Transform from beginner to published game developer by building a complete RPG game with cutting-edge AI integration. This comprehensive course takes you through every step of game development, from initial concept to Steam/Itch.io launch.
Final Project: A complete RPG game featuring:
This course is divided into 5 phases:
By the end of this course, you will:
No prior experience required! This course is designed for complete beginners, but intermediate developers will also benefit from the AI integration and business aspects.
What you'll need:
Game Development:
AI Integration:
Publishing & Business:
Questions about the course? Check out our FAQ section and related help articles.
Follow these lessons in order to complete the course
Define your game concept, target audience, and success metrics. Set up your development environment and create a project roadmap.
Initialize Unity project with proper folder structure and set up Git repository for collaboration workflow
Plan art style and create asset pipeline for your AI-powered RPG game. Set up Blender for 3D modeling and animation.
Build responsive player movement with C# scripting, implement camera controls and input handling for smooth character movement
Integrate ChatGPT API for dynamic dialogue and create NPC behavior trees with state machines for intelligent character interactions.
Use AI to generate dynamic quest content, create procedural quest systems, and build an infinite quest engine for your AI-Powered RPG Game.
Build an engaging combat system with AI-powered enemies that adapt to player behavior. Learn to create challenging, intelligent opponents for your AI-Powered RPG Game.
Build a comprehensive inventory system with item management, equipment slots, and AI-generated items. Learn to create engaging item mechanics for your AI-Powered RPG Game.
Learn to create immersive audio and stunning visual effects that bring your AI-powered RPG to life with professional polish and performance optimization.
Implement machine learning for adaptive difficulty and create AI-driven story generation that learns from player behavior
Optimize your game performance for target platforms and implement efficient AI processing. Learn profiling, memory management, and platform-specific optimizations.
Create intuitive game menus and HUD for your AI-powered RPG game with accessible user experience design
Implement comprehensive testing strategies and create automated testing systems for your AI-powered RPG game
Launch beta version for community testing and collect valuable feedback to improve your AI-powered RPG game before final release.
Learn how to prepare your AI-powered RPG game for Steam/Itch.io release, create compelling marketing materials, and set up your game store presence for maximum visibility.
Develop marketing strategy and social media presence for your AI-powered RPG game
Release your AI-powered RPG game and build a sustainable post-launch strategy for long-term success.
Master the critical launch day and post-launch operations for your AI-Powered RPG game. Learn how to manage live operations, monitor performance, handle player feedback, and ensure your game's long-term success.
Design and ship repeatable seasonal events for your AI-powered RPG using a practical event pipeline, live-ops calendars, reward tuning, and safe rollout strategies.
Reconcile the legacy AI RPG lesson set with the active 15-lesson planner syllabus, map keep/merge/retire decisions, and define one concrete gap-fill sequence.
Build a production-safe prompt guardrail system for AI RPG dialogue with lore constraints, refusal handling, and fallback behavior that protects player trust.
Design an API failure budget with clear retry rules and player-facing fallback messaging so AI RPG dialogue remains trustworthy during outages and traffic spikes.
Build a repeatable degraded-mode playtest script so AI RPG dialogue stays readable and trustworthy during API latency spikes, outages, and fallback-only windows.
Use this final AI dialogue release sign-off checklist to combine guardrails, failure budgets, degraded-mode tests, and ownership gates before shipping your RPG build.
Run an AI dialogue analytics confidence review and live-ops handoff so post-launch decisions use trusted telemetry, clear owners, and repeatable incident lanes.
Build a repeatable release-week incident retro template that turns telemetry drift and response gaps into owned fixes before the next AI RPG patch cycle.
Build a one-page patch-readiness briefing packet that converts retro outcomes and telemetry confidence into clear go, yellow, or red release sign-off decisions.
Run a lightweight two-week tracker after every promoted patch so yellow mitigations prove closed and live stability stays aligned with your go sign-off evidence.
Roll up Lesson 29 trackers across several builds into one release-train dashboard so yellow trends, dialogue health, and stability variance stay visible without duplicating Lesson 28 briefing packets.
Wire scheduled CSV exports and optional signed webhooks so your Lesson 30 rolling dashboard ingests closed Lesson 29 trackers without manual column copy or stale build IDs.
Promote Lesson 31 CSV and webhook rows into a read-only warehouse layer with stable schemas, least-privilege service accounts, and BI-safe views so RPG live-ops metrics stay trustworthy at scale.
Keep Lesson 32 warehouse views honest without surprise bills by defining per-owner query budgets, billing alerts, refresh SLAs for materialized summaries, and a break-glass path when dashboards spike scan costs.
Teach global live-ops teams how read replicas lag behind writers, how to label freshness on dashboards, and how to run a failover read path without breaking Lesson 32 contracts or Lesson 33 budgets.
When warehouse facts cross regions after Lessons 32-34, legal and player trust risk spikes. This lesson adds a residency map, deletion SLAs tied to player rights, and PII minimization so analytics stay defensible.
After residency and deletion SLAs, teams still miss one release blocker - vendor DPA coverage drift between ingest, storage, BI, and support tooling. This lesson builds a practical DPA checklist map you can audit before launch.
Compliance failures often happen after teams define deletion SLAs but before they can safely pause deletion during investigations. This lesson builds a legal-hold and retention-exception flow that stays auditable across regions.
After legal-hold and retention controls are in place, teams still fail DSAR deadlines when evidence is scattered across support, analytics, and vendor lanes. This lesson defines one packet and routing flow that keeps responses fast and auditable.
Vendor subprocessors change quietly. When your DPA inventory and DSAR routing fall behind those changes, compliance risk spikes. This lesson adds an alert protocol that keeps processor maps, holds, and access requests aligned.
When a vendor discloses a security incident, small teams lose time deciding what to reopen first. This lesson gives you one ordered cascade that ties subprocessor maps, DSAR risk, and legal-hold registers to a single incident row.
After a vendor breach row is open, teams still miss filing clocks and partner notice bundles. This lesson adds one evidence packet format that keeps jurisdiction triggers, legal ownership, and attachment versions aligned.
Initial incident notices are rarely final. This lesson gives you a post-notification amendment workflow so revised facts, correction notices, and player-facing updates stay synchronized without timeline drift.
Amendments slow the bleeding. Closure is where you prove containment worked, policies caught up, and regulators or partners can file the incident as administratively complete without hidden reopen risk.
Closed incidents still echo in metrics, support macros, and dashboards. This lesson adds a recurrence watch so reopened problems inherit prior packet ids instead of fragmenting history across duplicate incident rows.
Turn watch-level incident noise into a leadership-ready trend rollup. Build class-level recurrence signals, escalation thresholds, and ownership lanes without hiding unresolved risk.
Convert weekly recurrence signals into a quarterly audit pack that leadership can use for release timing, staffing tradeoffs, and escalation readiness without hiding unresolved risk.
Compare recurrence behavior across quarters so release owners can justify schedule and staffing decisions with trend deltas instead of isolated snapshots.
Turn quarter variance signals into a remediation budget policy so staffing and funding commitments match risk movement instead of static annual assumptions.
Define how temporary underfunding waivers expire, re-open for review, and auto-escalate so variance exceptions cannot silently persist across release windows.
Build a waiver debt dashboard that groups expiring exceptions by lane, severity, and release-window impact so leadership can prioritize burn-down before gate reviews.
Build a renewal throughput and approver latency scorecard so waiver decisions move faster and expiry-risk lanes are visible before release gates.
Build a waiver closure quality audit that verifies evidence completeness before renewals and closures leave watch lanes or enter release recommendation packets.
Build a waiver policy drift audit that compares intended exception policy with real lane-level closure behavior before release recommendations.
Build a waiver override pre-approval simulator that scores proposed exceptions against policy rules and drift history before watch-lane entry.
Build a waiver sunset enforcement scheduler that auto-triggers renewal or closure checkpoints before temporary exceptions expire.
Build a waiver renewal evidence completeness scorer so renewal approvals require policy-aligned proof before expiry extension.
Build a waiver renewal decision confidence tracker so repeated borderline approvals are flagged early and escalated before governance debt grows.
Build a waiver renewal override rationale quality checker so emergency approvals require explicit mitigation proof and rollback readiness before release acceptance.
Build an evidence freshness decay monitor so waiver renewal decisions are revalidated before stale mitigation proof weakens release-gate confidence.
Build a backlog burn-down tracker that ranks unresolved waiver renewals by decision risk and SLA exposure before release-window pressure escalates.
Build an exception debt interest model so unresolved waiver escalations accumulate explicit risk cost before future renewal windows.
Build a debt retirement forecast model so lane owners can predict when unresolved waiver debt returns to safe tolerance under realistic closure throughput.
Build a confidence calibration loop that measures forecast error and automatically tunes debt-retirement scenario bands from observed closure outcomes.
Build a deterministic stress-trigger model that auto-reweights conservative, base, and accelerated waiver-renewal scenarios when inflow shocks hit.
Build a deterministic ROI scoring matrix that ranks waiver-renewal interventions by expected stress-score reduction per unit effort.
Build a deterministic sequencing optimizer that schedules promoted waiver interventions against owner capacity, dependencies, and SLA deadlines.
Build a deterministic attribution model that measures which waiver interventions generated sustained stress-score and SLA-risk improvement after sequencing.
Build a deterministic portfolio rebalance allocator that shifts intervention capacity toward classes with the strongest validated sustained-impact outcomes.
Build a deterministic threshold retuning simulator that stress-tests intervention scoring and promotion thresholds before policy changes are approved.
Build a deterministic anomaly detector that flags governance drift when live intervention decisions deviate from approved threshold and allocation policy.
Build a deterministic corrective action pack generator that converts governance drift anomalies into owner-ready remediation plans with acceptance gates.
Build a closure reliability scorecard that tracks corrective packet turnaround, acceptance stability, and recurrence pressure by owner lane.
Map closure reliability bands and dominant failure modes to mandatory owner action sets so promotion decisions cannot proceed on narrative excuses alone.
Merge closure reliability, escalation playbook completion, corrective packet acceptance, and executive exceptions into one reviewer-facing promotion bundle.
Snapshot promotion decision packets into long-retention archives and bind exports to rollback and incident records when live behavior diverges from the promote verdict.
Replay scorecard, playbook, and promotion packet fields against bounded live telemetry slices after promote so silent divergence surfaces before incidents force a forensic rebuild.
Turn divergent and inconclusive decision replays into owned work: a triage queue with severity, SLA, explicit re-promote gates, and stable links to replay_row_id and promotion_packet_id.
Roll recurring divergence_class themes from triage into a causal factor register with monthly executive readouts so mitigation budgets track patterns instead of one-off tickets.
Cap how many active high-budget causal factors each owner lane may carry per quarter so Lesson 78 register growth cannot outrun real mitigation capacity.
Record time-bounded cap-unit transfers between owner lanes when Lesson 79 portfolio limits would block a regulated exception, with a borrow ledger and return rules that stay audit-safe.
Rank overdue and disputed cross-lane borrows with a single scorecard so leadership forces merge, return, or recall before the next monthly executive readout.
Turn borrow ledger resolutions from Lessons 80–81 into store-safe patch copy, in-game risk banners, and social stubs without leaking lane politics or contradicting the executive readout.
Align regional string freezes, certification clocks, and ratings submissions with Lesson 82 comms rows so one patch narrative does not outrun legal reality in any storefront.
Pair help-desk macros and first-party refund policy language with Lessons 82–83 comms and alignment rows so support never outruns legal reality when patches land on different regional clocks.
Wire support, finance, and release leadership into one bridge packet so regional ticket floods or chargeback spikes force an explicit governance state change when Lesson 78 still reads green.
Pipe finance dispute exports and support ticket tags into the Lesson 78 divergence register every day during borrow trains so executive readouts stop lagging the floor.
Compare your Lesson 78 slide deck to merged daily ingestion rows the night before publish so executive language cannot drift from causal reality.
Archive one borrow-train cycle by binding Lesson 87 reconciliation, final ingestion coverage, and Lesson 85 bridge posture into a signed closeout certificate before the next train opens.
Open a new borrow-train cycle by importing Lesson 88 baseline evidence, naming the first Lesson 86 ingestion window, capping concurrent borrows before Day 1, and proving cooldown exit before work restarts.
Run a seven-day drift discipline that compares Lesson 86 ingestion signals to Lesson 87 governance copy before the new train’s first executive readout—so interventions are evidence-backed, not narrative-backed.
Compress Lesson 90 daily drift rows into one signed escalation packet that exposes bad trends when every day looked green—so mid-train decisions ride on cumulative evidence, not vibes.
Rehearse mid-train escalation with a facilitator-enforced rule - every projected slide must trace to the signed days 8-14 rollup packet so stakeholders cannot swap in alternate narratives under pressure.
Ship player-facing and partner-facing escalation copy that footnotes the signed dry-run verdict, binds sentences to rollup packet fields, and refuses language that would have failed Lesson 92 deck gates.
Wire a publish-time gate that freezes Lesson 93 bundles when first-week ingestion totals, governance deck ids, or rollup lineage move between dry-run pass and send click.
When legal or leadership must ship during a hold, bind two signatures, narrow channels, attach a rollback template, and hash the override row before any API unlock.
After a Lesson 95 override send, prove the rollback bundle published on time, match storefront and CRM signals to hashes, and close the override with an all-clear or a renewed Lesson 94 freeze.
Ship a single tamper-evident quarterly bundle: dry-run rows, kill-switch holds, overrides, verification packets, signer rotation log, and an explicit no-silent-override attestation for regulators and boards.
Turn the quarterly attestation zip into a single board slide: risk-adjusted dollars, override counts, rollback SLA hit rate, open holds, and forward actions—scrubbed for directors.
Freeze trains, bump policy semver, migrate CSV columns, re-link evidence hashes from Lessons 92–98, and sign a migration packet before the next external send.
Close the fiscal year on escalation governance: seal attestation zips, verify migrations, sign closure hashes, and open the next policy year without breaking lineage from dry-run through schema bump.
Run two live titles on one governance stack without merging CSVs: product prefixes, pinned policy semver, joint Lesson 97 slice, and hard PII firewalls between trains.
Answer regulators and storefronts with a signed index: each question points to object-store paths, manifest hashes, and scope notes—never raw CSVs, tickets, or player rows in email.
Close the loop after regulators or platforms ask hard questions: one CAPA row with owner, due date, Lesson 96 verification proof, Lesson 102 inquiry id, and a signed closure hash.
Run a yearly red-team exercise: scripted pressure to bypass the kill-switch, smuggle Lesson 93 copy, and demand Lesson 95 overrides—scored with rubrics tied to real hashes, no prod sends.
Turn red-team weak scores into owned rows: tooling fixes, signed training attestations with hashes, and a calendar-bound micro-drill before the next board read.
Ship one turnover binder: lesson index, object-store URIs, signer roster handoffs, escalation on-call tree, and a first-week-in-seat drill checklist tied to real hashes.
Ship a single non-operational page for audit committee and external auditors: risk posture, open items, hash index, and where runbooks live—without pasting runbooks.
Create procedural world generation and design engaging level layouts for your AI-powered RPG game. Learn to build immersive worlds with AI assistance.
