- What This Course Is About
- Who Should Enroll
- Course Outline
- Prerequsites
- How To Join The Zoomcamp
- Meet Your Instructor
- Quick Links & Resources
- You will master Reflection, a design pattern that powers agentic AI systems
- Software Engineers: Developers who want to apply AI techniques to build autonomous systems that handle multi-step workflows.
- Professionals: Professionals with intermediate-level Python programming skills to be able to follow along with the implementations.
- Practitioners: Professionals with a basic understanding of large language models and APIs who want to deepen their practical skills.
- ✅ 1.Explore gradient based algorithm and its variants
- ✅ 2.Develop a neural network.
- ✅ 1.Learn CNN.
- ✅ 2.RNN
- ✅ 1.Non-Transformer - Word2Vec.
- ✅ 2.Non-Transformers - Seq2Seq
- ✅ 3.Transformers
- Functional knowledge fo Python, data structures and LLMs
- Comfort with command line basics
Deep Learning Zoomcamp 2026 - Free Course on the foundations spawning the field of deep learning
Go from LLM basics to a production-ready AI assistant in 10 weeks
Learn Retrieval-Augmented Generation, vector search, embeddings, AI agents, function calling, evaluation, monitoring, hybrid search, reranking, and more - all in a free, open-source, hands-on course by Aivarta Consulting.
Table of Contents
About Deep Learning Zoomcamp
Deep Learning is the engine behind all the Generative AI advances that we see around us today.
This course will unpack deep learning, developing its building blocks from scratch. You will learn the basics of deep neural networks -
layers and activations - and how to set up and train them. You will learn about special purpose networks in the field of computer vision
to process images and videos (convolutional networks) and networks in the field of natural language processing to process text and sequences.
YOu will also learn to write Python programs (using TensorFlow and Keras libraries) to create deep learning models and train them on real-world datasets.
👥 Who Should Join?
This course is for people who learn by doing. After completing it, you'll have a working codebase and the hands-on experience to build your own LLM-powered applications.
Course Outline
| Module | Description |
|---|---|
| Module 1: Foundations of Deep Learning. | |
| Module 2: Neural Architecture For Vision. | |
| Module 3: Natural Language Processing | |
| Module 4: Measuring the Value of Agentic AI | Develop the value proposition and measurement strategies to quantify the business impact of agentic AI systems. |
| Module 5: AI Governance and Security | Understand how to ensure agentic AI systems operate within legal, regulatory, and security boundaries while building trust and mitigating risk. |
Prerequisites
You'll need:
Technical setup: For machine learning modules, you only need a laptop with an internet connection. For deep learning sections, we'll use cloud resources for more intensive computations.
How to Join
You can join ML Zoomcamp either by following a live cohort or learning at your own pace.
All materials are freely available in this repository. Each module has its own folder directory. Lectures are pre-recorded and available in this YouTube playlist.
Meet Your Instructor
Anannya Dev Sadhnani empowers teams to ...
She turns complex strategies into clear, actionable playbooks - making her the perfect guide for your 90 day roadmap.
If your next AI project depends on scalable an reliable, this webinar is your blueprint to success.
Additional Resources
ResourcesSyllabus Overview
The course consists of structured modules, hands-on workshops, and a final project to reinforce your learning. The topics are curated based on key responsibilities within the data engineering capability centre.
