TensorFlow Courses

Holberton School offers an intensive on-site program aimed at equipping learners with the skills needed to become proficient Machine Learning Software Engineers. The curriculum begins with a 9-month Foundations program covering essential programming and development skills. Following this, students specialize in Machine Learning, delving into neural networks, learning methodologies, and frameworks like Tensorflow and Keras. This hands-on, project-based approach ensures practical understanding and application of skills in real-world scenarios. Before You Learn / Who This Course Is For Aspiring Machine Learning Software Engineers Open to those passing the admissions process Ideal for individuals seeking intensive, hands-on learning What to Expect 9-month on-site intensive program Hands-on projects and real-world applications Focus on neural networks, Tensorflow, and Keras What You'll Achieve Mastery of Machine Learning techniques Proficiency in Python, databases, and DevOps Skills applicable to a career in machine learning

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

Zindua School's Artificial Intelligence Specialisation is a part-time, 12-week program designed for data scientists eager to advance beyond classical machine learning. Delivered online, the course covers deep learning, generative AI, and practical applications using TensorFlow, Keras, and LangChain. Participants engage in hands-on projects, culminating in an end-to-end GenAI capstone, equipping graduates with a portfolio of production-ready AI solutions. Before You Learn / Who This Course Is For Designed for practicing data scientists Ideal for those expanding beyond classical ML No specific prerequisites listed What to Expect Part-time, 12-week online format Hands-on projects with TensorFlow and Keras Capstone project featuring end-to-end GenAI What You'll Achieve Portfolio of production-ready AI projects Skills in designing and deploying DL systems

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

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

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

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