AI Skillset Course
Smart Workflow
From AI Curious to AI Expert - Step by Step

A tactical, phase-by-phase roadmap for building real AI competency. Pick up anywhere. Skip what you know. Go deep on what matters.

Effective
Phases
Full Range
Skill Areas
Real-Life
Applications
Phases

The 5-Phase AI Mastery Path

Not everyone starts at zero. Enter at your current level and build from there.

01
Foundation

Understand AI

  • Learn what LLMs, diffusion models, and agents actually do
  • Compare the model landscape - GPT-4, Claude, Gemini, Llama
  • Understand hallucinations, context limits, and expectations
02
Skills

Master Interaction

  • Prompt engineering, chain-of-thought, and system prompts
  • Tool-use patterns, format constraints, and tone control
  • Systematic evaluation and iteration workflows
03
Systems

Scale Integration

  • Move from single prompts to automated workflows
  • Integrate AI into your tools, processes, and team
  • Build RAG pipelines and multi-step AI agents
04
Application

Embed & Situate

  • Apply AI to your domain - marketing, code, legal, finance
  • Context is everything - go deep on your niche
  • Build domain-specific workflows and templates
05
Mastery

Excel & Grow

  • Measure ROI and make the business case for AI
  • Lead AI adoption initiatives in your organization
  • Stay current as new models ship monthly
Phase 1

Understand AI From the Inside Out

How LLMs Work

Transformers, tokens, attention, RLHF - demystified without a PhD.

Model Landscape

GPT-4, Claude, Gemini, Llama - when to use which and why.

AI Limitations

Hallucinations, cut-off dates, context limits - build with realistic expectations.

Safety & Ethics

Bias, alignment, and responsible use - know the boundaries before you build.

The AI Ecosystem

Open-source vs. closed, cloud vs. edge, APIs vs. fine-tuning - map the full landscape so you pick the right tools for every job.

Phase 2

The 4-Part Prompt Engineering Framework

Role + Task

Set context with a clear role and task statement. This alone improves output quality by 40%.

Format + Constraints

Tell the model exactly how to respond: JSON, bullets, max length, tone.

Examples (Few-Shot)

Add 2-3 examples of what good looks like. Models learn fast from patterns.

Evaluate + Iterate

Build an eval harness. Measure, version your prompts, and improve systematically.

Phase 3

Scale Your AI Integration

No-Code Automation

Zapier AI, Make.com, and n8n workflows that run AI at scale.

API Integration

Call OpenAI, Anthropic, or open-source APIs from your own tools.

RAG Pipelines

Connect AI to your own data with retrieval-augmented generation.

Agent Orchestration

Multi-step AI agents that reason and take actions autonomously.

Phase 4

Embed AI in Your Domain

Go Niche. Go Deep.

Domain-Specific AI Training

The biggest leverage comes from applying AI within a specific vertical - marketing copy, legal research, financial modelling, code review, or customer support. Context is everything.

Find Domain Courses

Your Domain AI Journey

Identify Your Vertical

Marketing, legal, finance, code, healthcare - pick your niche.

Find Niche Courses

Use the wizard to discover domain-specific AI training.

Build Templates

Create AI workflows tailored to your industry problems.

Ship Results

Apply learning directly - real outcomes, real impact.

Phase 5

Excel & Grow Your AI Career

Track AI ROI

Measure time saved, quality improvements, and revenue impact. Make the business case.

Lead AI Adoption

Run workshops, document learnings, and bring your team along.

Stay Current

New models ship monthly. Build a system to evaluate and adopt the best.

Build AI Culture

Foster team-wide AI literacy and create an environment where everyone experiments and innovates.

Know Your Phase. Build Your Stack.

Use the course wizard to get a personalised plan for exactly where you are.