Neural Networks Courses
A type of machine learning process called deep learning utilizes neural networks, which are artificial neural networks that mimic the human brain so that computers can process data in a comparable way. Neural networks live under the umbrella of data science, which is an extensive multidisciplinary field combining computer science and math to organize, analyze, and utilize data to promote smart... Read more Read less
A type of machine learning process called deep learning utilizes neural networks, which are artificial neural networks that mimic the human brain so that computers can process data in a comparable way. Neural networks live under the umbrella of data science, which is an extensive multidisciplinary field combining computer science and math to organize, analyze, and utilize data to promote smart business decisions. Data scientists find patterns in numbers, text, images, and even audio files using machine learning, deep learning, and artificial intelligence (AI). Understanding neural networks is an advanced part of a Senior Data Scientist’s job.
Many data science bootcamps and machine learning bootcamps include neural networks within their curriculum to ensure students are prepared to meet the needs of today’s employers.
56 Neural Networks Courses
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Flatiron's Data Science Bootcamp provides an in-depth, online learning experience focusing on essential data science skills. Students will explore Python, SQL, statistics, cloud computing, natural language processing, machine learning, and neural networks. Delivered through a mix of live instruction and self-paced materials, this program emphasizes hands-on projects and real-world applications to prepare learners for careers in data science. Before You Learn / Who This Course Is For Designed for aspiring data scientists No prerequisites; beginners welcome Ideal for career changers and tech enthusiasts What to Expect Combination of live and self-paced learning Hands-on projects with real-world data Covers Python, SQL, and machine learning What You'll Achieve Comprehensive understanding of data science tools Skills applicable to data-driven roles
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The Data Science Bootcamp is an immersive online program designed for aspiring data scientists. This course offers in-depth training in Python, SQL, statistics, cloud computing, natural language processing, machine learning, and neural networks. Delivered through a project-based approach, participants gain hands-on experience and practical skills applicable in real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring data scientists and analysts Ideal for technical professionals seeking data skills No prerequisites required; beginners welcome What to Expect Online, self-paced format with project-based learning Hands-on practice with Python, SQL, and machine learning tools Focus on practical applications in cloud computing and NLP What You'll Achieve Comprehensive understanding of data science principles Proficiency in Python, SQL, and machine learning Skills applicable to data-driven career paths
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Educative's Data Scientist bootcamp is a comprehensive, self-paced online program designed for aspiring data professionals. The course covers crucial topics such as data analysis, data engineering, predictive analytics, and machine learning. Participants will engage with tools like Numpy and Pandas through project-based learning to build practical skills in deep learning and neural networks. Before You Learn / Who This Course Is For Aspiring data scientists and analysts No prerequisites; suitable for beginners Ideal for career switchers and upskillers What to Expect Self-paced online format with flexible learning Hands-on projects using Numpy and Pandas Coverage of machine learning and deep learning What You'll Achieve In-depth understanding of data science principles Practical skills in predictive analytics Proficiency in neural networks and statistics
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The MIT Sloan Artificial Intelligence in Health Care online short course delivers a six-week, fully online exploration of how AI and machine learning are transforming healthcare delivery, diagnosis, data analysis, and clinical workflows. Learners will gain foundational knowledge of AI techniques, from machine learning and neural networks to natural language processing, through practical modules and real-world case studies. Before You Learn / Who This Course Is For Health care professionals and leaders seeking to understand how AI can improve patient outcomes and organizational efficiency Data practitioners and technical specialists interested in applying machine learning and analytics within health contexts Managers and decision-makers aiming to evaluate or implement AI technologies responsibly in clinical or administrative settings What to Expect Six weeks of structured online learning with weekly modules covering AI fundamentals through to health-system optimization A blend of interactive content, case studies, assignments, and discussions tailored to working professionals Guidance from MIT Sloan and MIT Jameel Clinic faculty, exploring real-world AI applications in health care What You’ll Achieve A strong foundation in AI and machine learning concepts relevant to healthcare innovation An AI decision framework to assess the suitability of AI tools for specific healthcare challenges A digital certificate of completion from the MIT Sloan School of Management
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The Oxford Artificial Intelligence Programme is a six-week online course from the University of Oxford’s Saïd Business School that provides a robust foundation in artificial intelligence fundamentals, including machine learning, deep learning, and generative AI, without requiring coding skills. Through flexible weekly modules, students will explore AI’s history, capabilities, ethical implications, and real-world business applications, gaining insight into how AI can create strategic value in organizations. Before You Learn / Who This Course Is For Business leaders and cross-functional managers seeking a practical understanding of AI Technical and non-technical professionals exploring AI’s organizational impact CIOs, IT managers, and analysts aiming to assess AI opportunities What to Expect Weekly modules covering AI ecosystems, machine learning, deep learning, and generative AI Insight into ethical, societal, and business implications of AI technologies What You’ll Achieve Strong conceptual understanding of AI fundamentals and key technologies Ability to identify organizational AI opportunities and build a business case A digital certificate from Oxford Saïd validating your expertise
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Udemy’s Ultimate AWS Certified AI Practitioner (AIF‑C01) course prepares learners to pass the AWS Certified AI Practitioner exam. Updated for the latest AIF‑C01 objectives, it covers artificial intelligence fundamentals, machine learning, deep learning and generative AI concepts, along with hands‑on practice using AWS services like Bedrock, Amazon Q and SageMaker. Before You Learn / Who This Course Is For Aimed at professionals preparing for the AWS Certified AI Practitioner exam Beginner‑friendly – no AWS, IT or AI background needed, though some IT knowledge helps What to Expect 14 sections, 150 lectures and roughly 10 hours of on‑demand video Hands‑on labs with Bedrock, Amazon Q, SageMaker and other AWS AI services Lessons on prompt engineering, model fine‑tuning and cost management Quizzes after each section, downloadable slides and a practice exam with explanations What You’ll Achieve Proficiency in using AWS AI services to build and evaluate AI solutions Preparation and confidence to pass the AWS Certified AI Practitioner exam