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Learn core IBM COBOL software development practices, including code documentation, working with existing code, quality assurance, technical support, and project management for enhanced programming skills.
Comprehensive practice exams for CompTIA A+ Core 1 & 2 certification, covering key IT domains and testing strategies to enhance readiness for the official exam.
For this project you will apply your knowledge of front end and back end development gained from previous courses and build and deploy a full stack real-world web application on the cloud.
Explore Apache Spark, Docker, and Watson Machine Learning for enterprise model deployment. Learn best practices for data manipulation, model training, and tuning, focusing on recommender systems and scalable solutions.
Explore how generative AI revolutionizes data engineering, enhancing productivity in architecture design, querying, schema design, data augmentation, pipelines, and analysis. Gain hands-on skills for real-world applications.
Hands-on training in deploying AI models to production using Docker, Kubernetes, and IBM tools. Learn to build APIs, monitor performance, and iterate efficiently in enterprise AI workflows.
Master ethical hacking with Kali Linux through hands-on training in installation, security tools, and automation scripting. Learn to conduct penetration testing, vulnerability analysis, and customize tools using Python and Bash.
Learn to implement DataOps methodology for high-quality enterprise data, enabling AI and driving value. Covers data governance, model management, and best practices for delivering trusted data across an organization.
Master multimodal AI development by integrating text, speech, images, and video using tools like IBM Granite, OpenAI's Whisper, DALL·E, and Meta's Llama to build interactive applications with Python, Flask, and Gradio.
Develop a responsive website using HTML, CSS, and React. Design layouts, create dynamic components, and deploy a fully functional site to enhance your web development portfolio.
Explore cloud-native app development, DevOps culture, Agile methodologies, and NoSQL databases. Gain hands-on experience deploying and modernizing applications using CI/CD practices and industry-standard tools.
Learn fundamental COBOL elements, data handling, file management, and relational databases in mainframe context. Gain hands-on experience with VSCode, Zowe, CLI, JES, and JCL for effective COBOL programming.
Master generative AI for digital marketing: create content, optimize ads, enhance SEO, improve e-commerce, and personalize email campaigns while addressing ethical considerations.
Explore the fundamentals of systems analysis, including SDLC, requirement gathering, and process modeling methodologies like Agile and Waterfall, while developing essential skills to bridge business needs with technical solutions.
Develop robust RESTful APIs with Node.js and MongoDB. Learn database design, CRUD operations, authentication, error handling, and deployment for scalable cloud-native applications.
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