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Master Artificial Intelligence and GenAI

AI is changing how we work. DataCamp’s interactive courses span Machine Learning and Generative AI, teaching LLMs, prompt engineering, workflow automation, and building intelligent systems with Python, R, and SQL. Whether you’re a non-coder or aspiring AI Engineer, find your path forward.

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Recommended for AI beginners

Build your AI skills with interactive courses, curated by real-world experts

コース

仕事のためのAI入門

基礎スキルレベル
2-3 hours
33.7K
AIの基礎と仕組みを学び、責任ある活用で、より賢く生産的に働く方法を身につけましょう。
AI Native

トラック

LangChainによるAIエンジニアリング

21 時間
6K
プロンプトエンジニアリングからエージェントシステムまで、AI チューターの指導を受けながら、スケーラブルな AI アプリケーションを構築するための完全なスキルセットを習得できます。

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AI のコースとトラックを閲覧

コース

Gemini in Google Sheets

基礎スキルレベル
1 時間
276
Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.

コース

Gemini in Google Docs

基礎スキルレベル
1 時間
271
Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

コース

OpenAI Responses API を使いこなす

中級スキルレベル
3 時間
267
OpenAI Responses API と GPT-5 を使い、賢く双方向で信頼性の高い AI アプリをこれまで以上に簡単に構築しましょう。

コース

Gemini in Google Slides

基礎スキルレベル
1 時間
251
Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

コース

Gemini in Google Drive

基礎スキルレベル
1 時間
250
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.

コース

Gemini in Google Meet

基礎スキルレベル
1 時間
243
Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

コース

Building Marketing Workflows with n8n

基礎スキルレベル
3 時間
231
Build marketing workflows in n8n using AI agents. Automate campaign strategy, conversion optimization, and lead generation from scratch.

コース

End-to-End RAG with Weaviate

中級スキルレベル
2 時間
172
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

コース

Building AI Agents with Haystack

中級スキルレベル
2 時間
166
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

コース

Working with DeepSeek in Python

基礎スキルレベル
3 時間
101
Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

コース

Kerasで学ぶMachine Translation

上級スキルレベル
4 時間
66
Google Translateのような製品を支えるモデルの仕組みに興味はありますか?

コース

Advanced AI-Assisted Coding for Developers

上級スキルレベル
2 時間
58
Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.

コース

Intermediate Workflow Automation with n8n

中級スキルレベル
4 時間
27
Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule.

コース

LLM Tool Use with LangChain

中級スキルレベル
Over 3 hours
0
Learn to extend your LLM applications with external tools, so your applications can retrieve live data, perform computations, and take real-world actions.

AI の関連リソース

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Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

Frequently asked questions

What is Artificial Intelligence (AI), and why is it important?

Artificial Intelligence (AI) is a subfield of computer science aimed at creating intelligent agents capable of performing tasks that typically require human intelligence. This includes activities like problem-solving, speech recognition, and decision-making. AI is important because it can improve efficiency, automate repetitive tasks, and solve complex problems more effectively than humans in some cases.

What skills do I need to learn AI?

You'll need a mix of technical and soft skills to learn AI. Key technical skills include programming (Python is widely used in AI for its simplicity and robust libraries like TensorFlow and PyTorch), statistics and probability (to understand models and algorithms), and machine learning concepts. Knowledge in data structures, algorithms, and computational thinking is also beneficial. Soft skills, such as critical thinking, problem-solving, and effective communication, are important for working in teams and understanding project requirements.

How will learning AI benefit my career?

Learning AI now is timely due to its growing relevance in various industries and the proliferation of generative AI, leading to significant job growth and high demand for AI expertise. This field is recognized for offering high-paying roles, reflecting the value and impact of AI skills in the market. Moreover, AI provides an intellectually stimulating career, challenging professionals to solve complex problems, innovate, and continuously learn.

Are DataCamp’s AI courses suitable for anyone?

DataCamp offers AI courses designed for learners at every level. Whether you're looking to grasp the fundamental concepts behind AI, understand how to utilize tools like ChatGPT more effectively, or you're an experienced professional aiming to tackle advanced projects like building deep learning models, DataCamp has courses tailored to meet your needs. This makes DataCamp an ideal platform for anyone interested in AI, from beginners to those with well-established proficiency seeking to advance their skills further.

What careers are there in AI?

Careers in AI span a wide range, from AI research scientists and machine learning engineers to data scientists and AI software developers. These roles involve developing AI models, analyzing data, and applying AI technologies to solve real-world problems.

What’s the difference between AI and machine learning courses?

AI courses cover a broad spectrum of topics including the theory behind artificial intelligence, its applications, and ethical considerations, providing a foundational understanding of AI. Machine learning courses, on the other hand, focus specifically on algorithms and statistical models that computers use to perform tasks without explicit instructions, emphasizing the technical skills needed to implement AI.

Can I learn AI without coding?

While a background in programming can be highly beneficial, it's not strictly necessary to start learning AI. Many of our courses and resources are designed for those without coding knowledge who are looking to start upskilling in AI from scratch or simply better understand AI and how to use AI tools.

However, as you progress, a strong understanding of programming, especially in languages like Python, will be crucial for implementing AI models and algorithms effectively.

How long does it take to learn AI?

It depends on your goals. You can grasp the AI Fundamentals and Prompt Engineering in as little as 4-10 hours of interactive learning. To become job-ready as a Data Scientist or AI Engineer, expect 3-6 months of consistent study to master Python, SQL, and Machine Learning algorithms through our structured career tracks.

What is the difference between Generative AI and traditional AI?

Traditional AI analyzes data to make predictions, such as recommending movies or detecting fraud. Generative AI creates new content, including text, images, and code. DataCamp covers both, teaching you to build Machine Learning models and leverage Generative AI tools like the OpenAI API.

What popular AI tools and frameworks should I learn?

For technical roles, you will master Python and R using libraries like PyTorch, TensorFlow, and scikit-learn. For non-coding and business roles, we cover productivity tools like ChatGPT, Microsoft Copilot, and Claude to help you automate tasks.

What is Prompt Engineering?

Prompt Engineering is the skill of crafting precise inputs to get the best output from AI models like ChatGPT. It is a critical skill for the future of work. Our courses teach you how to write effective prompts to speed up research, coding, and content creation.

Do DataCamp AI courses offer certificates?

Yes. Upon finishing any course or career track, such as AI Fundamentals or Data Scientist, you earn a Statement of Accomplishment. You can display these certificates on your resume and LinkedIn profile to showcase your proficiency to employers. There are also industry-accredited AI certifications you can earn for certain courses and tracks.

Do I need a strong math background to learn AI?

Not for most courses. Generative AI and Applied AI concepts require no advanced math. For technical Machine Learning tracks, a basic grasp of statistics is helpful, but we provide built-in refresher courses to teach you the necessary math alongside the code.

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