987 results
987 results
Explore courses, coaching and communities alongside independent reviews and available community feedback.
Ibm ai engineering professional certificate
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The IBM AI Engineering Professional Certificate is a comprehensive program designed to prepare students for careers in artificial intelligence and machine learning engineering. This hands-on specialization covers the full spectrum of AI engineering including machine learning, deep learning, neural networks, and computer vision using industry-standard tools and frameworks. Students gain practical experience with Python, TensorFlow, Keras, PyTorch, OpenCV, and IBM Watson AI services. The curriculum includes 6 courses covering machine learning fundamentals, deep neural networks, computer vision, recurrent neural networks, building AI applications, and capstone projects. Students learn to build, train, test, and deploy AI models, work with image and sequence data, implement CNNs and RNNs, and create end-to-end AI applications. The program emphasizes real-world applications with hands-on labs, industry-relevant projects, and practical assignments using IBM Cloud and Watson services. Upon completion, students receive an industry-recognized certificate and are prepared for roles such as AI Engineer, Machine Learning Engineer, and Deep Learning Engineer. Approximately 3-4 months at 10 hours/week. No prior AI experience required, but programming experience recommended.
Fast.ai practical deep learning for coders
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fast.ai Practical Deep Learning for Coders is a comprehensive, hands-on course designed to teach deep learning from a practical perspective. Created by Jeremy Howard and Rachel Thomas, this course focuses on getting students building and training state-of-the-art models from day one, using a top-down teaching approach. The curriculum covers computer vision, natural language processing, tabular analysis, and collaborative filtering using the fastai library and PyTorch. Students learn to build and deploy real-world applications including image classification, object detection, text generation, recommendation systems, and time series analysis. The course emphasizes practical application over mathematical theory, making deep learning accessible to programmers without extensive academic background. Key topics include transfer learning, data augmentation, model interpretation, deployment strategies, and ethical considerations in AI. The course is completely free and includes extensive hands-on coding exercises, real datasets, and practical projects. Students learn to achieve competitive results with minimal code and understand when and how to apply different techniques. Approximately 7 weeks with 10+ hours of video content and extensive practical exercises. No prerequisites beyond basic programming knowledge.
Deeplearning.ai deep learning specialization
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The Deep Learning Specialization by DeepLearning.AI is a comprehensive 5-course program that provides foundational knowledge in deep learning and neural networks. Created by Andrew Ng and taught by world-class instructors, this specialization helps students understand the capabilities, challenges, and consequences of deep learning while preparing them for AI technology development. The curriculum covers building and training neural network architectures including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. Students learn optimization strategies like Dropout, BatchNorm, Xavier/He initialization, and best practices for training and test sets. The program includes hands-on projects using Python and TensorFlow, tackling real-world applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, computer vision, and neural style transfer. Students gain practical experience with bias/variance analysis, transfer learning, multi-task learning, and modern techniques including HuggingFace tokenizers and transformers for Named Entity Recognition and Question Answering. Approximately 3-4 months to complete at 10 hours/week. Includes career advice from industry and academic experts.
Google ai essentials
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Google AI Essentials is a comprehensive self-paced program designed to help people across all roles and industries develop practical AI skills to boost productivity. Created by AI experts at Google, this beginner-friendly course requires zero prior experience and can be completed in under 10 hours. The program goes beyond theory to teach real-world applications including using AI tools for content generation, project planning, research, organization, and workflow automation. Students learn to write effective prompts, use AI responsibly, and leverage generative AI tools for text and image creation. The course covers practical workplace scenarios like email drafting, event planning, idea generation, and decision-making support. Upon completion, participants earn a Google certificate to share with employers and professional networks. The program emphasizes AI as a collaborative tool for workplace success.
Galaxy project bioinformatics training
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Comprehensive open-source bioinformatics training platform providing 8,000+ tools for genomics, proteomics, and computational biology analysis. Features hands-on tutorials for BLAST, FastQC, RNA-seq analysis, variant calling, and genomic annotation. Community-driven platform with tutorials created by leading bioinformatics researchers and institutions worldwide. Supports reproducible research with workflow sharing, containerized tools, and automated analysis pipelines. Perfect for researchers transitioning to computational biology or learning advanced genomics analysis techniques. Integrated with major data repositories and supports cloud-based analysis for scalable research.
Advanced course on AI workflow automation designed for business professionals and executives who want to implement AI-driven automation solutions using n8n platform. Led by expert instructor Morten Rand-Hendriksen, this course covers workflow design, AI agent implementation, business process automation, and integration strategies. Features practical examples for executives, operations managers, and business professionals who want to leverage no-code AI solutions for productivity improvements. Perfect for leaders driving operational efficiency through AI automation. Includes modules on workflow architecture, API integration, error handling, and scaling automated processes. Features hands-on projects with real business scenarios, implementation templates, and best practices for enterprise deployment. Duration: 4-5 hours of hands-on video content with downloadable workflow templates and automation guides.
Comprehensive course on NIST AI Risk Management Framework designed for executives, compliance officers, and senior leaders responsible for AI risk management and regulatory compliance. Led by expert instructor Lyron Andrews, this course covers NIST AI RMF implementation, risk assessment methodologies, governance structures, and regulatory compliance strategies. Features practical frameworks for Chief Risk Officers, General Counsel, and senior executives responsible for AI oversight. Includes real-world case studies, implementation templates, and best practices for building compliant AI programs. Perfect for executives navigating AI regulations, risk management, and organizational governance. Covers integration with existing risk management frameworks and stakeholder engagement strategies. Duration: 3-4 hours of video content with downloadable implementation guides and compliance checklists.
IESE Business School specialized course designed for MBA students and business professionals who need comprehensive understanding of AI applications in business strategy, operations, and management. Covers strategic AI planning, organizational transformation, international business implications, and leadership in AI-driven organizations. Led by IESE faculty with global business expertise and real-world case studies from multinational corporations. Perfect for MBA students, recent MBA graduates, business consultants, and executives pursuing advanced business education. Includes modules on AI ethics in global business, cross-cultural AI implementation, regulatory considerations, and managing international AI initiatives. Features interactive case studies, peer discussions, and strategic analysis projects. Duration: 4-6 weeks intensive online learning. Includes IESE Business School and Coursera co-branded certificate with academic credit recognition.
University of Leeds executive education program designed for business leaders who need to understand AI impact on business models, industry transformation, and strategic planning for the AI-driven future. Covers AI trends analysis, business model innovation, competitive strategy, and long-term planning for AI adoption. Features University of Leeds faculty and industry experts with global perspectives on AI business transformation. Designed for CEOs, Strategic Planning Directors, and senior executives responsible for long-term business strategy. Includes modules on industry disruption analysis, future scenario planning, stakeholder management, and building adaptive organizations. Features peer discussions with international business leaders, case study analysis, and strategic planning exercises. Duration: 4-6 weeks online learning with flexible scheduling. Includes University of Leeds certificate and continuing professional development credits.
NVIDIA executive education program designed for business leaders who need to understand AI hardware, software, and strategic implementation for enterprise AI initiatives. Covers GPU-accelerated computing, AI infrastructure planning, performance optimization, and strategic deployment of AI solutions. Features NVIDIA technical experts and industry partners with real-world case studies from enterprise AI implementations. Designed for CTOs, Infrastructure Leaders, and senior executives responsible for AI technology strategy. Includes modules on AI hardware selection, data center planning, cloud vs on-premise considerations, and cost optimization for AI workloads. Features hands-on experience with NVIDIA AI platforms, peer networking with other technology leaders, and strategic planning workshops. Duration: 1-2 day intensive program with optional virtual follow-up. Includes NVIDIA certification and ongoing technical support access.
Amazon Web Services executive education program designed for business leaders implementing AI and machine learning solutions using AWS cloud services. Covers AWS AI services portfolio, strategic implementation, cost optimization, and business case development for cloud-based AI solutions. Features AWS solution architects and industry experts with real-world case studies from AWS enterprise customers. Designed for CTOs, Chief Architects, and senior executives responsible for cloud and AI strategy. Includes modules on AWS AI service selection, architecture design, security and compliance, and ROI measurement for cloud AI implementations. Features hands-on workshops with AWS AI services, peer learning with other enterprise customers, and strategic planning sessions. Duration: 2-day intensive workshop with optional virtual follow-up sessions. Includes AWS certification path guidance and ongoing technical support.
Microsoft-developed course designed for business professionals and executives who want to understand AI agent development and implementation for business applications. Covers AI agent fundamentals, business use cases, implementation strategies, and practical applications for workflow automation. Led by Microsoft Developer team with real-world examples from enterprise implementations. Perfect for executives, managers, and business professionals who want to leverage AI agents for productivity improvements and business process automation. Includes modules on agent architecture, integration with existing systems, security considerations, and measuring agent performance. Features hands-on exercises with Microsoft AI tools and practical templates for business applications. Duration: 3-4 hours of video content with downloadable resources and implementation guides.
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