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3364 courses

5.0

The 42 program offers a flexible, self-paced learning experience spanning 3 to 5 years. It is designed to equip students with essential skills for the tech industry, focusing on practical, project-based learning. The program is conducted online, allowing students to progress through requirements at their individual pace, ensuring a comprehensive understanding of the material. Before You Learn / Who This Course Is For Aspiring tech professionals and developers Ideal for self-motivated learners No specific prerequisites required What to Expect Self-paced online learning format Project-based activities for practical skills Collaborative projects with peers What You'll Achieve Comprehensive tech industry skills Readiness for various tech roles

via 42
1 week 1 hr/week
N/A

5.0

Simplilearn's Lean Six Sigma Expert program is an online course designed to fast-track careers in quality management. The course is aligned with IASSC's Green Belt and Black Belt certifications and focuses on mastering Lean and Six Sigma methodologies. Learners will engage with the DMAIC framework and tools such as Minitab to drive business improvement effectively. Before You Learn / Who This Course Is For Ideal for aspiring quality management experts Suitable for both technical and non-technical professionals No specific prerequisites required What to Expect Self-paced online format with comprehensive modules Hands-on projects using the DMAIC framework Practical training with Minitab software What You'll Achieve Gain IASSC Green Belt and Black Belt alignment Master Lean and Six Sigma methodologies Enhance career prospects in quality management

via Simplilearn
1 week 1 hr/week
$1,999

5.0

Johns Hopkins University's self-paced online course offers an accelerated pathway to mastering Python with Generative AI. It equips learners with the skills to write, debug, and refine code using AI-driven techniques. Delivered through engaging video walkthroughs and recorded sessions, this course emphasizes hands-on practice with industry-relevant assignments, enabling students to build a professional developer environment and improve coding skills. Before You Learn / Who This Course Is For Graduates needing Python prerequisites or proficiency Researchers aiming to advance academic work with AI Professionals integrating Generative AI into workflows What to Expect Asynchronous, self-paced learning with video sessions 10+ hands-on coding assignments with real-world use cases Build an e-Portfolio to showcase AI and Python skills What You'll Achieve Certificate of Completion and 1 CEU from Johns Hopkins

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via Great Learning
10 hours
$500

5.0

Level 2: Explore is Indie Game Academy's intermediate, one-month online bootcamp focusing on game development. Participants will learn industry verticals, create a video game, and release it online. The course includes live classes in a virtual environment, offering hands-on experience and collaboration with peers under the guidance of an industry expert. Before You Learn / Who This Course Is For Aspiring game developers seeking intermediate skills Ideal for those interested in game design and programming No prerequisites; enthusiasm for game development recommended What to Expect One month of live virtual classes Hands-on project building with peer collaboration Guidance from an industry veteran in game development What You'll Achieve Earn the IGA Level 2 Certificate Develop and release a complete video game Gain skills in Unity and C# programming

via Indie Game Academy
4 weeks 4 hrs/week
$1,800

5.0

The Indie Game Academy's Level 3: Publish is a four-month, gamified video game bootcamp. Delivered online with live lessons from industry experts, this course guides students through the entire game development process. Participants collaborate in multidisciplinary teams to ideate, design, and publish games on platforms like Android and iOS, while gaining skills in game marketing and business strategies. Before You Learn / Who This Course Is For Ideal for aspiring game developers and designers Suitable for both technical and non-technical roles No prerequisites required; passion for gaming is essential What to Expect Four months of live, interactive online sessions Collaborate in teams to create a mock indie studio Comprehensive coverage of game design and monetization What You'll Achieve Earn the IGA Level 3 Certificate Develop and publish a game across multiple platforms Gain skills in game marketing and business

via Indie Game Academy
16 weeks 4 hrs/week
$5,400

5.0

MTSClass offers a three-month hybrid course providing foundational skills for a career in tech. Focusing on System Administration and Linux Engineering, the course prepares students for professional environments. Delivered through intense, hands-on training, it ensures practical mastery of Linux functions essential for tech roles. Before You Learn / Who This Course Is For Ideal for aspiring tech professionals No prior Linux experience required Suitable for career switchers and fresh graduates What to Expect Hybrid format: online and in-person sessions Hands-on practice with Linux functions Intense instructional modules What You'll Achieve Foundational Linux skills applicable in tech roles Preparation for System Administrator positions

via MTS Class
12 weeks 6 hrs/week
$4,500

5.0

The Pragra Front-End MERN Stack course offers a comprehensive, classroom-based learning experience focused on web development using JavaScript frameworks such as Node.js, React.js, Express, and MongoDB. Participants will gain expertise in full-stack development, enabling them to build web and mobile applications. The course includes career mentoring, resume assistance, and interview preparation to support learners in achieving their professional goals. Before You Learn / Who This Course Is For Ideal for aspiring web developers Technical professionals seeking to expand skills No prerequisites required What to Expect Classroom-based instruction on MERN Stack technologies Hands-on projects with real-world applications Career mentoring and resume assistance included What You'll Achieve Expertise in full-stack web and mobile development Enhanced employability with interview preparation Proficiency in MERN Stack frameworks

via Pragra
1 week 1 hr/week
N/A

5.0

The MIT Data Science and Machine Learning Program is a 12-week, online course designed to help learners uncover the true value of data and make informed business decisions. Taught by MIT faculty, this program offers mentorship from industry practitioners and includes over 20 hands-on projects and case studies. It focuses on practical applications of data science and machine learning techniques to solve real-world challenges. Before You Learn / Who This Course Is For Ideal for professionals seeking data-driven decision-making skills Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect Online, 12-week course with live instruction Includes 20+ hands-on projects and case studies Mentorship from industry practitioners and MIT faculty What You'll Achieve Gain practical data science and machine learning skills Hands-on experience with real-world data challenges

via Great Learning
12 weeks 1 hr/week
N/A

5.0

The University of Arizona's Master’s in Information Science program offers a comprehensive online learning experience designed by industry experts. This course progresses from foundational concepts to advanced applications, focusing on critical information science skills. Delivered through a blend of self-paced study and hands-on projects, it prepares students for diverse roles in the field. Before You Learn / Who This Course Is For Ideal for aspiring information science professionals Designed for both beginners and experienced learners No specific prerequisites required What to Expect Blended self-paced and project-based learning Curriculum designed by industry experts Hands-on applications in information science What You'll Achieve Master’s degree from a top 100 global university Comprehensive skills in information science Preparation for advanced career opportunities

via Great Learning
104 weeks 1 hr/week
N/A

5.0

CoderSchool offers an intensive, full-time Machine Learning course designed for aspiring Data Analysts and Machine Learning Engineers. Held on-campus in Ho Chi Minh City, this 12-week program runs from Monday to Friday, with optional weekend sessions. Participants will gain hands-on experience with Python, TensorFlow, SQL, and Deep Neural Networks, ensuring they acquire essential skills for the field. Before You Learn / Who This Course Is For Aspiring Data Analysts and Machine Learning Engineers Open to all with passion and commitment No specific technical prerequisites required What to Expect Full-time, on-campus instruction in Ho Chi Minh City Hands-on experience with Python and TensorFlow Interactive sessions from 10AM-6PM, Monday to Friday What You'll Achieve Mastery of Python, TensorFlow, SQL, and Deep Neural Networks Skills applicable to data analysis and machine learning roles

via CoderSchool
12 weeks 40 hrs/week
$2,380

Frequently Asked Questions

How do I choose a course for my goals?

Start with the skill you want to learn and the work you want to do with it. Compare the syllabus, projects, instructor feedback, total cost, and time commitment. A short course can help you explore a topic; a longer program may offer more structure and practice.

Should I choose a live, self-paced, or in-person course?

Live classes provide scheduled instruction and opportunities to ask questions. Self-paced courses give you more control over when you study, but check what support and deadlines are included. For in-person options, factor in travel as well as class and practice time.

Do I need experience before enrolling?

Entry requirements vary. Read the prerequisites and look for required software, technical skills, or an admissions assessment. If you are new to the subject, try an introductory lesson and ask the provider how it supports beginners before committing.

Can a course help me change careers?

A course can help you build skills and projects, but completing it does not guarantee a job. Compare the curriculum with the roles you want, read alumni reviews, and ask what career support and outcomes data the provider shares.

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