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AI Foundations Through Projects ⚡

Start with Project 1 — Free

A project-first introduction to practical AI engineering. You will design system prompts, enforce structured outputs, ground assistants with retrieval and tools, and benchmark the results before shipping.

Projects🗂 4
Estimated Time⏱ 30–43 hours
Format⚡ Project-Based & Hands-on

Track Roadmap

Work through each project in sequence to complete the track and build a portfolio-ready deliverable.

01

Build an AI Research Assistant

Beginner10–15 hours
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Design, prompt, tool-enable, and benchmark a production-ready AI research assistant.

OpenAI GPT-4oPrompt EngineeringStructured JSONTool Use & MCP
Milestones (8)
  1. 01
    Define the Assistant Persona & Scope

    Define domain boundaries, tone, role, and audience for the research assistant.

  2. 02
    Prompt Foundations & Constraints

    Transform generic queries into structured, constraint-enforced system prompts.

  3. 03
    Structured Outputs (JSON Schema)

    Enforce rigid JSON outputs for seamless downstream software integration.

  4. 04
    Information Retrieval & Synthesis

    Design fact extraction pipelines that synthesize multiple technical sources.

  5. 05
    Tool Use & Function Calling Basics

    Enable the assistant to query external APIs and calculation tools.

  6. 06
    Model Context Protocol (MCP) Simulation

    Integrate MCP servers for structured context injection.

  7. 07
    Evaluation, Guardrails & Benchmarking

    Implement automated safety filters, hallucination checks, and benchmark test suites.

  8. 08
    Final Capstone Showcase & Mentor ReviewMentor Review

    Bundle all deliverables and submit for human mentor evaluation and certification.

02

Build an AI Content Workflow

Beginner8–12 hours
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Construct an end-to-end multi-step AI editorial calendar and blog generation pipeline.

Prompt ChainingMarkdownStyle Guides
03

Build an AI Customer Support Bot

Beginner12–16 hours
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Build an AI support agent with strict tone guardrails, escalation policies, and FAQ retrieval.

GuardrailsFAQ EmbeddingsEscalation Logic
04

Build a Custom Prompt Library

Beginner4–5 hours
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Create a production-ready prompt management system with variables, personas, examples, and evaluation criteria.

Prompt EngineeringJSON SchemasEvaluation