TensorFlow Courses
TensorFlow is an open-source platform developed by Google Brain for machine learning and artificial intelligence. It is used in numerical computation and large-scale machine learning. TensorFlow can be used with programming languages, such as JavaScript, Python, Java, and C++. TensorFlow has a full ecosystem of tools, libraries, and community resources. It allows data scientists to easily build... Read more Read less
TensorFlow is an open-source platform developed by Google Brain for machine learning and artificial intelligence. It is used in numerical computation and large-scale machine learning. TensorFlow can be used with programming languages, such as JavaScript, Python, Java, and C++. TensorFlow has a full ecosystem of tools, libraries, and community resources. It allows data scientists to easily build and deploy machine learning-powered applications.
27 TensorFlow Courses
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The Machine Learning Developer bootcamp is an immersive, online program focusing on essential skills like data scraping, Python, AWS, Docker, Numpy, and Tensorflow. Designed for aspiring machine learning professionals, the course combines theoretical knowledge with practical applications to align with business objectives. Participants will engage in hands-on projects to solidify their understanding and readiness for real-world challenges. Before You Learn / Who This Course Is For Ideal for aspiring machine learning professionals Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect Online delivery with hands-on projects Covers Python, AWS, Docker, and Tensorflow Focus on aligning skills with business objectives What You'll Achieve Develop practical machine learning skills Learn data scraping and model deployment Gain career-ready expertise in essential tools
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This online, self-paced course prepares students for a career in machine learning. It covers essential machine learning concepts and techniques through project-based learning and practical exercises. Learners gain hands-on experience with popular tools and frameworks used in the industry, ensuring a comprehensive understanding of machine learning applications. Before You Learn / Who This Course Is For Designed for aspiring machine learning professionals Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using industry-standard tools Access to community forums for peer collaboration What You'll Achieve Certificate of completion upon finishing the course Proficiency in key machine learning techniques Skills applicable to various data-driven roles
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This course offers practical preparation for careers in AI and machine learning. Delivered online, it provides a blend of live instruction and self-paced study, focusing on hands-on projects and real-world applications. Students will learn essential AI and ML tools and techniques, enhancing their skills for future career opportunities. Before You Learn / Who This Course Is For Open to aspiring AI and ML professionals Ideal for technical enthusiasts and career switchers No prerequisites; basic programming knowledge beneficial What to Expect Combination of live and self-paced online sessions Hands-on projects and real-world applications Collaborative learning with peer interaction What You'll Achieve Certificate of completion for career advancement Proficiency in AI and ML tools Skills applicable to various tech roles
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The IMMUNE Technology Institute offers a comprehensive degree in Software Development Engineering, focusing on transforming ideas into scalable products. This hands-on program involves building real software, covering backend, frontend, APIs, and more. With a full-stack approach and modern methodologies, students receive mentorship and engage in real-world projects, preparing them for successful careers in software development. Before You Learn / Who This Course Is For Aspiring software developers and engineers Ideal for those interested in full-stack development No prerequisites required; learning by doing approach What to Expect Hands-on learning with real-world software projects Focus on backend, frontend, APIs, and microservices Mentorship and industry collaboration opportunities What You'll Achieve Develop a professional software portfolio Gain skills in scalable product development Become a versatile full-stack developer
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Hofstra University's AI for Software Engineers Bootcamp is a 14-week online program focused on equipping software engineers with essential AI skills. The bootcamp offers live, instructor-led sessions, 1:1 coaching, and comprehensive career services. Participants will gain hands-on experience with AI frameworks and learn to integrate AI into the software development lifecycle, enhancing their expertise in ethical AI strategies and real-world applications. Before You Learn / Who This Course Is For Ideal for software engineers and developers Career boosters seeking AI integration skills No prerequisites required; digital specialists welcome What to Expect Live, online, instructor-led sessions Hands-on projects with real-world scenarios Comprehensive career services and flexible payment plans What You'll Achieve Industry-recognized AI skills for software development Ability to integrate AI across development stages
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Zero to Mastery's Data Analyst Bootcamp is an online, self-paced course that provides comprehensive training in data analysis. Learners will explore Python, TensorFlow, AI, machine learning, Pandas, and data science through project-based learning. This course is designed to equip participants with the necessary skills to excel in data-driven roles. Before You Learn / Who This Course Is For Open to both technical and non-technical individuals Ideal for aspiring data analysts and scientists No prerequisites required What to Expect Self-paced online format for flexible learning Project-based activities using Python and TensorFlow In-depth exploration of AI and machine learning What You'll Achieve Mastery of data analysis tools like Pandas and TensorFlow Skills applicable to data-driven careers
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Edureka’s six‑month Post Graduate Program in Generative AI and Machine Learning, created in collaboration with Illinois Tech, teaches Python fundamentals, machine learning, deep neural networks, natural language processing, generative models, prompt engineering, LLM‑powered application development, agentic AI, AI‑driven software engineering, and LLMOps. Students work on nine industry projects, 15 real‑world use cases and over 100 hands‑on labs, culminating in a capstone project. The program features live weekend classes, self‑paced modules, 24/7 support, career coaching, and a joint certificate, preparing graduates for roles in AI engineering and research. Before You Learn / Who This Course is For Designed for professionals with an undergraduate degree seeking to become AI engineers, ML engineers or data scientists No prior AI experience required; a strong foundation in basic programming and math is helpful What to Expect Curriculum covering Python, machine learning, deep learning, NLP, generative AI, prompt engineering, LLM application development, agentic AI, AI‑driven software engineering and MLOps Nine industry projects, 15 use cases, 100+ labs and a capstone project for hands‑on experience Live instructor‑led sessions supplemented by recorded lectures, self‑paced study materials and 24/7 support Develop competence in building and fine‑tuning generative models, large‑language‑model applications and AI agents Career assistance including webinars, résumé and LinkedIn optimization, mock interviews, one‑on‑one mentoring and access to job portals What You’ll Achieve Joint certificate from Edureka and Illinois Tech upon completion of all courses Portfolio of projects and confidence to pursue roles like generative AI engineer, prompt engineer, AI research scientist and machine learning engineer