{"id":109056,"date":"2026-06-06T15:52:49","date_gmt":"2026-06-06T10:22:49","guid":{"rendered":"https:\/\/staging.nanoschool.in\/wp\/course\/ai-model-development-for-digital-pathology\/"},"modified":"2026-07-22T15:43:33","modified_gmt":"2026-07-22T10:13:33","slug":"ai-model-development-digital-pathology","status":"publish","type":"product","link":"https:\/\/staging.nanoschool.in\/wp\/course\/ai-model-development-digital-pathology\/","title":{"rendered":"AI Model Development for Digital Pathology"},"content":{"rendered":"
\n
\n
Attribute<\/div>\n
Detail<\/div>\n
Format<\/div>\n
Recorded Lectures (Self-Paced)<\/div>\n
Level<\/div>\n
Moderate<\/div>\n
Duration<\/div>\n
3 Weeks 1.5 hr per day<\/div>\n
Certification<\/div>\n
e-Certification + e-Marksheet<\/div>\n
Tools<\/div>\n
TensorFlow, Algorithms<\/div>\n<\/div>\n

About the Ai In Digital Pathology Course<\/h3>\n
Digital pathology has revolutionized diagnostic workflows by converting histological slides into high-resolution digital images. The integration of AI allows pathologists to analyze large datasets with increased speed, precision, and reproducibility.<\/div>\n
This course covers the fundamentals of AI in pathology, including image preprocessing, feature extraction, and model training for disease detection and classification. Participants will learn to apply AI algorithms to real-world pathology datasets, develop predictive models, and validate their performance. Emphasis will be placed on practical applications in oncology, hematology, and other clinical specialties, providing insights into improving diagnostic accuracy and enabling personalized patient care.<\/div>\n
\n

Program Highlights<\/h3>\n
\n
\u2022 Comprehensive coverage of AI Model Development for Digital Pathology from fundamentals to advanced applications<\/div>\n
\u2022 Hands-on projects and real-world case studies in Biotechnology<\/div>\n
\u2022 Expert-curated curriculum aligned with current industry standards<\/div>\n
\u2022 Access to recorded lectures and e-LMS platform for flexible, self-paced learning<\/div>\n
\u2022 e-Certification and e-Marksheet upon successful completion<\/div>\n
\u2022 Dedicated mentor support and interactive doubt-clearing sessions<\/div>\n
\u2022 Practical experience with tools: TensorFlow, Algorithms<\/div>\n
\u2022 Career-oriented training for academic and professional growth in Biotechnology<\/div>\n<\/div>\n<\/div>\n

Course Curriculum<\/h3>\n
\n
\n

Module 1: Introduction to Digital Pathology and AI<\/h4>\n
    \n
  • Understand digital pathology workflows and challenges.<\/li>\n
  • Explore the role of AI in transforming diagnostics.<\/li>\n
  • Identify key areas of AI application in pathology.<\/li>\n<\/ul>\n<\/div>\n
    \n

    Module 2: Fundamentals of Convolutional Neural Networks (CNNs)<\/h4>\n
      \n
    • Grasp CNN architecture, including convolution, pooling, and activation layers.<\/li>\n
    • Address pathology-specific challenges like stain variation and magnification levels.<\/li>\n
    • Implement data preparation techniques such as WSI patching and color normalization.<\/li>\n<\/ul>\n<\/div>\n
      \n

      Module 3: Image Preprocessing and Feature Extraction<\/h4>\n
        \n
      • Learn image preprocessing, annotation, and feature extraction techniques specific to pathology.<\/li>\n
      • Apply data augmentation strategies to enhance model robustness.<\/li>\n
      • Prepare digital pathology images for AI model input.<\/li>\n<\/ul>\n<\/div>\n
        \n

        Module 4: Building and Training Deep Learning Models<\/h4>\n
          \n
        • Choose appropriate CNN architectures like ResNet, VGG, DenseNet, or EfficientNet.<\/li>\n
        • Implement dataset splitting and validation methods.<\/li>\n
        • Handle class imbalance and select effective evaluation metrics.<\/li>\n
        • Train a CNN model for tissue classification in a hands-on session.<\/li>\n<\/ul>\n<\/div>\n
          \n

          Module 5: Model Optimization and Transfer Learning<\/h4>\n
            \n
          • Perform hyperparameter tuning and apply regularization methods.<\/li>\n
          • Utilize early stopping and learning rate scheduling for efficient training.<\/li>\n
          • Implement transfer learning with pre-trained models and fine-tuning for pathology.<\/li>\n
          • Interpret model decisions using techniques like Grad-CAM.<\/li>\n<\/ul>\n<\/div>\n
            \n

            Module 6: Model Validation and Real-World Applications<\/h4>\n
              \n
            • Evaluate and validate AI models for clinical relevance and accuracy.<\/li>\n
            • Apply developed AI models to real-world pathology datasets and case studies.<\/li>\n
            • Gain insights into improving diagnostic accuracy and personalized patient care.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
              \n

              Tools, Techniques, or Platforms Covered<\/h3>\n
              TensorFlow<\/span>
              \nAlgorithms<\/span><\/div>\n<\/div>\n

              Real-World Applications<\/h3>\n
              \n
                \n
              • Evaluate and validate AI models for clinical relevance and accuracy.<\/li>\n
              • Apply developed AI models to real-world pathology datasets and case studies.<\/li>\n
              • Gain insights into improving diagnostic accuracy and personalized patient care.<\/li>\n<\/ul>\n<\/div>\n

                Who Should Attend & Prerequisites<\/h3>\n
                \n
                  \n
                • Industry-recognized e-Certification + e-Marksheet from NSTC<\/li>\n
                • Hands-on training with practical projects and industrial datasets<\/li>\n
                • Dedicated expert mentorship and doubt resolution<\/li>\n<\/ul>\n

                  Prerequisites:<\/strong><\/p>\n<\/div>\n

                  Frequently Asked Questions<\/h3>\n
                  \n
                  \n
                  1. What is the format of this AI Model Development for Digital Pathology course?<\/div>\n
                  This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.<\/div>\n<\/div>\n
                  \n
                  2. Will I receive a certificate after completing this course?<\/div>\n
                  Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.<\/div>\n<\/div>\n
                  \n
                  3. What are the prerequisites for this course?<\/div>\n
                  No prior experience is required. This course is designed for beginners and takes you step by step from the basics to advanced topics.<\/div>\n<\/div>\n
                  \n
                  4. How long will I have access to the course materials?<\/div>\n
                  You will have access to all course materials for the duration of 3 Days 1.5 hr per day. The self-paced format allows you to learn according to your own schedule through our online learning management system.<\/div>\n<\/div>\n
                  \n
                  5. Is mentor support available during the course?<\/div>\n
                  Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Biotechnology. Our mentors are industry experts and experienced professionals.<\/div>\n<\/div>\n<\/div>\n
                  Enroll in AI Model Development for Digital Pathology today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Biotechnology skills that matter.<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                  AI Model Development for Digital Pathology is a Moderate-level, 3 Days 1.5 hr per day online program by NSTC. Master AI, digital pathology, image analysis, and deep learning through hands-on projects, real datasets, and expert mentorship. Earn your e-Certification + e-Marksheet in AI in pathology, digital pathology, and deep learning. Designed for professionals seeking practical Biotechnology expertise in India.<\/p>\n","protected":false},"featured_media":109055,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_members_access_role":[],"_members_access_error":""},"product_brand":[9487],"product_cat":[6253],"product_tag":[4660,7017,6205,6048,8172,12844,12811,6164,6246],"class_list":["post-109056","product","type-product","status-publish","has-post-thumbnail","product_brand-nstc","product_cat-biotechnology","product_tag-ai","product_tag-biotechnology","product_tag-cnn","product_tag-deep-learning","product_tag-digital-pathology","product_tag-hematology","product_tag-image-analysis","product_tag-medical-imaging","product_tag-oncology","post-wrapper","thrv_wrapper","first","instock","sale","downloadable","virtual","taxable","purchasable","product-type-simple"],"acf":[],"_links":{"self":[{"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/product\/109056","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/comments?post=109056"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/media\/109055"}],"wp:attachment":[{"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/media?parent=109056"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/product_brand?post=109056"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/product_cat?post=109056"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/staging.nanoschool.in\/wp\/wp-json\/wp\/v2\/product_tag?post=109056"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}