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
4.93
This online program delves into the fundamentals of data science, artificial intelligence, and machine learning. Students engage in hands-on learning using tools like Python and Google Colab, fostering practical skills through interactive projects. The course is designed to provide a comprehensive understanding of these technologies, enabling learners to apply their knowledge effectively. Before You Learn / Who This Course Is For Suitable for both technical and non-technical audiences Ideal for aspiring data scientists and AI enthusiasts No prerequisites required What to Expect Self-paced online format for flexible learning Hands-on projects using Python and Google Colab Focus on practical application of data science tools What You'll Achieve Gain foundational skills in data science and AI Learn to use Python for data analysis
Great platform for learning!
I would highly recommend this course and the Great Learning platform to professionals and students who want to learn new skills, enhance their careers, or expand their knowledge. It is a wonderful program designed and managed by Great Learning, and they truly delivered on everything they committed to. The program covered all the major topics in Data Science and Generative AI in great depth, wit...
Read course reviewsAI for Business Course
Featured5.0
Dive into the world of Artificial Intelligence tools with WBS Coding School's transformative AI for Business Course. Tailor AI’s groundbreaking capabilities to your unique professional landscape, mastering everything from content generation to analytics, coding, teamwork, and project management. Before You Learn / Who This Course Is For No programming prerequisites required What to Expect This is not a programming or engineering course but a universal upskilling opportunity, complete with access to ChatGPT Plus and 300 hours of immersive, live instruction. What You'll Achieve Acquire a skill set that you can apply in any industry and become a vanguard of the AI era
Very satisfied, would recommend
Structure of the course was very well made, starting with theory and small bit of information and small implementation task every day, and building up to bigger projects which include different skills and methods learned, The projects are very relevant and valuable for life outside the classroom, skills learned are very practical. The instructor was very helpful every step of the way.
Read course reviews5.0
The Machine Learning Masterclass is an online, self-paced course focused on advanced data science techniques. Students will explore Python programming, data visualization, and various machine learning methodologies including linear regression, neural networks, and reinforcement learning. Through project-based learning, participants will gain practical experience and deepen their understanding of machine learning concepts. Before You Learn / Who This Course Is For Designed for aspiring data scientists and analysts Ideal for technical professionals seeking advanced skills Basic understanding of programming recommended What to Expect Self-paced online course with flexible learning schedule Hands-on projects and real-world applications Focus on Python, data visualization, and machine learning What You'll Achieve Comprehensive understanding of machine learning techniques Proficiency in Python and data visualization Skills applicable to data science careers
Corsi Eccellenti nel campo della data analisys e e AI
Ho seguito diversi corsi di datamaster e devo dire che sono tutti ben organizzati e molto interessanti per tutti quelli che vogliono approfondire i tanti argomenti nel mondo ai e dati. consigliato
Read course reviews4.57
Udacity's Deep Reinforcement Learning Nanodegree offers a comprehensive online course designed to build foundational AI skills. Students will explore classical AI techniques, including Markov decision processes and value functions, and delve into dynamic programming and Monte Carlo methods. The curriculum emphasizes hands-on learning with real-world applications, providing a deep dive into temporal-difference methods and deep reinforcement learning strategies. Before You Learn / Who This Course Is For Ideal for aspiring AI engineers and data scientists No prerequisites required; open to all levels Suitable for those interested in AI applications What to Expect Self-paced online format with flexible learning Hands-on projects using real-world scenarios In-depth exploration of AI techniques and methods What You'll Achieve Certificate of completion from Udacity Mastery of deep reinforcement learning techniques Skills applicable to AI and machine learning careers
Unique way of Teaching AI with Hands-on
Initially i was thinking am i able to get this first project complete -AI Navigator using Deep Q learning since mostly algorithms and some advanced concepts but i made it in just 1 month itself because the way the concept explained with supportive code base and the course structure is awesome. Basically if we understand the concept right we can make it in any Language since only syntax is diffe...
Read course reviews4.6
Udacity’s Intro to Machine Learning Nanodegree is a self-paced, online program focused on foundational and advanced machine learning techniques. Students will explore supervised and unsupervised learning, delving into algorithms like linear regression, decision trees, and neural networks. The course emphasizes hands-on learning through Python libraries such as PyTorch and scikit-learn, equipping learners with the practical skills needed for real-world applications. Before You Learn / Who This Course Is For Designed for aspiring data scientists and analysts Basic programming knowledge recommended Ideal for those interested in AI and machine learning What to Expect Self-paced, online learning format Hands-on projects using Python libraries In-depth exploration of machine learning algorithms What You'll Achieve Develop practical machine learning models Gain skills in supervised and unsupervised learning Enhance career prospects in data science
Nano Degree: intro to machine learning
This program contains a lot of information to make you started with machine learning, I have learnt a lot, as always udacity does a good job in guiding you through the program. Very happy with the results
Read course reviews4.67
The Big Data & Gen AI Bootcamp is a five-month, part-time program designed to develop key data analyst skills. It offers online, project-based learning, starting with foundational programming and data concepts. Participants will explore Generative AI applications and prepare for Databricks certifications. The course concludes with job readiness training, equipping students for roles in big data. Before You Learn / Who This Course Is For Aspiring data analysts and engineers Ideal for those seeking a career in big data No prior experience required What to Expect Part-time, online, project-based learning Generative AI applications and Databricks prep Job readiness training and support What You'll Achieve Prepare for Databricks Data Analyst certification Develop skills in AI and data engineering Gain job-ready expertise in big data
a course which may change your life
Before enrolling in the bootcamp at Danger Education, I was working as an AML analyst at a small to medium-sized Chinese bank. Unfortunately, my experience there was marred by discrimination from my line manager, leading to numerous instances of unfair treatment. This period was one of the most challenging times in my life. One day, a senior colleague recommended that I study data science to be...
Read course reviews4.5
Nexademy's Data Analytics course offers comprehensive insights into machine learning, NLP, and deep learning. Delivered online, this self-paced program emphasizes experimental design and practical application through hands-on projects. Learners will use tools like R and Python to build effective data solutions, gaining essential skills for analytics-driven roles. Before You Learn / Who This Course Is For Suitable for both technical and non-technical learners Ideal for aspiring data analysts and scientists No prerequisites required What to Expect Self-paced online format for flexible learning Hands-on projects using R and Python Focus on machine learning and NLP applications What You'll Achieve Advanced skills in data analytics and solution building Proficiency in R and Python for data analysis
Intense, complete and interesting
The part-time Data Science Bootcamp was intense and, sometimes, the time was not enough to cover all the topics in details, but it was complete and interesting with many practical sessions to use the techniques previously learnt. The instructors were always available to answer our (many) questions and helped when necessary, leaving everyone enough room to try on their own to find a suitable sol...
Read course reviews4.0
Data-Flair’s Hadoop and Spark Developer Course offers in-depth theoretical knowledge combined with practical skills through real-time project implementations. This online course is designed for learners seeking to master Hadoop and Spark frameworks, providing comprehensive insights into big data processing and analytics through hands-on experiences. Before You Learn / Who This Course Is For Designed for aspiring data engineers and developers Ideal for individuals with basic programming knowledge No prior big data experience required What to Expect Self-paced online format for flexible learning Hands-on projects with real-time data sets In-depth exploration of Hadoop and Spark tools What You'll Achieve Gain proficiency in Hadoop and Spark frameworks Develop practical big data processing skills Prepare for data engineering roles
Java Advanced
This Java course provided a strong foundation in both core and advanced concepts. The explanations were clear, practical, and easy to follow, even for complex topics like OOP, collections, and exception handling. The hands-on projects really helped me apply what I learned in real-world scenarios. I’d highly recommend it to anyone looking to strengthen their Java programming skills.
Read course reviews5.0
Fullstack Academy's AI & Machine Learning Bootcamp offers an immersive, hands-on learning experience focused on developing essential skills to launch a career in AI and machine learning. The program is delivered online and includes comprehensive training to gain proficiency in machine learning, deep learning, natural language processing, GenAI, Agentic AI, and MLOps concepts, and key tools like Python, Keras, LangChain, and TensorFlow. Participants will engage in practical projects, to train on solving real-world scenarios. Career coaching is also provided to support job searches in roles such as AI Engineer and Data Scientist. Before You Learn / Who This Course Is For Ideal for aspiring AI Engineers, ML Engineers, and Data Scientists Technical background beneficial but not mandatory Required qualifications: 18+, have earned a high school diploma or GED equivalent Have prior knowledge or experience in programming and/or intermediate mathematics (including linear algebra, probability and statistics) What to Expect Online, immersive format with hands-on projects Training in Python, TensorFlow, LangChain, and MLflow Practical exercises in deep learning and NLP Dedicated career coaching for job search support What You'll Achieve Proficiency in GenAI, Agentic AI, MLOps, LLMs and more Skills in deep learning and natural language processing Preparation for roles like AI Engineer and Data Scientist - AI/ML
Solid Bootcamp Experience
The live online sessions were convenient for me. Instructors were knowledgeable and open to questions, and the environment felt supportive. The program started with fundamentals and gradually built into more advanced topics like deep learning, generative AI, and MLOps. We worked with multiple tools in actual projects rather than just watching demos. Overall, it was well-structured. I’d recommen...
Read course reviews5.0
The Power MBA's Data Analytics course is a 16-week, self-paced online program focusing on data analysis, data modeling, and programming languages like Python and R. Tailored for Business Intelligence applications, the course includes 11 modules with 15-minute classes and live mentorship sessions. Students engage in project-based learning, utilizing tools to create reports and visualizations, supported by a global community and industry professionals. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and BI professionals Business Intelligence focus with no prerequisites Suitable for both technical and non-technical learners What to Expect Self-paced 16-week online program Project-based learning with live mentorship Access to a global community and networking events What You'll Achieve Proficiency in data analysis and modeling techniques Ability to create impactful BI reports and dashboards
Excellent
The experience was indeed excellent. I enjoyed every phase of the session especially the hands on practices which helps to understand the concept better. The curriculum was designed in a way that it starts from basic and helps to till advance. The instructor gave us sufficient time to practice the concept parallely during Feb sessions
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