Skip to content

AI & Software Engineering Education

Build the skills companies actually hire for.

Live, practical programs in AI, software engineering, data and modern development — designed around real projects, expert instruction and career-ready skills.

Explore CoursesTalk to an Advisor

Our alumni work at leading tech brands

  • Google
  • Microsoft
  • Meta
  • Amazon Web Services
  • Netflix
  • Spotify

Why Algointelligenz

A serious place to learn technical work.

Live instruction
Sessions are taught live by an instructor, not pre-recorded playlists. Questions are answered in the session.
Project-based learning
Every module ends in something you build and can show, not a quiz score.
Industry-focused curriculum
Curriculum is scoped to the tools and workflows used in current engineering teams.
Career support
Portfolio review, resume guidance and interview practice. No placement guarantee.

What we teach

Five disciplines, taught deliberately

We keep the catalogue narrow so each subject can be taught properly. Every area below is covered by a live, project-based program.

  • AI & Machine Learning

    Model fundamentals, training and evaluation — taught as engineering practice rather than theory alone.

  • Generative AI

    Prompting, retrieval over your own documents, and shipping LLM features that hold up outside a demo.

  • Agentic AI

    Tool use, control and guardrails: giving a model actions to take, and deciding what it may not do.

  • Software Engineering

    Full-stack development, APIs, testing and deployment — the workflow around the code, not just syntax.

  • Data & Analytics

    Pipelines, modelling and analysis, from raw sources through to something a team can actually query.

Programs

Launch Your Tech Career

Choose from industry-relevant technical programs in AI, engineering and data. Every program is taught live, structured module by module, and built around work you can show an employer.

View All Courses

4.8(120 reviews)

Prompt Engineering

Learn to write clear, structured, and reliable prompts for LLMs and apply them inside Excel.

Duration
4 weeks
Modules
2 modules

Course Fee: ₹3,999

Explore syllabus

4.9(90 reviews)

LLM Engineering

Learn MLOps fundamentals and build production-ready applications using local open-source LLMs.

Duration
6 weeks
Modules
2 modules

Course Fee: ₹6,999

Explore syllabus

4.8(95 reviews)

Data Analysis

Learn Python, NumPy, Pandas, Matplotlib, Seaborn, and exploratory data analysis from scratch.

Duration
8 weeks
Modules
10 modules

Course Fee: ₹4,200

Explore syllabus

4.9(84 reviews)

Applied AI Architecture

Design enterprise AI systems: strategy, RAG, deployment, cloud infrastructure, governance, and FinOps.

Duration
10 weeks
Modules
6 modules

Course Fee: ₹9,999

Explore syllabus

Learn → Practice → Build → Grow

How learning works at Algointelligenz

The same four-stage structure runs through every program, every week. Nothing is left to self-study alone.

  1. Learn

    Instructor-led sessions that work through concepts with live code, not slides read aloud.

  2. Practice

    Guided exercises after each session, with written feedback on your implementation.

  3. Build

    Module projects that combine what you learned into something that actually runs.

  4. Prepare

    Portfolio review, resume guidance and technical interview practice at the end of the program.

What you will build

Learn by building.

These are the actual projects inside our programs. Each one produces working software you can run, explain and show — not a certificate of attendance.

  • Prompt Engineering

    Personal prompt library

    A curated, reusable set of prompts for everyday professional and personal tasks, with usage notes.

    • Structured prompts
    • Prompt templates

    You can hand your prompts to a colleague and get consistent results.

  • Prompt Engineering

    Excel AI automation playbook

    A set of AI-assisted Excel workflows for cleaning data, summarising reports and classifying text.

    • Microsoft Excel
    • Copilot for Excel

    You can automate repetitive spreadsheet tasks using natural language.

  • Large Language Models (LLMs)

    Automated email triage workflow

    A Power Automate flow that classifies incoming emails, routes them to the right owner and triggers notifications.

    • Power Automate
    • AI Builder
    • Outlook

    You can automate a real business process without writing code.

  • Large Language Models (LLMs)

    Business agent deployment

    A Copilot Studio agent connected to a knowledge source and deployed to a Teams channel.

    • Copilot Studio
    • SharePoint
    • Teams

    You can deploy a working agent that answers questions from your own data.

  • Applied AI & ML with Python

    End-to-end ML classifier

    A complete scikit-learn pipeline from raw data through preprocessing, model selection, and evaluation.

    • pandas
    • scikit-learn

    You can build and justify a production-ready ML workflow.

  • Applied AI & ML with Python

    Deep learning application

    A neural-network project spanning NLP, vision, or sequence modeling with trained and validated models.

    • PyTorch
    • TensorFlow
    • Hugging Face

    You can train, tune, and evaluate a deep learning model on real data.

About the academy

Who is Algointelligenz?

An education academy for AI, software engineering and data — deliberately narrow in scope, and explicit about what each program does and does not include.

What we do

We run a small number of technical programs in AI engineering, full-stack development, data engineering and programming fundamentals. Each one is taught live over 8 to 16 weeks and ends in a capstone project.

Who it is for

Working professionals moving deeper into engineering, and career changers who need a structured path rather than a playlist of tutorials. Prerequisites are stated plainly on every course page.

Why we exist

Most online courses stop at explanation. Employers hire on demonstrated work. Our programs are built so that every module produces something running that you can show and defend.

How we are different

Small live cohorts, written feedback on submitted work, and no claims we cannot substantiate. We publish what a program includes, what it costs and what it does not promise.

What you should realistically expect: a solid working portfolio, applied technical skill in the program's subject area, and preparation for technical interviews. Not a guaranteed job, a salary figure or an accredited qualification — we do not sell those and we do not imply them.

Career support

Career support, described precisely

Career support means these specific services, delivered by instructors during and after the program. It does not mean a guaranteed job.

  • Resume and CV review with written feedback
  • Portfolio and GitHub review before you apply
  • Technical interview preparation sessions
  • Mock interviews with an instructor
  • Job search strategy and role targeting

We do not publish placement rates or salary figures. Any outcome statistic we publish in future will include the cohort size, the time period and how the metric is defined.

Certificate of Completion

  • Issued after you complete every module and submit the capstone project.
  • Confirms attendance and completed project work — it is not an accredited qualification.
  • Includes a verification link so an employer can confirm it was issued by us.
  • We do not claim external accreditation or industry recognition for it.

FAQ

Questions people ask before enrolling

If something you need to know is missing here, ask an advisor and we will answer it directly.

Ready to build your next skill?

Speak with an advisor and find the learning path that matches your current skills, goals and experience. If none of our programs fit, we will tell you that too.

Explore CoursesTalk to an Advisor