Artificial Intelligence Courses
Artificial Intelligence aims to create intelligent machines. Using AI, machines can act and react like humans with access to expansive information about the world. Machine learning is a core part of AI. Overall, Artificial Intelligence is the process of creating simple mathematical models for high dimensional data sets. At an Artificial Intelligence bootcamp, you’ll learn how to produce a... Read more Read less
Artificial Intelligence aims to create intelligent machines. Using AI, machines can act and react like humans with access to expansive information about the world. Machine learning is a core part of AI. Overall, Artificial Intelligence is the process of creating simple mathematical models for high dimensional data sets. At an Artificial Intelligence bootcamp, you’ll learn how to produce a computer-assisted solution when data is too complex for humans to find answers. Artificial Intelligence schools combine data science and machine learning skills to help prepare you for the job market.
Machine learning is used in products like Amazon Alexa which converts spoken audio into language information; Google Image Search which uses image recognition to return specific search results; and Samsung Smart Fridges which use data and machine learning to produce intuitions about customer behavior. But the best Artificial Intelligence bootcamps will teach you that AI can be used for more than products. AI bootcamp students like Jake have created a program that detects skin cancer from an image!
As of 2023, many bootcamps are incorporating AI tools into their programs. During a bootcamp, you can expect to use AI tools like GitHub Copilot, which is a productivity-enhancing, AI tool that acts as the Driver in a pair programming scenario. Some students are opting to upskill by taking an AI bootcamp or short course. Rachel MacLachlan says of BrainStation's Online Artificial Intelligence Course, "With all the hype and fear out there about AI, I feel much more equipped to engage in the important discussions going on with a balanced approach."
BloomTech’s Thomson Comer says, “The most successful machine learning engineers can report on what they’re working on in a compelling way. They make good visualizations, graphics, and websites. Plus, they have a willingness to explain how algorithms work.”
After a bootcamp, AI jobs could include Machine Learning Engineer, Data Scientist, Data Analyst, and more. The best Artificial Intelligence course will teach you Python and Python libraries, Jupyter, data visualization, machine learning models, math like linear algebra, data interpretation, deep learning, and more.
351 Artificial Intelligence Courses
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Barcelona Code School's Machine Learning and AI Engineering Bootcamp is a 13-week, part-time course designed to teach students how to build and understand AI systems, moving beyond traditional black-box usage. The program offers flexible learning through text and video materials, supplemented by 1:1 mentor guidance. Participants will explore advanced topics in machine learning, deep learning, and AI, with a focus on hands-on project-based learning. Before You Learn / Who This Course Is For Open to anyone eager to build AI systems Designed for learners with a passion for deep learning No specific prerequisites required What to Expect 13-week part-time mentored format Flexible schedule with text and video materials Regular 1:1 sessions with instructors What You'll Achieve Industry-recognized graduation certificate Skills in AI development with BERT and GPT Proficiency in building neural networks and language models
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KeepCoding's Digital Marketing and Data Analysis Bootcamp is an online, comprehensive program designed to equip professionals with expertise in branding, content marketing, and digital analytics. This self-paced course covers essential topics such as e-commerce, social ads, and growth hacking through hands-on projects and real-world applications, ensuring learners stay updated with evolving technologies. Before You Learn / Who This Course Is For Open to marketing and data professionals Ideal for those interested in digital marketing strategies No prerequisites required What to Expect Self-paced online learning format Hands-on projects in branding, PPC, and analytics In-depth focus on social ads and growth hacking What You'll Achieve Develop skills in digital marketing and analytics Enhance career prospects in marketing roles
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KeepCoding's UX/UI Full Stack Bootcamp is designed to teach students how to enhance user experience on web and mobile applications. This online, project-based course covers the essentials of user interface design using tools like Figma. Participants will gain hands-on experience through real-world projects, ensuring they acquire practical skills applicable to the current job market. Before You Learn / Who This Course Is For Ideal for aspiring UX/UI designers Open to both technical and non-technical learners No prerequisites required What to Expect Online, project-based learning format Hands-on experience with real projects Focus on Figma and other industry tools What You'll Achieve Master UX/UI design for web and mobile Gain practical skills with market-demand tools
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KeepCoding's Full Stack Artificial Intelligence Bootcamp offers a comprehensive, hands-on learning experience focused on applying AI across projects. Participants explore Big Data and Machine Learning, gaining practical skills in AI creation. This online program emphasizes real-world applications through project-based learning, ensuring learners effectively integrate AI into their workflows. Before You Learn / Who This Course Is For Suitable for professionals seeking AI integration skills Ideal for those interested in Big Data and Machine Learning No prerequisites required, open to all backgrounds What to Expect Online, hands-on learning with practical AI projects Focus on Big Data and Machine Learning applications Project-based approach for real-world AI integration What You'll Achieve Hands-on AI creation skills for practical use Competence in using Big Data and Machine Learning Enhanced ability to apply AI in various projects
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Data Science Dojo offers an immersive bootcamp that equips professionals with essential data science skills through live, in-person, instructor-led sessions. The curriculum combines foundational concepts with hands-on exercises, focusing on R programming and Azure machine learning. Participants will learn to extract actionable insights from data, preparing them to tackle real-world business challenges effectively. Before You Learn / Who This Course Is For Working professionals seeking data science skills Ideal for those with interest in data science Basic programming knowledge recommended, not mandatory What to Expect Live, in-person, instructor-led tutorials Hands-on exercises with R and Azure tools Focus on practical data interpretation and insights What You'll Achieve Gain skills in R programming and Azure Ability to solve real-world data problems
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Data Science Dojo's IoT Bootcamp is a two-day, hands-on course designed for professionals eager to explore the Internet of Things. Attendees will delve into IoT applications, learn to build prototypes, and examine critical legal and ethical issues. The course provides a comprehensive overview of IoT architecture and practical learning experiences to enhance understanding of this rapidly evolving field. Before You Learn / Who This Course Is For Open to all working professionals Ideal for those interested in IoT and data science No programming experience required What to Expect Hands-on, real-world IoT learning Build working prototypes across various industries Discuss legal, ethical, and data governance issues What You'll Achieve Enhanced understanding of IoT architecture and applications Practical skills for building IoT prototypes
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Data Science Dojo's Large Language Models Bootcamp is a comprehensive 5-day, 40-hour program available both in-person and online. It focuses on mastering Large Language Models (LLMs) for enhanced performance and customization. Participants will gain hands-on experience with generative AI fundamentals, LLM application architectures, and deployment strategies. The bootcamp is project-based, allowing learners to build custom LLM applications with expert guidance, utilizing tools like vector databases and orchestration frameworks such as LangChain and Llama Index. Before You Learn / Who This Course Is For Open to beginners and advanced data professionals Ideal for product leaders enhancing products with LLMs No specific prerequisites required What to Expect Available in-person and online, project-based learning Hands-on with LangChain, Llama Index, and Azure Practical deployment and customization of LLM applications What You'll Achieve Build custom LLM applications on chosen datasets Master generative AI and LLM fundamentals Enhance career prospects in AI-driven fields
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Codemify’s Machine Learning Engineer Program is a hands-on bootcamp designed for career changers seeking practical ML skills. Participants gain real-world experience through internships with U.S.-based startups and engage in intensive interview preparation. The program emphasizes building projects, training models, and deploying applications with support from live mentors, ensuring students acquire tools like Python, Pandas, and scikit-learn for real-world applications. Before You Learn / Who This Course Is For Ideal for career changers entering machine learning Open to all with no specific prerequisites Perfect for those seeking hands-on experience in ML What to Expect Internship at a U.S.-based startup for real-world experience Live mentorship and a supportive learning community Intensive interview preparation with up to six sessions weekly What You'll Achieve Proficiency in Python, Pandas, NumPy, and scikit-learn Skills in data modeling, visualization, and ML pipelines
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CodingNomads offers a comprehensive online bootcamp designed to take learners from beginner to professional in data analysis, data science, machine learning, and AI. The program includes courses in Python, SQL, and deep learning, utilizing real-world datasets and popular tools like Numpy and Pandas. Students benefit from one-on-one mentorship, chat support, and a community of learners, with most completing the curriculum within 6-10 months, plus additional career support. Before You Learn / Who This Course Is For Open to beginners and aspiring data professionals Ideal for career changers in tech fields No prerequisites; commitment to learning required What to Expect Online, self-paced learning with flexible schedule Access to real-world datasets and tools like Numpy One-on-one mentorship and peer support channels What You'll Achieve Skills in Python, SQL, and machine learning Career mentorship to guide job transitions Potential for career advancement and salary increase
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CodingNomads' Deep Learning with Python course is an online, self-paced program focusing on artificial intelligence fundamentals. Students engage in hands-on projects using PyTorch, neural networks, and computer vision. The course spans approximately four months, requiring around 15 hours of study per week. Participants design, train, and evaluate their own deep learning models, gaining practical experience in AI applications. Before You Learn / Who This Course Is For Ideal for technical professionals in AI and data science Proficiency in Python and basic calculus required Targeted at learners interested in deep learning models What to Expect Self-paced online learning with flexible scheduling Hands-on projects using PyTorch and neural networks Focus on computer vision and natural language processing What You'll Achieve Develop skills in designing and evaluating AI models Gain practical experience with deep learning tools
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