stakeholder communication, and enterprise decision-making, helping you deliver better solutions faster and strengthen your role as a Solution Architect.
AgileFever delivers hands-on training led by industry experts, combining real-world enterprise scenarios, AI-powered architecture workflows, practical projects, and immediately applicable skills that Solution Architects can use in client engagements and enterprise transformation initiatives.