Machine Learning Courses

Techademy's AI/ML Career Transition program is an online course ideal for those looking to shift careers into artificial intelligence and machine learning. The curriculum includes SQL, Python, NumPy, Pandas, as well as foundational and advanced topics in AI and ML. Delivered in a self-paced format, it combines theoretical knowledge with practical application through hands-on projects and exercises. Before You Learn / Who This Course Is For Ideal for career changers entering AI and ML fields Suitable for both technical and non-technical backgrounds No prerequisites required; open to all learners What to Expect Self-paced online format for flexible learning Hands-on projects using SQL, Python, NumPy, and Pandas Comprehensive coverage of AI and ML fundamentals What You'll Achieve Gain proficiency in AI/ML tools and methodologies Prepare for a career transition in AI and ML

Codelabs Academy offers a comprehensive 12-week online Data Science and AI bootcamp, focusing on Python, SQL, and machine learning. Participants will develop algorithms for computer vision and natural language processing in a structured, project-based format. This intensive program prepares learners for careers in tech by providing a solid foundation in both theoretical concepts and practical skills. Before You Learn / Who This Course Is For Open to beginners and career changers No prior programming experience required Ideal for aspiring data scientists and AI professionals What to Expect Intensive, project-based online format Focus on Python, SQL, and machine learning Hands-on algorithms for vision and NLP What You'll Achieve Strong foundation in data analytics and machine learning Skills in deep learning and NLP Preparation for tech career paths

Codelabs Academy offers an intensive Data Science and AI bootcamp available online, with options for full-time (12 weeks) or part-time (24 weeks) study. The course covers Python, SQL, and machine learning, guiding learners through algorithm development for vision and NLP. Designed for those pursuing a tech career, the program combines theoretical foundations with practical applications to build essential data science skills. Before You Learn / Who This Course Is For No prior programming experience required Ideal for career changers and beginners Suitable for those exploring tech careers What to Expect Intensive online bootcamp format Hands-on projects and practical applications Covers Python, SQL, and machine learning What You'll Achieve Gain foundational skills in data analytics and AI Develop algorithms for vision and NLP

The Deep Learning with AI bootcamp at Dallas Data Science Academy offers a comprehensive online learning experience for practicing data scientists. Participants will master tools such as Python, IBM Watson Analytics, and Spark. Delivered through hands-on projects and expert-led instruction, the program equips graduates with the skills to pursue roles like Chief Data Scientist or Machine Learning Engineer. A Microsoft Deep Learning with NLP/IBM - DL with AI Certificate is awarded upon completion. Before You Learn / Who This Course Is For Designed for practicing data scientists Ideal for those seeking advanced AI roles No specific prerequisites required What to Expect Online format with expert-led instruction Hands-on projects using Python, Spark, and more Career mentoring and resume preparation included What You'll Achieve Earn a Microsoft Deep Learning with NLP/IBM Certificate Gain skills for roles like Machine Learning Engineer

The Data Science course equips learners with essential skills for a data science career through hands-on projects and portfolio development. The course offers a comprehensive exploration of statistics, machine learning, and data processing using Python libraries like NumPy and Pandas. Delivered online, participants will engage with real-world datasets and tools, ensuring practical understanding and readiness for industry challenges. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Suitable for both technical and non-technical backgrounds What to Expect Online, self-paced learning with hands-on projects Utilize Python libraries: NumPy, Pandas, Matplotlib Collaborate using Git and cloud services What You'll Achieve Create multiple portfolio pieces showcasing skills Master data processing including time series and NLP Develop practical, industry-ready data science skills

ProGrad's Microdegree offers a comprehensive online program designed for aspiring coders seeking to enhance their undergraduate studies. The course focuses on mastering in-demand skills like web development, Python, and AI through project-based learning. Students will engage in hands-on activities to build robust applications and impressive portfolios, positioning them for success in tech-related careers and global competitions. Before You Learn / Who This Course Is For Aspiring coders looking to enhance their skills Ideal for undergraduate students No specific prerequisites required What to Expect Self-paced online learning format Project-based activities and hands-on coding Access to global coding competitions What You'll Achieve Mastery in web development, Python, AI, and ML Portfolio showcasing developed projects Preparation for tech careers and competitions

Neue Fische's Data Part-Time Bootcamp provides a comprehensive overview of data roles, including data engineering, analytics, and science. This online, part-time course is designed to fit into busy schedules, running in the mornings. It emphasizes practical skills in data management and stakeholder communication through project-based learning. Before You Learn / Who This Course Is For Ideal for working professionals and parents No prerequisites required Suited for aspiring data engineers, analysts, and scientists What to Expect Part-time, online format with morning sessions Focus on project-based learning and real-world applications Covers data engineering, analytics, and stakeholder communication What You'll Achieve Gain cross-functional data skills Enhance project management and communication abilities

The 12-month intensive Computer Science program is designed for tech enthusiasts aiming to become proficient software engineers. Delivered online, this course offers a holistic experience, covering key computer science principles through project-based learning. Students will engage in hands-on activities to build practical skills essential for a successful career in technology. Before You Learn / Who This Course Is For Ideal for tech enthusiasts and aspiring software engineers Suitable for beginners; no prior experience required Designed for those committed to a year-long program What to Expect Online, project-based learning over 12 months Hands-on coding practice and real-world projects Comprehensive coverage of computer science fundamentals What You'll Achieve Develop essential skills for a software engineering career Gain practical experience through intensive projects

The "Mastering Applied Data Science + Deep Learning" course is a project-driven, online program focusing on practical data science skills. Students will learn data collection via web scraping, model comparison using machine learning and deep learning algorithms, and advanced topics like recommender systems and computer vision. Delivered through hands-on projects, this course emphasizes real-world applications and requires students to present their findings and solutions to business problems. Before You Learn / Who This Course Is For Designed for aspiring data scientists Ideal for learners with a basic understanding of programming No advanced prerequisites required What to Expect Project-based learning with real-life business cases Hands-on practice with data collection and model analysis Engagement with advanced AI topics like NLP and computer vision What You'll Achieve Practical skills in data science and deep learning Experience in solving real-world business problems

Board Infinity's Artificial Intelligence with Machine Learning Bootcamp is an immersive, online program designed to equip students with essential AI and ML skills. Participants will master Python, deep learning frameworks, and tools like TensorFlow and Keras. The course covers advanced topics such as computer vision, NLP, and cloud deployment, offering hands-on projects to ensure practical understanding. Before You Learn / Who This Course Is For Open to both technical and non-technical learners Ideal for aspiring data scientists and AI enthusiasts No prerequisites required What to Expect Online format with self-paced modules Hands-on projects using Python and TensorFlow Covers NLP, computer vision, and cloud deployment What You'll Achieve Master AI and ML tools like Keras and Anaconda Develop skills in supervised and unsupervised learning Prepare for roles in data science and AI fields