A hands-on agentic AI program

Agentic AI

Make AI do real work.

60 hours30+ projectsBuilt by you

Space Code AcademyScroll down

30+ reasons

Reasons to say:“I built that.”

  1. 01ConnectSystems exchanging data
  2. 02RetrieveAnswers linked to sources
  3. 03DeliverUsable agent applications

Your everyday work. A practical starting point.

Bring a task you understand. Explore how connected tools and useful AI can turn it into a build you can test and explain.

A practical project in every session.

At least 30 projects across the program. The mix evolves with each group's backgrounds, experience and learning needs.

Project scope varies. Not every build is a standalone deployed application.

60hours of
making.

Learn. Build. Review. Repeat.

Connect automation, retrieval, agents and deployment in one practical journey. Each session adds working capability you can understand, test and demonstrate.

Arabic explanation. English materials.

Your destination / In everyday terms

What you will beable to do.

Start with a familiar business task. Learn to build a focused solution, check its results and explain how it works.

  1. 01

    Move repetitive work between apps

    Build a flow that captures an enquiry, creates a record and prepares the next follow-up.

  2. 02

    Find answers in your own documents

    Build an assistant that retrieves relevant information and shows the sources behind its answer.

  3. 03

    Turn messy input into usable output

    Extract fields or summarize a document, then check the result before someone relies on it.

  4. 04

    Give someone a useful way to use it

    Create a simple interface or shareable result and demonstrate a complete, tested user journey.

A practical starting point. The goal is working, scoped prototypes and informed judgement. You will also learn where a solution needs more testing, specialist input or operational support.
01 / Groundwork

Make the connection.

APIs & webhooks

Let one app send information to another, without copying it by hand.

  • Read a request and response; understand the main data fields.
  • Connect an account using a key or sign-in permission.
  • Trigger a workflow when a form or another system sends an event.
  • Recognize failed requests and check what needs fixing.
Practical outcome

A new enquiry arrives in one place and becomes a structured record in another.

02 / Automation

Turn repeat work into a workflow.

Use visual steps to move a task from an incoming event to a useful result.

Make

Connect services using a visual workflow editor.

  • Start from a form, schedule or incoming event.
  • Map fields between apps and add filters or routes.
  • Process lists of records and handle failed steps.
  • Inspect each run and improve the workflow.
You can build

A follow-up flow that captures an enquiry, routes it and prepares the next action.

n8n

Build flexible workflows with self-hosting options.

  • Connect apps and combine multiple processing steps.
  • Transform data; add small code steps with guidance.
  • Insert an AI step when a task needs language understanding.
  • Compare hosted and self-hosted setup choices.
You can build

A document intake flow that extracts information, checks it and routes exceptions.

03 / Intelligence

Answers grounded in your documents.

Vector databases

Find relevant information by meaning, not only exact words.

  • Split documents into useful pieces.
  • Create searchable representations called embeddings.
  • Use labels and filters to narrow the search.
You can build

A searchable knowledge collection that finds passages related to a question.

RAG

Give the model relevant source material before it answers.

  • Connect document search to answer generation.
  • Return sources a person can check.
  • Test answers and identify missing or weak evidence.
You can build

A document assistant that answers with sources and flags questions that need review.

Choose where your assistant runs.

Ollama

Run a suitable AI model on your own machine or server.

  • Choose a model that fits the available hardware.
  • Call the local model from a workflow.
  • Compare speed, quality and infrastructure needs.
You can build

A local AI step that summarizes or extracts information from a sample document.

Dify

Turn prompts and knowledge into an assistant people can use.

  • Configure instructions and knowledge sources.
  • Build a visual assistant workflow.
  • Review conversation logs and improve weak answers.
You can build

A usable assistant interface with instructions, knowledge and a testable workflow.

04 / Agents

Give the goal. Guide the execution.

Claude & Claude Code

Work with an AI coding assistant.

  • Describe a change clearly and review the proposed work.
  • Read files, make guided changes and run checks.
  • Break a larger task into bounded pieces.
You can produce

A small feature or workflow helper you can test and explain.

MCP

Give an agent controlled access to useful tools.

  • Connect a file, data source or approved business tool.
  • Understand what each tool can read or change.
  • Build a simple connection and scope its permissions.
You can produce

An assistant that retrieves information or calls an approved action.

Super agents

Supervise a multi-step task from an objective.

  • Define the goal, inputs and expected output.
  • Add checkpoints and recognize when to stop.
  • Review results before using or sharing them.
You can produce

A supervised task that produces a reviewable research or work summary.

05 / Ship it

Make something someone else can use.

Lovable

Build and refine an application interface from a clear brief.

  • Describe the user, task and required screens.
  • Connect the interface to your workflow or API.
  • Test the user journey and review exported code.
You can build

A front end where a colleague can submit a request and see the result.

Vercel

Publish a suitable application and manage its configuration.

  • Deploy a project and open its preview link.
  • Set environment variables without exposing secrets.
  • Understand domains, HTTPS and deployment checks.
You can build

A working application link you can share, test and demonstrate.

The session experience

Try it.Build it.Break it.Improve it.

Every session includes a practical project.

See the concept. Build with it. Inspect the result. Debug what fails and carry the learning into the next layer.

60 hours. Time follows the group's learning needs.

Roadmaps / Start without a technical background

From a manual taskto a working solution.

One common core, different starting points. These milestones describe the learning journey, not separate programs or fixed weekly schedules.

  1. 01

    Map the task

    Choose a repetitive job, identify its inputs and define what a successful result looks like.

  2. 02

    Connect the steps

    Move information between apps and build a rule-based workflow.

  3. 03

    Add useful AI

    Use documents, summaries or extraction where language understanding helps.

  4. 04

    Check and control

    Test examples, inspect failures and decide when a person must approve the next action.

  5. 05

    Make it usable

    Add a simple interface or shareable output and demonstrate the complete flow.

Where this takes you. You can turn a clearly scoped business task into a working prototype, test it, explain its limits and identify where specialist help is needed.

Roadmaps / Bring your starting point

Same foundations. A goal that fits you.

Start with

A process you understand

  1. Request
  2. workflow
  3. AI step
  4. review

Demonstrate a repeatable process with clear exception handling.

Your group helps shape the examples and project scope. No previous advanced programming experience is required; guided technical practice is part of the journey.

Built by you. Shaped by your group.

  1. IntegrationRequest / response
  2. RetrievalAnswer / sources
  3. AutomationTrigger / action
  4. ApplicationInterface / workflow

Illustrative build directions. Projects vary by group. Connect, retrieve, automate and build. The exact projects reflect participants' backgrounds and learning needs.

Projects / Example build menu

Small builds.Useful outcomes.

30+ projects across the program, with a practical project in every session. The 15 examples below are a selection from the possible builds; the final mix varies by group.

  1. 01

    Enquiry capture

    Turn a submitted form into a clean record ready for follow-up.

  2. 02

    Request routing

    Send each request to the appropriate team using clear rules.

  3. 03

    Follow-up preparation

    Create the next reminder or draft response from an incoming enquiry.

  4. 04

    Meeting brief

    Turn notes into a structured summary and an action list for review.

  5. 05

    Document extraction

    Pull selected fields from a sample document into structured output.

  6. 06

    Document search

    Find relevant passages from a small approved knowledge collection.

  7. 07

    Source-linked answers

    Answer questions using selected documents and show the sources.

  8. 08

    Answer quality checks

    Test a document assistant and record where answers need improvement.

From AI step to application. Build something you can demonstrate.

Each example is defined by a visible result. Projects vary in size; these are not promises of 30 full applications or coverage of every industry.

  1. 09

    Local document summary

    Run a suitable model on available hardware and inspect its summary.

  2. 10

    Knowledge assistant interface

    Create a simple place for a user to ask and receive grounded answers.

  3. 11

    Tool-connected assistant

    Let an agent retrieve information through a scoped tool connection.

  4. 12

    Approval checkpoint

    Pause before an important action so a person can review the result.

  5. 13

    Guided research task

    Produce a source-backed work summary and check it before use.

  6. 14

    Request portal

    Give a colleague a simple interface to submit a request to a workflow.

  7. 15

    Published application demo

    Deploy a suitable build and demonstrate the full user journey.

What you can show at the end. Your own builds, example inputs and outputs, and a clear explanation of the problem solved, the checks performed and the remaining limits.

Market applications

Where agentic AIcan help at work.

Examples of where agentic AI can help at work. These are market use cases, not a list of course modules or guaranteed projects.

  1. 01Insurance

    Find a policy clause and draft a reply with its source.

  2. 02Banking operations

    Check a submitted file for missing documents before staff review.

  3. 03Accounting & finance

    Extract invoice details and flag mismatches for the accountant.

  4. 04Healthcare administration

    Prepare appointment reminders and organize booking requests.

  5. 05E-commerce & retail

    Answer product questions and retrieve order updates.

  6. 06Real estate

    Match an enquiry to suitable listings and prepare a follow-up.

  7. 07Sales & business development

    Turn a new lead into a CRM record and a follow-up draft.

The examples illustrate possibilities. Real use depends on suitable data, permissions and human review.

Illustrative applications

Input. Flow. Output. Review.

Customer-facing teams

Finance & purchasing

Support & operations

Customer-facing teams · Less searching. Clearer follow-up.

The useful question is simple: where does your team keep copying information, searching for answers or preparing the same response?

01 A new enquiry, ready for the sales team

  1. Input

    A website form with a name, contact details and a product question.

  2. Flow

    Capture the enquiry, check required fields, create a CRM record and prepare a reply draft. Route incomplete requests for review.

  3. Output

    One organised lead record with an owner and a suggested next step.

  4. Review

    A salesperson checks the details and approves the message before sending.

Less retyping between the enquiry form and the sales system.

APIs & webhooksMake or n8n

Illustrative business uses, not additional modules or promised course projects. Actual use needs suitable data, permissions, testing and human review.

Bring your worldto the build.

  • Developers & IT teams

    Add agents, retrieval and automation to your existing systems.

  • Founders & business owners

    Prototype useful systems and turn problems into technical briefs.

  • Freelancers & agencies

    Create practical work you can demonstrate and adapt.

  • Operations, marketing & finance

    Turn your process knowledge into connected workflows.

Good questions.Clear answers.

01What language is used?

Arabic explanation. English materials and technical terminology.

02Do I need advanced coding skills?

No. Visual tools provide an entry point; coding topics are introduced with guidance.

03How many projects?

At least 30, with a project in every session. The Projects section shows examples; the mix varies by group and not every build is deployed.

04Are all market sectors covered in projects?

No. Industry examples show workplace applications, not promised curriculum deliverables.

05What do I need?

A laptop you can install software on, a stable connection and relevant platform accounts. Some usage or hardware may involve extra cost.

06Is there a certificate?

The program includes a Space Code Academy completion certificate.

Your next move?

Build it.

Bring a real task from your working day. Explore how to turn it into a focused, testable build.

60training hours
30+practical projects

What would you like to build first?

A smarter enquiry flow? An assistant for your documents? A useful internal tool?

Join the next AGENTIC group.

Ask Space Code Academy about the next start date, fees and registration.

Maadi, Cairo / 60 hours / 30+ projects

Ready to grow your brand into a legacy?
Lets make something
Great together