Technical Sales / AI Solutions Architecture — Execution Plan

Google Gen AI Leader + PMLE · LangChain/Vector DB/Databricks GenAI · MEDDPICC · Portfolio & Applications

Complete

Hours Logged

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Tasks Done

How this plan is built

20 hrs/week, ~24 weeks total, broken down day-by-day (like Week 0) for every single week. Everything you check on the Timeline tab rolls up into the readout above.

● Kickstart — Week 0 ● Phase 1 — Gen AI Leader + MEDDPICC — Wk 1–3 ● Phase 2 — Google PMLE — Wk 4–11 ● Phase 3 — LangChain / Vector DB / Databricks GenAI — Wk 12–18 ● Phase 4 — Portfolio + Applications — Wk 19–24

Target roles

SE Manager or Principal Solutions Architect, AI/ML-focused, modern application layer (not just infra).

Primary targets: Microsoft (Cloud Solution Architect / Technical Specialist), Google (Customer Engineer), Anthropic. Secondary: NVIDIA, Databricks, Snowflake, MongoDB.

The four credentials

1. Google Cloud Generative AI Leader — $99, 90 min
2. Google Cloud Professional ML Engineer — $200, 120 min
3. Databricks Certified Generative AI Engineer Associate — $200, 90 min
4. MEDDPICC Certification — $297, self-paced + interview

Kickstart — Week 0 7 DAYS

Before Phase 1 officially starts, get every account, tool, and habit set up so weeks 1–24 run without friction.

24-Week Timeline

Every week is broken into Day 1–7, same format as the Kickstart. Click a week to expand it. Check tasks as you complete them — progress bars and the header readout update live.

Portfolio Projects — build with Claude Code

Three projects, ordered by build sequence. Each includes a stack, a copy-ready Claude Code starter prompt, and a definition of done you can demo live in interviews.

Skills to add to LinkedIn / resume

Check these off as you genuinely have hands-on evidence for them (a project, a cert, or real work). Organized by category.

Master kickoff prompt

Paste this into Claude Code the first time you sit down to build. It sets context for every project in this plan.