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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

คอร์ส

Introduction to AI for Work

Basicระดับทักษะ
4.7+
11,360 รีวิว
2 ชม.
Explore what AI is and how to use it responsibly for smarter, more productive work!
AI Tutor

แทร็ก

วิศวกร AI ระดับ Associate สำหรับนักพัฒนา

4.9+
23 รีวิว
26 ชม.
เรียนรู้วิธีผสาน AI เข้ากับแอปพลิเคชันซอฟต์แวร์โดยใช้ API และไลบรารีโอเพนซอร์ส เริ่มต้นเส้นทางสู่การเป็น AI Engineer ของคุณวันนี้!

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ทำการประเมิน

เรียกดูคอร์สและเส้นทางการเรียน AI

คอร์ส

Explainable Artificial Intelligence (XAI) Concepts

Basicระดับทักษะ
4.8+
946 รีวิว
1 ชม.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

คอร์ส

Gemini in Google Slides

Basicระดับทักษะ
4.8+
273 รีวิว
30 นาที
Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

คอร์ส

Introduction to Deep Learning with Keras

ระดับกลางระดับทักษะ
4.7+
124 รีวิว
4 ชม.
Learn to start developing deep learning models with Keras.

คอร์ส

Introduction to GPTs

Basicระดับทักษะ
4.7+
642 รีวิว
1 ชม.
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

คอร์ส

Microsoft Copilot in PowerPoint

Basicระดับทักษะ
4.7+
108 รีวิว
2 ชม.
Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.

คอร์ส

Artificial Intelligence Governance

Basicระดับทักษะ
4.8+
551 รีวิว
2 ชม.
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

คอร์ส

Gemini in Google Meet

Basicระดับทักษะ
4.9+
270 รีวิว
30 นาที
Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

คอร์ส

AI for Human Resources

Basicระดับทักษะ
4.8+
130 รีวิว
3 ชม.
Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

คอร์ส

Gemini in Gmail

Basicระดับทักษะ
4.8+
208 รีวิว
30 นาที

คอร์ส

Deploying AI into Production with FastAPI

ขั้นสูงระดับทักษะ
4.8+
390 รีวิว
4 ชม.
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

คอร์ส

AI for Consulting

Basicระดับทักษะ
4.8+
125 รีวิว
3 ชม.
Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.

คอร์ส

Microsoft Copilot in Word

Basicระดับทักษะ
4.8+
124 รีวิว
3 ชม.
Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.

คอร์ส

AI for Marketing

Basicระดับทักษะ
4.7+
150 รีวิว
3 ชม.
Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.

คอร์ส

Gemini in Google Docs

Basicระดับทักษะ
4.8+
164 รีวิว
30 นาที
Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

คอร์ส

Gemini in Google Sheets

Basicระดับทักษะ
4.8+
152 รีวิว
30 นาที
Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.

คอร์ส

Introduction to Generative AI in Snowflake

ระดับกลางระดับทักษะ
4.8+
336 รีวิว
2 ชม.
Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

คอร์ส

Introduction to Subagents

ระดับกลางระดับทักษะ
4.8+
99 รีวิว
2 ชม.
Learn how to use and create sub-agents in Claude Code to manage context, delegate tasks, and build workflows that keep your conversation clean and focused.

คอร์ส

AI for Sales

Basicระดับทักษะ
4.7+
101 รีวิว
1 ชม. 40 นาที
Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.

คอร์ส

Generate a Study Guide

Basicระดับทักษะ
4.7+
538 รีวิว
1 ชม.
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

คอร์ส

Gemini in Google Drive

Basicระดับทักษะ
4.8+
148 รีวิว
30 นาที
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.

คอร์ส

Deep Reinforcement Learning in Python

ขั้นสูงระดับทักษะ
4.8+
270 รีวิว
4 ชม.
Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

คอร์ส

Building a Go-To-Market Strategy

Basicระดับทักษะ
4.7+
368 รีวิว
1 ชม.
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

คอร์ส

Image Modeling with Keras

ขั้นสูงระดับทักษะ
4.8+
89 รีวิว
4 ชม.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

คอร์ส

Intermediate Workflow Automation with n8n

ระดับกลางระดับทักษะ
4.8+
40 รีวิว
4 ชม.
Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule.

คอร์ส

Building Marketing Workflows with n8n

Basicระดับทักษะ
4.9+
48 รีวิว
3 ชม.
Build marketing workflows in n8n using AI agents. Automate campaign strategy, conversion optimization, and lead generation from scratch.

คอร์ส

AI Agents with Hugging Face smolagents

ขั้นสูงระดับทักษะ
4.8+
234 รีวิว
3 ชม.
Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

คอร์ส

Advanced AI-Assisted Coding for Developers

ขั้นสูงระดับทักษะ
4.9+
58 รีวิว
1 ชม. 30 นาที
Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.

คอร์ส

AI-Assisted Travel Planning

Basicระดับทักษะ
4.8+
439 รีวิว
1 ชม.
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

คอร์ส

Graph RAG with LangChain and Neo4j

ขั้นสูงระดับทักษะ
4.7+
98 รีวิว
3 ชม.
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

คอร์ส

Multi-Modal Systems with the OpenAI API

ระดับกลางระดับทักษะ
4.8+
435 รีวิว
2 ชม.
Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

แหล่งข้อมูลที่เกี่ยวข้องเกี่ยวกับ AI

บล็อก

How to Learn AI From Scratch in 2026: A Complete Guide From the Experts

Find out everything you need to know about learning AI in 2026, from tips to get you started, helpful resources, and insights from industry experts.
Adel Nehme's photo

Adel Nehme

15 นาที

บล็อก

12 Exciting AI Projects for All Levels in 2026

Develop your portfolio and improve your skills in creating innovative solutions for complex problems by working on AI projects.
Abid Ali Awan's photo

Abid Ali Awan

8 นาที

บล็อก

The Top AI Certifications for 2026: A Guide to Advancing Your Tech Career

Explore the best AI certifications for 2026 with our comprehensive guide. Understand the difference between AI certifications and certificates, identify top courses for various career paths, and learn how to choose the right program.
Matt Crabtree's photo

Matt Crabtree

8 นาที


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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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