Want to master scalable machine learning in the cloud? Implement a Machine Learning Solution with Azure Databricks is your ultimate guide. In 8.5 hours, learn to build end-to-end ML workflows—from data prep with Spark to deploying deep learning models in production. Perfect for data teams aiming to streamline collaboration and automate model management with MLflow and AutoML. Start your journey today and see why companies like Netflix and Walmart trust Azure Databricks for AI innovation!
Start your journey today:
Module 1: Azure Databricks Basics (48 min)
Module 2: Apache Spark Integration (1 hr 14 min)
Module 3: ML Model Training (1 hr 24 min)
Module 4: MLflow for Lifecycle Management (1 hr 3 min)
Module 5: Hyperparameter Tuning with Hyperopt (1 hr 8 min)
Module 6: AutoML for Rapid Development (44 min)
Module 7: Deep Learning Models (1 hr 10 min)
Module 8: Production Deployment (1 hr 2 min)
Learn to build, train, and deploy ML models at scale using Azure Databricks. Master Spark, MLflow, AutoML, and deep learning in end-to-end course.
This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow.
Microsoft Certified: Azure AI Fundamentals (AI-900) is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!
SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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