pulsestackintelligence.ai

PSI – Combined Curriculum Document

From Learning → Building → Hiring Success

PHASE A — Exclusive AI Tools & AI-SDLC Training (Month 1 & 2)

MONTH 1 — AI Tools + AI-Assisted Coding Foundations

A structured, mentor-led program to build real skills in AI SDLC, Infra Automation, and GeoSpace—designed by industry practitioners.

Topics Covered:

  • Python Fast-Track + Logical Thinking Reinforcement

  • Linux & CLI workflows with AI guidance

  • Git & GitHub collaboration with AI-generated commit summaries

  • AI Coding Assistants (Cursor / Copilot / Codeium):

    • Code scaffolding & boilerplate generation

    • Debug explanation & solution direction

    • Refactoring + optimization rewriting

  • Engineering Prompt Patterns:
    Explain → Diagnose → Improve → Justify

Outcome:

Students begin working as AI-Augmented Developers, not code typists.

MONTH 2 — AI SDLC + Problem-to-Solution Thinking

Goal: Understand how full AI systems are designed, iterated, and justified.

Topics Covered:

  • AI SDLC Workflow:
    Problem → Data → Model → Evaluation → Deployment

  • AI-assisted EDA Narratives & Feature Insight Interpretation

  • Model comparison reasoning + evaluation trade-off reports

  • Error analysis → metric storytelling → improvement roadmap

  • System Design Documentation:

  • Change logs

  • Decision justification notes

  • Architecture explanation prompts

Outcome:

Students gain technical explanation confidence — essential in real engineering teams and interviews.

PHASE B — Core ML + Infra + Applied Engineering (Month 3–5)

MONTH 3 — AI SDLC & Infra Automation Basics

  • Workflow automation using Shell + Python

  • Logging & monitoring fundamentals

  • Incident → pattern → response analysis mapping

MONTH 4 — Applied Infrastructure Intelligence Project

  • Log Severity Classification Model

  • Mini Observability Dashboard

  • AI-assisted technical documentation + peer code reviews

MONTH 5 — Comprehensive Testing Cycle

  • Test planning & case scenario preparation

  • Integration + performance validation

  • Deployment stability & readiness check

PHASE C — Premium Track Extension (Month 6)

(Applicable for Premium Program Students)

MONTH 6 — Deployment & Placement Preparation

  • Containerized deployment (local → cloud / VM)

  • Resume & LinkedIn narrative positioning

  • Mock interviews (recorded + graded scoring rubric)

BONUS TRACK — Advanced AI & Observability Workshops

  • RAG + Vector Databases (Qdrant / FAISS)

  • Multi-agent workflows & orchestration frameworks

  • Observability dashboards + performance debugging practice

Disclaimer

This curriculum outline is provided for general guidance. Actual training content, project depth, sequencing, and delivery pacing may be modified by PSI faculty based on learner readiness and current industry requirements.

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