By Prosun • Updated December 21, 2025
Seeking high-quality online training from DeepLearning.AI? We've conducted an in-depth analysis of their most popular offerings, leading to this curated list of the 25 best online courses available in 2026.
Each selection is rated based on curriculum quality, instructor expertise, and student outcomes to help you make a smart investment in your professional development with DeepLearning.AI.
#1 Editor's Choice
Provided by DeepLearning.AI
In Retrieval Optimization: Tokenization to Vector Quantization, taught by Kacper Łukawski, Developer Relations Lead of...
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#2 Editor's Choice
Provided by DeepLearning.AI
ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。この講座は今後学んでいく「TensorFlow in Practice...
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#3 Editor's Choice
Provided by DeepLearning.AI
The landscape of LLMs and the libraries that support them has evolved rapidly in recent months.
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#4 Editor's Choice
Provided by DeepLearning.AI
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it...
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#5 Editor's Choice
Provided by DeepLearning.AI
Wenn auch Sie topaktuelle KI für sich nutzen möchten, sind Sie mit diesem Kurs auf dem richtigen Weg.
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#6 Editor's Choice
Provided by DeepLearning.AI
Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter...
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#7 Editor's Choice
Provided by DeepLearning.AI
In , you will: about GANs and their applications Understand the intuition behind the fundamental components of GANs...
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#8 Editor's Choice
Provided by DeepLearning.AI
ستتعلم كيفية بناء مشروع تعلم آلي ناجح. إذا كنت تطمح في أن تكون قائدًا تقنيًا في مجال الذكاء الاصطناعي، وتعرف كيفية...
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#9 Editor's Choice
Provided by DeepLearning.AI
This final course in the skill certificate focuses on applying AI to highlevel software engineering tasks.
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#10 Editor's Choice
Provided by DeepLearning.AI
is designed to enhance your skills by integrating AI chatbots as pair programmers in your development process.
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#11 Editor's Choice
Provided by DeepLearning.AI
how to build multimodal search and RAG systems. RAG systems enhance an LLM by incorporating proprietary data into the...
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#12 Editor's Choice
Provided by DeepLearning.AI
In , you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global...
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#13 Editor's Choice
Provided by DeepLearning.AI
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and...
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#14 Editor's Choice
Provided by DeepLearning.AI
will teach you two critical skills for building applications with LLMs: functioncalling and structured data extraction.
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#15 Editor's Choice
Provided by DeepLearning.AI
In this Machine Learning in Production course, you will build intuition about designing a production ML system...
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#16 Editor's Choice
Provided by DeepLearning.AI
ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。この講座は今後学んでいく「TensorFlow in Practice...
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#17 Editor's Choice
Provided by DeepLearning.AI
Large language models (LLMs) are trained on humangenerated text, but additional methods are needed to align an LLM with...
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#18 Editor's Choice
Provided by DeepLearning.AI
Vous souhaitez vous lancer dans l’IA de pointe ? Ce cours est là pour vous y aider.
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#19 Editor's Choice
Provided by DeepLearning.AI
Federated Learning! In this twopart course series, you will use Flower, a popular open source framework, to build a...
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#20 Editor's Choice
Provided by DeepLearning.AI
딥 러닝 전문화의 첫 번째 과정에서는 신경망과 딥 러닝의 기본 개념을 학습합니다. 마지막에는 완전히 연결된 심층 신경망의 구축, 훈련 및 적용, 효율적인(벡터화된) 신경망 구현, 신경망 아키텍처의 주요 파라미터...
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#21 Editor's Choice
Provided by DeepLearning.AI
our new short course, Practical Multi AI Agents and Advanced Use Cases with crewAI, taught by João Moura, Founder of...
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#22 Editor's Choice
Provided by DeepLearning.AI
Vector databases use embeddings to capture the meaning of data, gauge the similarity between different pairs of...
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#23 Editor's Choice
Provided by DeepLearning.AI
our new short course, Efficiently Serving Large Language Models, to build a groundup understanding of how to serve LLM...
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#24 Editor's Choice
Provided by DeepLearning.AI
AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to...
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#25 Editor's Choice
Provided by DeepLearning.AI
In Building Your Own Database Agent you will develop an AI agent that interacts with databases using natural language,...
View Course Details ↗Most major platforms offer a 'free to audit' option, allowing you to view course materials. Verified certificates and graded projects require a paid subscription.
Completing a top-tier DeepLearning.AI certification is proven to enhance job mobility and salary potential, as validated expertise is highly valued by employers.
Our selected courses are rigorously checked to ensure the syllabus reflects current industry standards and technology trends for 2026.
Completion times vary. Most courses are self-paced and can take anywhere from 20 to 100 hours of study. Many learners finish within 2-3 months.
Yes, the certifications from our recommended courses, especially those from providers like Google, IBM, and leading universities, are recognized by employers worldwide.