01
Curated roadmap
What to learn first, what to postpone, and which materials fit business, builder and engineering goals.
AI IMPLEMENTATION NAVIGATOR
From AI basics to RAG, agents and production — in the right order
A curated learning and implementation system for people who do not want 100 random bookmarks. You get three learning tracks, a 9-module roadmap, original implementation templates, practical assignments and a verified catalogue of external resources.
WHAT YOU BUY
The external courses stay external. You pay for the system around them
02
Implementation workbook
Use-case scoring, prompt canvas, RAG canvas, agent design, evaluation scorecard, security checklist, pilot plan and ROI framework.
03
Bilingual package
Russian and English Navigator editions plus an editable implementation workbook for practical use.
The public page intentionally shows a preview rather than the direct source catalogue. The verified source links, licence notes and recommended order are delivered inside the paid package after payment confirmation.
CHOOSE YOUR DEPTH
One Navigator, three routes
01
Business / no-code
4-week recommended path
AI literacy, prompting, workflow design, use-case selection, governance and pilot planning. Coding is optional.
02
Builder
8-week recommended path
APIs, RAG, tools, agent patterns, LangGraph, evaluations and two working prototypes. Basic Python or TypeScript helps.
03
Engineer
12+ week deep path
Transformers, datasets, fine-tuning, reasoning models, observability, deployment and production agent architecture.
THE ROADMAP
9 modules from understanding to implementation
01
AI foundations
LLMs, model selection, responsible AI, tokens/context and business value.
02
Prompt & context engineering
Repeatable prompt structures, context design, structured outputs and evaluation criteria.
03
APIs, tools & workflows
Build predictable workflows that call models, tools and APIs.
04
RAG & business knowledge
Retrieval, chunking, embeddings, grounding, citations, permissions and freshness.
05
AI agents
Tool use, memory, planning, human approval and agent-vs-workflow decisions.
06
Build real projects
Support, research, operations and internal productivity prototypes.
07
Evaluation & observability
Datasets, tracing, regressions, quality and production monitoring.
08
Production & deployment
Security, permissions, cost control, deployment, fallback and change management.
09
Business implementation
Use-case scoring, ROI, ownership, pilot criteria and operating rollout.
ORIGINAL TOOLS INCLUDED
Turn learning into an implementation plan
A
AI Use-Case Scorecard
Score impact, frequency, data readiness, risk, integration effort and time-to-value before you build.
B
Prompt & Context Canvas
Define role, task, context, constraints, tools, output schema and evaluation criteria.
C
RAG Design Canvas
Map source data, ingestion, chunking, retrieval, grounding, permissions and freshness.
D
Agent Design Canvas
Goal, tools, memory, permissions, human approval, failure states, budget and stop conditions.
E
Evaluation Scorecard
Quality, groundedness, task completion, latency, cost, safety and regression checks.
F
Pilot → Production Checklist
Owner, scope, baseline, launch criteria, access controls, monitoring, fallback and rollout plan.
RESOURCE CATALOGUE PREVIEW
You can see the structure before buying — not the paid navigation map
FOUNDATIONS
Microsoft, Google and OpenAI learning paths
A selected foundation layer for AI literacy, model concepts and practical adoption.
Direct verified links and sequence are inside the delivered Navigator.LLM & PROMPTING
Hugging Face, Anthropic and prompt-engineering references
A progression from prompting and APIs into datasets, Transformers and model behaviour.
Direct verified links and sequence are inside the delivered Navigator.RAG & AGENTS
Agent, LangGraph and open-source implementation references
Practical examples for retrieval, tools, state, memory and human-in-the-loop workflows.
Direct verified links and sequence are inside the delivered Navigator.PRODUCTION
Evaluation, tracing and production-readiness resources
A final layer for quality checks, monitoring, deployment and operational safeguards.
Direct verified links and sequence are inside the delivered Navigator.DELIVERABLE
What arrives after payment
$39
- AI Implementation Navigator — Russian edition
- AI Implementation Navigator — English edition
- Editable AI Implementation Workbook — RU/EN
- Three study tracks: Business / Builder / Engineer
- Original assignments and implementation templates
- Verified source catalogue with direct links and licence notes
- Version date showing when the external catalogue was last reviewed
IMPORTANT
Transparent boundaries
Is this an original video course?
No. It is a paid learning-and-implementation Navigator built around original curation, sequencing, explanations, exercises and templates, with a verified map of external courses and repositories.
Do I need to know how to code?
No for the Business route. The Builder and Engineer routes increasingly use Python, TypeScript, APIs and developer tooling.
Are external courses guaranteed to remain free forever?
No. External owners can change pricing, access rules, content, licences or URLs. The package records a verification date so the catalogue can be maintained.
Can I use third-party repository code commercially?
That depends on each repository's current licence and your intended use. The Navigator does not grant third-party rights; the delivered catalogue includes licence notes to help you check each source.