Neural Networks Courses

Skillspire's AI and Machine Learning course is a 16-week immersive program available both online nationwide and in-person in SeaTac, WA. It equips learners with essential skills in Python, TensorFlow, and cloud deployment across platforms like Azure and Google Cloud. The course offers a comprehensive dive into the AI workflow, from data acquisition to predictive modeling, with a capstone project solving real-world business problems. Before You Learn / Who This Course Is For Ideal for data analysts and software developers Suitable for career changers with math or programming background No prior AI experience required What to Expect 16-week full-time immersive program Hands-on projects with real-world tools like ChatGPT Covers entire data science workflow, including cloud deployment What You'll Achieve Professional Certificate of Completion The curriculum aligns with Microsoft Azure AI-900, DP-900, DP-100, and AWS AI Practitioner certification exam domains

The IMMUNE Technology Institute offers a 21-month Master in Cloud Architecture & DevOps Management, delivered online with a learning-by-doing approach. Students gain expertise in designing, automating, and managing cloud infrastructures using AWS, Azure, and Google Cloud. Key tools such as Docker, Kubernetes, Terraform, and Jenkins are taught in real-world settings, preparing participants for industry-recognized certifications. Before You Learn / Who This Course Is For Aspiring Cloud Architects and DevOps Managers Technical professionals seeking advanced cloud skills Basic understanding of cloud concepts recommended What to Expect 21-month online program with real-world projects Hands-on training with AWS, Azure, Google Cloud Learning-by-doing with Docker, Kubernetes, Terraform What You'll Achieve Preparation for AWS, Azure, Google Cloud certifications Skills in designing scalable, secure cloud infrastructures Career advancement in cloud architecture and DevOps

The Applied AI Engineer Bootcamp is a 20-week, part-time online program from Columbia Engineering Executive Education in collaboration with Fullstack Academy, with live classes and faculty-led masterclasses. Learners progress from Python and AI/ML foundations to generative AI, RAG, and multimodal applications, then to agentic AI, including MCP-enabled tools, single- and multi-agent systems, workflow automation, LLMOps, deployment, and governance. The program is project-based: learners build 10+ portfolio projects and a capstone using 35+ industry tools such as Claude, LangChain, LangGraph, n8n, CrewAI, and Hugging Face, with career coaching during the program and for a year after. Who This Course is For Tech professionals, recent graduates, career changers, and non-tech professionals Aspiring Applied AI Engineers, GenAI Engineers, and AI Solutions Consultants Requires basic math and statistics; prior work experience welcome but not required What to Expect Live online classes and office hours with Fullstack Academy instructors Masterclasses with Columbia Engineering faculty, plus hands-on labs and a capstone Self-paced coding prep course included for learners new to coding What You'll Achieve Joint certificate from Columbia Engineering Executive Education and Fullstack Academy Skills in prompt engineering, RAG, fine-tuning, MCP, multi-agent systems, and LLMOps Portfolio of 10+ projects and 1:1 career coaching for a year after graduation

The Emeritus Institute of Management offers a comprehensive online certificate program on artificial intelligence. This course covers foundational and advanced AI concepts, focusing on developing and refining machine learning models. Participants will explore real-world applications of AI in business through hands-on projects and expert-led sessions. Before You Learn / Who This Course Is For Designed for professionals in tech and business roles Ideal for those interested in AI applications No prerequisites required What to Expect Self-paced online format with flexible learning Hands-on projects developing AI models Explore AI trends and business applications What You'll Achieve Receive a certificate upon completion Develop skills in machine learning and AI Apply AI knowledge to business challenges

360DigiTMG's Professional Certification in Business Analytics is a comprehensive online program focusing on essential analytical skills. The course covers hypothesis testing, data mining, deep learning, neural networks, data analysis, and data visualization using Tableau. Designed with a hands-on approach, it equips learners with practical skills through project-based learning. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and business professionals 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 Tableau and data analysis tools Covers deep learning and neural network fundamentals What You'll Achieve Earn a professional certification in Business Analytics Gain skills in data mining and visualization Enhance career prospects in data-driven roles

The Data Analytics Bootcamp by TeachMeCode offers a comprehensive online learning experience focused on essential data analytics skills. This self-paced course covers Python programming, Flask web development, and database management. Learners also explore advanced topics like machine learning, deep learning, neural networks, and natural language processing through hands-on projects, preparing them for data-driven roles. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and developers No prerequisites required, open to beginners Suitable for technical and non-technical backgrounds What to Expect Self-paced online format for flexible learning Hands-on projects using Python and Flask In-depth exploration of machine learning and NLP What You'll Achieve Master Python and key data analytics tools Gain skills applicable to data-driven careers

Hubledge's Data Science Bootcamp is an intensive online program designed to equip learners with essential skills in data science. The curriculum covers Python, SQL, machine learning, AI, and tools like Power BI and Tableau. Through a project-based approach, students engage in hands-on learning, preparing them for real-world applications in data analysis and artificial intelligence. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; open to all skill levels Suitable for career changers in tech What to Expect Self-paced online format with project-based learning Hands-on practice with Python, SQL, and AWS Explore AI and machine learning techniques What You'll Achieve Comprehensive skills in data analysis and machine learning Ability to use tools like Power BI and Tableau Preparedness for data-centric career paths

Educative's Data Scientist bootcamp is a comprehensive, self-paced online program designed for aspiring data professionals. The course covers crucial topics such as data analysis, data engineering, predictive analytics, and machine learning. Participants will engage with tools like Numpy and Pandas through project-based learning to build practical skills in deep learning and neural networks. Before You Learn / Who This Course Is For Aspiring data scientists and analysts No prerequisites; suitable for beginners Ideal for career switchers and upskillers What to Expect Self-paced online format with flexible learning Hands-on projects using Numpy and Pandas Coverage of machine learning and deep learning What You'll Achieve In-depth understanding of data science principles Practical skills in predictive analytics Proficiency in neural networks and statistics

The MIT Sloan Artificial Intelligence in Health Care online short course delivers a six-week, fully online exploration of how AI and machine learning are transforming healthcare delivery, diagnosis, data analysis, and clinical workflows. Learners will gain foundational knowledge of AI techniques, from machine learning and neural networks to natural language processing, through practical modules and real-world case studies. Before You Learn / Who This Course Is For Health care professionals and leaders seeking to understand how AI can improve patient outcomes and organizational efficiency Data practitioners and technical specialists interested in applying machine learning and analytics within health contexts Managers and decision-makers aiming to evaluate or implement AI technologies responsibly in clinical or administrative settings What to Expect Six weeks of structured online learning with weekly modules covering AI fundamentals through to health-system optimization A blend of interactive content, case studies, assignments, and discussions tailored to working professionals Guidance from MIT Sloan and MIT Jameel Clinic faculty, exploring real-world AI applications in health care What You’ll Achieve A strong foundation in AI and machine learning concepts relevant to healthcare innovation An AI decision framework to assess the suitability of AI tools for specific healthcare challenges A digital certificate of completion from the MIT Sloan School of Management

The Oxford Artificial Intelligence Programme is a six-week online course from the University of Oxford’s Saïd Business School that provides a robust foundation in artificial intelligence fundamentals, including machine learning, deep learning, and generative AI, without requiring coding skills. Through flexible weekly modules, students will explore AI’s history, capabilities, ethical implications, and real-world business applications, gaining insight into how AI can create strategic value in organizations. Before You Learn / Who This Course Is For Business leaders and cross-functional managers seeking a practical understanding of AI Technical and non-technical professionals exploring AI’s organizational impact CIOs, IT managers, and analysts aiming to assess AI opportunities What to Expect Weekly modules covering AI ecosystems, machine learning, deep learning, and generative AI Insight into ethical, societal, and business implications of AI technologies What You’ll Achieve Strong conceptual understanding of AI fundamentals and key technologies Ability to identify organizational AI opportunities and build a business case A digital certificate from Oxford Saïd validating your expertise