Machine Learning Courses

Immune Institute's 11-month Master in Cloud Computing equips learners with practical skills in cloud architecture, DevOps, SRE, and more. Delivered online, the program includes hands-on projects and personalized mentorship. Students gain expertise in building sustainable digital infrastructures and prepare for AWS certifications, enhancing their professional marketability. Before You Learn / Who This Course Is For Ideal for aspiring cloud professionals and tech enthusiasts Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect 11-month online program with hands-on projects Focus on cloud architectures, DevOps, and cost optimization Personalized mentorship and professional support What You'll Achieve Preparation for AWS certifications Proficiency in building digital infrastructures Enhanced profile for the tech job market

Fireblaze AI School offers a Data Science and Machine Learning Specialization Program, providing over 70 hours of interactive online learning. This bootcamp covers essential skills like Python, Numpy, and Pandas, focusing on data wrangling, SQL, and machine learning. Students engage in hands-on projects and industry-based use cases, exploring both supervised and unsupervised learning techniques, alongside descriptive and predictive statistics. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and machine learning engineers Technical background beneficial but not required English proficiency recommended What to Expect 70+ hours of interactive online learning Hands-on projects and industry-based use cases Covers Python, Numpy, Pandas, SQL, and Tableau What You'll Achieve Master data wrangling and machine learning techniques Gain skills in Python programming and data visualization

The Interdisciplinary Internship for AI & Data Science is a comprehensive online program designed to equip learners with skills in Python, AWS, full stack and mobile development, AI, DevOps, and QA testing. This self-paced course emphasizes hands-on projects and real-world applications, providing practical experience in a variety of technical domains. Ideal for those seeking a robust understanding of the latest technological tools and practices. Before You Learn / Who This Course Is For Designed for aspiring developers and data scientists Suitable for both technical and non-technical backgrounds No prerequisites required, just a passion for learning What to Expect Self-paced online format with flexible scheduling Hands-on projects in AI, mobile, and full stack development Access to industry-standard tools like Python and AWS What You'll Achieve Gain practical skills in AI, DevOps, and QA testing Build a portfolio of completed projects Enhance career prospects in tech and data science

BrainStation’s Artificial Intelligence Certification (AIC™) is a hands-on, online program for those interested in AI and generative AI. This non-technical course focuses on AI fundamentals, large language models, and prompt engineering through real-world projects. Taught by industry professionals, it emphasizes practical applications like content creation and data analysis, integrating ethics and privacy considerations. Learners will graduate with a portfolio piece demonstrating their applied AI skills. Before You Learn / Who This Course Is For Open to learners from all backgrounds Ideal for those curious about AI applications No coding or technical experience required What to Expect Hands-on projects with real-world case studies Focus on AI fundamentals and prompt engineering Guidance on ethics, privacy, and bias What You'll Achieve A portfolio piece showcasing AI skills Understanding of AI and machine learning fundamentals Ability to integrate AI tools into daily tasks

The Agentic AI Certification Training Course equips learners to design, build, and deploy autonomous AI agents using cutting-edge frameworks like LangChain, LangGraph, CrewAI, and AutoGen. Over five weeks (plus bonus self‑paced modules), students engage in live sessions and hands-on projects and receive mentor guidance to master agentic architecture, multi-agent systems, retrieval-augmented generation (RAG), and AI observability. Before You Learn / Who This Course Is For AI/ML practitioners, developers, or enthusiasts seeking to specialize in autonomous agents Individuals with foundational knowledge in Python, machine learning, prompts, and generative AI Professionals aiming for roles like LLM engineer, AI agent engineer, or generative AI architect What to Expect Live instructor-led classes over five weeks, with weekend or weekday batches Hands-on projects covering agentic AI essentials, architecture, multi-agent systems, RAG, and AI observability Access to recordings, lifetime course updates, 24/7 support, quizzes, and assignments What You’ll Achieve A certificate from Edureka, along with lifetime access to the course content and updates

Edureka’s Generative AI Master’s Program is a 150-hour online curriculum designed to fast-track your expertise in generative models, data science, and agentic AI. Students will master core foundations, such as Python, machine learning, natural language processing, and deep learning, before advancing to topics like large language models, RAG, multi-agent systems, and architecture design. Students will have access to hands-on projects and more than 50 labs. Before You Learn / Who This Course Is For Individuals with some programming and machine learning foundation seeking to specialize in generative AI (even intermediate users) Professionals aiming to transition into roles like prompt engineer, AI engineer, or generative systems developer Learners who want a structured, project-driven curriculum What to Expect Integrated modules combining theory, labs, and projects spanning Python, NLP, LLMs, prompt design, and agentic systems 5+ end-to-end projects and 50+ hands-on labs to build a portfolio with real applications Flexible pacing with lifetime access to course materials and updates What You’ll Achieve Proficiency in designing prompts, building generative systems, deploying RAG pipelines, and working with agentic architectures A polished project portfolio demonstrating end-to-end GenAI applications A certification from Edureka validating your skills and enhancing market credibility

Ironhack's Data Science and Machine Learning course is an online, self-paced program designed for aspiring data professionals. It focuses on tapping into data insights, predicting trends, and building AI models. The course offers practical learning through hands-on projects, preparing students for roles such as Junior Data Scientist, ML Engineer, or NLP Engineer. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and engineers Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Self-paced online learning format Hands-on projects in AI and data prediction Explore specializations like NLP and Computer Vision What You'll Achieve Skills in AI model building and data analysis Preparation for roles like ML Engineer, NLP Engineer

Ironhack's Data Science and Machine Learning course offers an in-depth exploration of data science fundamentals and machine learning applications. Delivered online, this course covers Python programming, data handling essentials, and foundational machine learning concepts. Through hands-on projects and expert-led instruction, learners gain practical skills applicable to real-world scenarios. Before You Learn / Who This Course Is For Open to technical and non-technical backgrounds Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Online format with flexible scheduling Hands-on projects using Python and data tools Expert-led sessions for practical learning What You'll Achieve Foundational skills in data science and machine learning Proficiency in Python and data handling Applicable skills for data-driven careers

Coding Dojo's Data Science & Visualization Bootcamp is a 20-week, part-time online program. It includes a 16-week focus on data science and machine learning, followed by a 4-week specialization in data visualization using Tableau. The course covers the entire data science process, emphasizing practical application and project-based learning. Students will gain skills in data preparation, analysis, and the use of machine learning algorithms to solve complex problems. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; all levels welcome Suitable for professionals seeking career advancement in data science What to Expect 20-week part-time online format Hands-on projects and real-world applications Focus on data visualization and machine learning What You'll Achieve Portfolio of projects showcasing data science skills Comprehensive understanding of data science processes Ability to apply machine learning algorithms effectively

The Sensor Fusion Engineer Nanodegree program is an online, self-paced course designed to teach the fundamentals of sensor fusion and perception for self-driving cars. Through four comprehensive courses, students engage in project-based learning to master essential skills for the autonomous vehicle industry. The program provides hands-on experience with industry-standard tools and techniques, ensuring learners gain practical knowledge applicable in real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring engineers in autonomous vehicles Ideal for learners with programming experience No specific prerequisites required What to Expect Self-paced online learning format Project-based assignments using real-world data Hands-on practice with sensor fusion techniques What You'll Achieve Gain competencies in sensor fusion for autonomous vehicles Acquire skills applicable to the automotive industry