ARKONE
Courses

Course Catalogue

ArkOne courses are built by practitioners and require network membership. External courses are curated recommendations with no gate.

Format
Level

ArkOne

ArkOneadvancedEarns certificationMembers only

Deploying Agents at Scale

Build agents that work in production. Covers orchestration patterns, reliability engineering, observability, and cost control — from real deployments, not toy examples.

4 modules5h
ArkOneadvancedEarns certificationMembers only

Eval Frameworks for LLMs

Stop guessing whether your LLM pipeline is getting better. This course covers practical eval methods — from LLM-as-judge to behavioural testing — that work without labelled ground truth.

3 modules4h
ArkOneadvancedEarns certificationMembers only

RAG in Production

A practitioner's guide to building retrieval-augmented systems that hold up in production — not just demos. Covers chunking, embedding selection, retrieval evaluation, and serving at scale.

4 modules6h

Curated External

deeplearning.aiadvanced

AI Agents in LangGraph

Build agentic AI workflows using LangChain's LangGraph and Tavily's agentic search. Learn directly from LangChain and Tavily founders.

~4h
Hugging Facefoundational

Introduction · Hugging Face

The official Hugging Face NLP course — transformers, tokenizers, fine-tuning, and the full 🤗 ecosystem. Best starting point if you're new to working with pre-trained models.

~8h
deeplearning.aiadvanced

LLMOps

Learn LLMOps best practices as you design and automate the steps to tune an LLM for a specific task and deploy it as a callable API.

~2h
deeplearning.aifoundational

Large Language Models with Semantic Search

Learn to use LLMs to enhance search and summarize results. Boost keyword search with Cohere Rerank and leverage embeddings for powerful NLP.

~3h
Courserafoundational

Machine Learning

Andrew Ng's updated ML Specialization — supervised learning, unsupervised learning, and reinforcement learning. The most thorough foundational ML curriculum available, with a free audit option.

~90h
Andrej Karpathyfoundational

Neural Networks: Zero To Hero

Andrej Karpathy's lecture series building neural networks from scratch in Python — starting with backprop, ending with GPT. The clearest bottom-up explanation of how transformers actually work.

~15h
fast.aifoundational

Practical Deep Learning for Coders

Fast.ai's foundational course for practitioners. Covers deep learning fundamentals with a code-first approach. Recommended prerequisite before ArkOne's advanced courses.

~20h
deeplearning.aifoundational

ChatGPT Prompt Engineering for Developers

Level up your use of LLMs with prompt engineering best practices. Learn to automate workflows, chain LLM calls, and build a custom chatbot.

~1.5h