2w

Introduction to CodespacesThis introductory course introduces GitHub Codespaces, covering its setup, configuration, and practical applications. Students will learn to run and customize Codespaces, use dev containers, manage environments, and troubleshoot common issues. The course includes hands-on labs and real-world examples to reinforce learning.

Certificate

→ 5w

Rust FundamentalsMaster the fundamentals of Rust programming in this comprehensive course designed for both beginners and experienced developers. Starting with essential development environment setup, you'll progress through core language concepts including variables, control flow, and Rust's unique ownership rules. The course covers advanced topics such as structs, enums, and traits while teaching professional development practices like test-driven development and library creation. Learn to leverage modern tools including Rust Analyzer, Cargo, and GitHub Copilot as you build practical coding skills. Through hands-on exercises and real-world examples, you'll gain expertise in writing safe, concurrent, and high-performance Rust code – all without requiring any prior Rust experience. By the end of this course, you'll be equipped to build reliable software using Rust's powerful features and best practices.

Certificate

→ 2w

WebSockets Foundations with RustThis course covers core concepts and hands-on skills for building real-time web applications with WebSockets and Rust. Learn WebSockets protocol, integrate Rust for advanced use cases, and develop skills to create reactive apps and terminals.

Certificate

→ 1w

AWS Advanced AI EngineeringThis advanced course covers building production-grade large language models leveraging Rust, AWS Lambda, and Bedrock. Students will learn strategies for multimodel architecture, prompt engineering, serverless deployment, and end-to-end integration. Labs focus on implementing key patterns in code.

Certificate

→ 2w

Zig Systems Programming FoundationsThis course provides a comprehensive introduction to systems programming concepts and techniques using the Zig programming language. Students will learn core language features, memory management, CLI development, server applications, optimization, and deployment. Labs and projects focus on building real-world applications from the ground up. Upon completion, students will have the skills to build high-performance systems and core infrastructure using Zig.

Certificate

→ 4w

Responsible AI and Security on AWS: Building Secure and Ethical AI SystemsMaster AWS AI security and responsible AI practices through comprehensive coverage of security architectures, monitoring systems, and ethical implementations. Learn to implement robust security controls with CloudTrail integration, Bedrock guardrails, and advanced security boundaries. This course covers essential topics from authentication patterns to SageMaker Clarify, providing hands-on experience in building secure, responsible AI systems while implementing industry best practices for AI security and ethics.

Certificate

→ 4w

Responsible AI and Security on AWS: Building Secure and Ethical AI SystemsMaster AWS AI security and responsible AI practices through comprehensive coverage of security architectures, monitoring systems, and ethical implementations. Learn to implement robust security controls with CloudTrail integration, Bedrock guardrails, and advanced security boundaries. This course covers essential topics from authentication patterns to SageMaker Clarify, providing hands-on experience in building secure, responsible AI systems while implementing industry best practices for AI security and ethics.

Certificate

→ 21w

52 Weeks of AWS: Complete Cloud Certification JourneyMaster AWS cloud computing through a comprehensive year-long journey covering Cloud Practitioner, Solutions Architect, Developer, and Machine Learning certifications. This extensive course provides hands-on experience with cloud infrastructure, security, DevOps, data engineering, and machine learning while building practical skills through real-world projects. Progress from foundational concepts to advanced implementations across the entire AWS ecosystem.

Certificate

→ 6w

Google Cloud Professional Machine Learning EngineerThis course provides in-depth training on machine learning engineering concepts, tools, and techniques using Google Cloud Platform. You will gain hands-on experience building end-to-end ML solutions in the cloud.

Certificate

→ 4w

Databricks Engineering MasteryThis course provides a comprehensive overview of Databricks platform capabilities for getting the Data Engineer certification. Learn to build data pipelines, use Delta Lake for data management, schedule jobs with workflows, and more.

Certificate

→ 4w

AI Orchestration with Local Models: From Development to ProductionMaster the art of AI system orchestration using local models, covering essential topics from prompt engineering to cloud deployment. Learn hands-on skills with Llamafile, Ollama, and Rust tools while building production-ready AI systems. This comprehensive course teaches practical implementation of RAG systems, GPU optimization, model deployment, and integration with cloud services, providing both theoretical knowledge and real-world engineering practices for building efficient AI infrastructures.

Certificate

→ 3w

AWS AI Analytics: Building High-Performance Systems with RustMaster AWS AI analytics systems with a focus on high-performance implementations using Rust. This comprehensive course covers AWS Bedrock integration, Lambda optimization, and intelligent code transformation pipelines. Learn to build efficient analytics systems that leverage generative AI, implement telemetry collection, and optimize serverless architectures. Gain hands-on experience with AWS services while applying best practices for system instrumentation, resource utilization, and production deployment using modern development tools like Amazon Q and CodeCatalyst.

Certificate

→ 4w

CLI Automation with AWS Cloud Shell and Amazon Q: Building Modern DevOps WorkflowsMaster AWS Cloud Shell and Amazon Q for advanced CLI automation and DevOps workflows. Learn essential skills from environment configuration to infrastructure as code using AWS CDK. This comprehensive course covers Docker containerization in Cloud Shell, ECR integration, and Lambda deployment with CDK. Gain hands-on experience building automated workflows while leveraging Amazon Q's AI-powered assistance for enhanced productivity and development efficiency.

Certificate

→ 2w

Open Source LLMs on AWS: From Compilation to DeploymentMaster the deployment of open source Large Language Models on AWS infrastructure. Learn essential concepts from parallel compilation optimization to GGUF format implementation. This comprehensive course covers llama.cpp compilation, UV package management, Qwen integration, and GPU deployment strategies. Gain hands-on experience optimizing model performance, implementing chatbots, and deploying production-ready open source LLM solutions on AWS cloud infrastructure.

Certificate

→ 3w

AI-Powered Software Development & Code QualityMaster the intersection of artificial intelligence and software engineering through advanced code quality metrics, agentic coding systems, and technical debt management. Explore determinism in AI-assisted development, complexity analysis, and performance frameworks including Amdahl's Law, Jevons Paradox, and ELO rating systems for evaluating coding agents. Apply provability scoring and entropy analysis to real-world development scenarios.

Certificate

→ 3w

Deno Development with Agentic AIMaster modern JavaScript/TypeScript development using Deno's integrated runtime and toolchain. Build production-ready applications with roadmap-driven development, implement quality gates with pre-commit hooks, and leverage Deno's task system for data engineering workflows. Explore proactive versus reactive toolchains and compile standalone executables.

Certificate

→ 3w

Building Conversational Bots with RustMaster the architecture and implementation of conversational bots using Rust, Tokio runtime, and modern AI services. Explore memory management, workspace architecture, and integration with platforms like Discord and Deno. Build production-ready bots with AWS Bedrock and Claude, culminating in a comprehensive final project that demonstrates real-world bot development skills.

Certificate

→ 2w

Software Quality Assurance with AIMaster modern software quality assurance through the PMAT framework (Process, Metrics, Architecture, Testing). Apply the Toyota Way principles to software development, implement six essential test types including property-based and fuzz testing with agentic AI, measure quality through FSM metrics and survivorship-adjusted analysis, and understand the certainty-scope tradeoff in testing strategies. Integrate Claude and AI tools into quality workflows using MCP protocol architecture.

Certificate

→ 2w

Windsurf for Privacy Conscious DevelopmentA comprehensive guide to privacy-conscious software development using Windsurf. Learn how to build secure, privacy-respecting applications while maintaining development efficiency and code quality. Covers best practices for data protection, secure coding, and privacy-first architecture.

Certificate

→ 3w

Agentic AI and Autonomous SystemsComprehensive guide to building agentic AI systems that can operate autonomously, make decisions, and interact with their environment. Covers agent architectures, decision-making frameworks, and practical implementation patterns.

Certificate

→ 2w

Complex Debugging with AIExplore advanced techniques for debugging complex software systems using AI, understand the challenges of AI-assisted debugging, and develop strategies for effective testing and logging to enhance AI debugging capabilities.

Certificate

→ 4w

Open Source LLMOpsMaster the complete lifecycle of large language models using open source tools and platforms in this comprehensive LLMOps course. Learn to work with Hugging Face ecosystem, implement local LLMs with Llamafile and Whisper.cpp, perform dataset augmentation, and build real-world solutions using Rust-based tools. The course covers everything from model deployment and optimization to creating portable CLI applications, browser-based implementations with Transformers.js and ONNX, and advanced projects including retrieval-augmented generation and synthetic dataset creation using modern open source technologies.

Certificate

→ 4w

Generative AI and LLMs on AWSMaster the implementation of generative AI and large language models (LLMs) on Amazon Web Services through comprehensive hands-on training. This course covers AWS cloud fundamentals for AI, development environments using Rust and Python, serverless solutions with Amazon Bedrock, prompt engineering techniques, and practical applications including CodeWhisperer integration. Students will gain expertise in building AI-powered applications, working with foundation models, implementing knowledge bases and RAG systems, and developing end-to-end AI solutions using AWS services and modern programming languages.

Certificate

→ 2w

Deterministic MCP Agents: Property-Based Testing & Quality AssuranceBuild reliable, predictable AI agents using PMAT (Property-based Model Agnostic Testing) methodology. Learn deterministic testing strategies, quality metrics, and automated testing frameworks for Model Context Protocol (MCP) agents. Includes hands-on labs with property testing, fuzz testing, and real-world implementation examples.

Certificate

→ 4w

MLOps Tools: MLflow and Hugging FaceMaster essential MLOps tools with this comprehensive course covering MLflow and Hugging Face. Learn to manage machine learning lifecycles, track experiments, deploy models, and leverage the Hugging Face ecosystem for efficient AI development. Through hands-on exercises, discover how to streamline ML workflows, implement version control for models, automate deployments, and integrate with cloud services like Azure for production-ready AI applications.

Certificate

→ 2w

Coding a Review Bot with AILearn to create an AI-powered code review bot using GitHub Actions and large language models. This course covers the fundamentals of automated code reviews, GitHub Actions, and leveraging AI tools like Gemini, Claude Code, and Chat GPT for development tasks. You will build a functional review bot and explore its practical applications.

Certificate

→ 5w

DevOps, DataOps, and MLOpsMaster the intersection of DevOps, DataOps, and MLOps with this comprehensive course covering essential concepts and practical implementations. Learn to build and deploy machine learning pipelines, work with containers, implement CI/CD for ML projects, and develop end-to-end MLOps solutions using modern tools and frameworks like Rust, Python, and cloud services. The course combines theoretical knowledge with hands-on experience in building production-ready ML systems.

Certificate

→ 5w

DevOps, DataOps, and MLOpsMaster the intersection of DevOps, DataOps, and MLOps with this comprehensive course covering essential concepts and practical implementations. Learn to build and deploy machine learning pipelines, work with containers, implement CI/CD for ML projects, and develop end-to-end MLOps solutions using modern tools and frameworks like Rust, Python, and cloud services. The course combines theoretical knowledge with hands-on experience in building production-ready ML systems.

Certificate

→ 4w

Linux and Bash for Data EngineeringMaster Linux fundamentals and Bash scripting for data engineering applications through hands-on learning. This comprehensive course covers essential Linux commands, shell scripting, file system operations, text processing, and data manipulation techniques. Students will learn to write efficient Bash scripts, work with standard streams, and develop practical data processing solutions while gaining proficiency in command-line tools commonly used in data engineering workflows.

Certificate

→ 4w

Applied GitHub PlatformGo beyond the basics and learn to build production-ready projects with advanced GitHub techniques that professional developers use daily. This hands-on course covers GitHub Actions for automation, code verification workflows, containerization, cloud deployment, and GitHub Copilot integration—all through practical examples you can apply immediately. You'll discover how to create robust CI/CD pipelines, implement automated testing and linting, manage secrets securely, and leverage AI-powered coding assistance to accelerate your development workflow. Transform from a GitHub user to a GitHub power user with the skills that make software teams more productive and projects more reliable.

Certificate

→ 2w

Deno TypeScript DevelopmentMaster modern JavaScript and TypeScript development with Deno, the secure runtime built with Rust. Learn to build high-performance CLI tools, understand the permission model, and create standalone executables. This focused course covers everything from basic REPL usage to building production-ready system utilities with native TypeScript support, including practical examples like system monitors and interactive CLI applications.

Certificate

→ 5w

Python Essentials for MLOpsMaster the Python programming fundamentals essential for Machine Learning Operations (MLOps) in this comprehensive course. Learn Python from basics through advanced concepts, including data structures, object-oriented programming, testing, and working with popular data science libraries like Pandas and NumPy. The course emphasizes practical MLOps scenarios, covering API development, automation, and building machine learning applications, preparing you for real-world ML engineering tasks.

Certificate

→ 4w

Rust Data EngineeringDive deep into data engineering with Rust, combining the language's performance and safety features with modern data processing techniques. This comprehensive course covers essential data structures, cloud integration with AWS and GCP, concurrent processing, and machine learning applications. Learn to build efficient data pipelines, implement security best practices, and develop scalable solutions using Rust's powerful ecosystem for data engineering tasks.

Certificate

→ 4w

Rust for Machine Learning Operations (LLMOps)Master the implementation of Machine Learning Operations using Rust through a comprehensive exploration of modern MLOps practices. This course covers essential DevOps principles for ML systems, advanced integration with Hugging Face's Candle framework, deployment of Large Language Models (LLMs), and practical applications using key technologies like ONNX, PyTorch bindings, and AWS services. Learn to build efficient, scalable, and secure ML pipelines while leveraging Rust's performance and safety features for production-grade ML systems.

Certificate

→ 4w

GitHub FundamentalsMaster the foundations of GitHub, the world's most popular developer platform, through comprehensive hands-on training. This course covers essential GitHub concepts including repository management, version control, collaboration workflows, and advanced features like GitHub Copilot and Codespaces. Learn to effectively use Git commands, manage branches, create pull requests, and implement security best practices while gaining practical experience with real-world scenarios. Perfect for beginners, this course provides the skills needed to collaborate effectively in modern software development teams.

Certificate

→ 4w

Generative AI with AWSThis GenAI course will guide you through everything you need to know to use generative AI on AWS

Certificate

→ 4w

Rust For DevopsMaster the intersection of Rust and DevOps in this comprehensive course. You'll learn to harness Rust's powerful features to build, deploy, and operate robust applications while implementing essential DevOps workflows. The course covers practical implementation of logging and monitoring solutions using industry-standard tools like the ELK stack and Prometheus, giving you deep insights into system performance. You'll also discover how to leverage Rust's efficiency and safety guarantees to automate critical system administration tasks, from file operations to scheduled jobs, preparing you for real-world DevOps challenges.

Certificate

→ 1w

Natural Language AI with BedrockThis introductory course provides a practical overview of Natural Language Processing using Amazon Bedrock. Students will learn the basics of building NLP applications, understanding token processing, and working with Bedrock's agent capabilities. The course introduces fundamental concepts like prompt management and text processing patterns, giving learners a foundation for working with Amazon Bedrock's features while following basic AWS best practices.

Certificate

→ 5w

Agile with AIMaster the intersection of Agile methodologies and artificial intelligence in this comprehensive course. Learn how to effectively integrate AI tools and automation into Agile workflows, understand the historical context of both domains, and develop practical skills in technical project management, team collaboration, and AI-enhanced development practices. The course combines traditional Agile concepts with cutting-edge AI applications, preparing students for the future of software development and project management.

Certificate

→ 3w

Introduction to Generative AIExplore the foundations and applications of Generative AI in this comprehensive course covering large language models, prompt engineering, and practical implementation. Learn about the evolution of AI, understand key concepts in generative models, master prompt engineering techniques, and gain hands-on experience with tools like RAG (Retrieval-Augmented Generation) while building robust AI applications.

Certificate

→ 3w

Cloud Machine Learning Engineering and MLOpsMaster the fundamentals of machine learning engineering and MLOps in cloud environments through comprehensive modules covering AutoML, continuous delivery, and edge computing. This course provides hands-on experience with various ML tools and platforms including Azure Machine Learning, Ludwig AutoML, and cloud-based APIs, while teaching essential concepts in ML engineering, microservices architecture, and automated deployment pipelines for production ML systems.

Certificate

→ 4w

Small Language ModelsExplore the fundamentals and practical applications of Small Language Models (SLMs) in this comprehensive course. Learn about key differences between large and small language models, hands-on experience with Microsoft's Phi-2 model, and practical implementation using Llamafile. The course covers essential concepts, use cases, and development practices for building applications with SLMs, while addressing important considerations around limitations, risks, and challenges in language model deployment.

Certificate

→ 3w

Using GenAI to Automate Software Development TasksMaster the integration of Generative AI tools in software development workflows through hands-on experience with key technologies like CodeWhisperer, LLMs, and prompt engineering. This comprehensive course covers setting up AI-focused development environments, implementing AI pair programming practices, and utilizing advanced tools for automation in software development tasks, with practical applications in Rust and Python programming.

Certificate

→ 4w

Rust-Powered AWS ServerlessMaster serverless application development on AWS using Rust through this comprehensive course. Learn to build efficient, secure, and scalable serverless applications by implementing AWS Lambda functions with Rust, understanding core serverless concepts, and creating practical applications including games and performance comparisons with other runtime environments.

Certificate

→ 7w

GitHub Enterprise AdministrationMaster GitHub Enterprise administration through comprehensive training covering user management, security, deployment, and advanced features. This course provides hands-on experience with enterprise-level GitHub administration, including identity management, access controls, repository management, GitHub Actions, and package administration, preparing you for managing GitHub at scale in enterprise environments.

Certificate

→ 2w

Data Engineering with DatabricksMaster data engineering fundamentals using Databricks, a powerful unified analytics platform. This comprehensive course covers essential topics including the Databricks Lakehouse Platform, data transformation techniques, pipeline management, and workload orchestration. Through hands-on labs and practical exercises, students will learn to efficiently manage, transform, and analyze large-scale data using Databricks' cutting-edge tools and best practices for modern data engineering.

Certificate

→ 4w

LLMOps with AzureMaster the implementation and deployment of Large Language Models (LLMs) on Microsoft Azure. This comprehensive course covers Azure OpenAI services, machine learning fundamentals, semantic kernels, and function deployment. Through hands-on labs and practical exercises, learn to build end-to-end LLM applications, implement RAG (Retrieval Augmented Generation), and scale deployments using Azure's cloud infrastructure.

Certificate

→ 7w

AWS Certified Cloud Practitioner PreparationPrepare for the AWS Certified Cloud Practitioner exam with a comprehensive course covering cloud computing fundamentals, AWS core services, security, architecture, and operations. Through hands-on labs, practice exams, and real-world demonstrations, you'll gain practical experience with AWS services while learning essential concepts in cloud computing, pricing models, security practices, and deployment strategies.

Certificate

→ 4w

AI Orchestration: Running Local LLMs at ScaleMaster the art of AI orchestration with local Large Language Models (LLMs). Learn hands-on deployment of Ollama, LlamaFile, and Rust-based AI systems. This comprehensive course covers GPU optimization, model quantization, caching strategies, and production-ready architectures for running AI workloads efficiently on local infrastructure.

Certificate

→ 3w

AWS AI Analytics: Enhancing Analytics Pipelines with AIMaster AWS AI Analytics with a focus on enhancing traditional analytics pipelines. Learn hands-on implementation of Amazon Bedrock, Q, Data Wrangler, and QuickSight. This comprehensive course covers performance optimization using Rust vs Python, serverless architectures, and production-ready AI-enhanced analytics systems. Gain practical experience with real-time data processing, cost optimization, and intelligent code transformation techniques.

Certificate

→ 4w

Azure FundamentalsLearn the essentials of Microsoft Azure cloud platform through comprehensive modules covering cloud concepts, core services, security, management tools, and cost management. This course prepares learners for the AZ-900 Microsoft Azure Fundamentals certification exam by providing hands-on experience with core Azure services, understanding of cloud concepts, and practical knowledge of Azure's security, compliance, and management features.

Certificate

→ 4w

Building AI Applications with Amazon BedrockFull course on Building AI Applications with Amazon Bedrock. Learn how to leverage Amazon Bedrock for foundation models, knowledge bases, and agents. Master the Dracula pattern for model optimization, implement CLI tools in Bash and Rust, and build production-ready AI applications. Includes hands-on labs and practical demonstrations for real-world scenarios.

Certificate

→ 5w

Cloud Computing FoundationsMaster the fundamentals of cloud computing through a comprehensive exploration of major cloud platforms including AWS, Azure, and Google Cloud. This hands-on course covers essential concepts like cloud services, DevOps principles, continuous integration/deployment, and infrastructure as code, preparing students for real-world cloud development and operations. Through practical exercises and projects, learn to build, deploy, and manage cloud applications while implementing industry best practices for security, scalability, and cost optimization.

Certificate

→ 2w

Enterprise AI Operations with AWSLearn how to implement and manage enterprise-scale AI operations using AWS services including Bedrock, Amazon Q, and Cloud Shell. Focus on MLOps, cost optimization, and production-ready implementations.

Certificate

→ 4w

AWS Generative AI ServicesMaster AWS's comprehensive suite of generative AI services including Bedrock, Amazon Q Developer, and SageMaker Canvas. Learn to implement Retrieval Augmented Generation (RAG), work with foundation models, optimize costs, and build production-ready AI systems. This hands-on course covers enterprise security, service integration, and infrastructure foundations for building robust AI applications.

Certificate

→ 2w

Natural Language Processing with Amazon BedrockMaster natural language processing using Amazon Bedrock's comprehensive solution. Learn advanced NLP patterns, prompt engineering, and agent architectures while building production-ready systems. This hands-on course covers everything from token processing lifecycles to implementing sophisticated NLP pipelines with local and cloud model integration.

Certificate

→ 5w

Agile with AIMaster the intersection of Agile methodologies and artificial intelligence in this comprehensive course. Learn how to effectively integrate AI tools and automation into Agile workflows, understand the historical context of both domains, and develop practical skills in technical project management, team collaboration, and AI-enhanced development practices. The course combines traditional Agile concepts with cutting-edge AI applications, preparing students for the future of software development and project management.

Certificate

→ 1w

GitHub ModelsMaster the fundamentals of GitHub's AI models and learn best practices for integration in your development workflow. This comprehensive course covers essential concepts including AI model understanding, responsible AI implementation, strategic deployment, and practical application through hands-on exercises with GitHub Codespaces, rate limiting, and API development.

Certificate

→ 1w

Radical Ideas AI EthicsExplore the ethical dimensions of artificial intelligence through a comprehensive examination of human-centric perspectives, digital rights, and critical analysis of AI's impact on society. This course delves into key concepts including ethical AI development, tech propaganda, economic implications, and the emergence of digital rights in the AI era, providing students with the tools to critically evaluate and shape the future of AI ethics.

Certificate

→ 4w

Scripting with Python and SQL for Data EngineeringMaster data engineering fundamentals through hands-on experience with Python and SQL. This comprehensive course covers essential topics including data structures, web scraping, database management with SQLite and MySQL, and efficient data processing techniques. Students will learn to write production-ready scripts, work with various data formats, and build automated data pipelines while implementing industry best practices for data engineering workflows.

Certificate

→ 1w

End to End LLM with AzureMaster the implementation of Large Language Models (LLMs) on Microsoft Azure, from initial setup to production deployment. This comprehensive course covers Azure OpenAI integration, API implementation, deployment automation, and best practices for building production-ready LLM applications. Through hands-on labs and practical exercises, students will learn to create, deploy, and manage LLM solutions while understanding key concepts in AI development and cloud infrastructure.

Certificate

→ 5w

MLOps Platforms: Amazon SageMaker and Azure MLMaster the fundamentals of Machine Learning Operations (MLOps) using Amazon SageMaker and Azure ML services. This comprehensive course covers the entire ML lifecycle, from data engineering and exploratory analysis to model development, deployment, and operational management. Through hands-on labs and real-world scenarios, students will learn to build, train, and deploy machine learning models at scale while implementing MLOps best practices across both AWS and Azure cloud platforms.

Certificate

→ 4w

Cloud Virtualization, Containers and APIsMaster modern cloud computing technologies through hands-on experience with virtualization, containerization, and microservices architecture. This comprehensive course covers essential topics including virtual machines, Docker containers, Kubernetes orchestration, and serverless computing. Students will gain practical experience working with leading cloud platforms like AWS and Azure, while learning to build, deploy, and manage scalable cloud-native applications.

Certificate

→ 4w

Rust GUI Development for LinuxMaster Rust GUI development for Linux through a comprehensive hands-on course covering multiple GUI frameworks including Iced, GTK, and EGUI. Learn to build interactive applications from simple counters to complex games while gaining practical experience with Rust's GUI ecosystem. The course provides step-by-step guidance through practical projects including calculators, to-do lists, and interactive games.

Certificate

→ 4w

Azure AI FundamentalsMaster the fundamentals of artificial intelligence on Microsoft Azure through a comprehensive curriculum covering machine learning, computer vision, natural language processing, and conversational AI. This course provides hands-on experience with Azure AI services, AutoML capabilities, and large language models while preparing learners for the AI-900 Microsoft Azure AI Fundamentals certification exam. Students will learn to implement and evaluate AI solutions using Azure's cognitive services, machine learning tools, and responsible AI practices.

Certificate

→ 4w

Google Cloud Platform Certified Data EngineerMaster data engineering on Google Cloud Platform through hands-on learning. Develop expertise in storage solutions, data pipelines, ML operations, and security best practices while building production-ready systems. This comprehensive course covers everything from BigQuery to ML infrastructure with Vertex AI to gain the certification.

Certificate

→ 2w

Authoritative GCP Professional Cloud ArchitectMaster Google Cloud Platform architecture with this comprehensive course designed for aspiring cloud architects and engineers. Learn to design, develop, and manage robust, scalable, and secure cloud solutions using GCP services. The course covers essential topics including infrastructure design, security implementation, deployment automation, and operational excellence, preparing you for real-world cloud architecture challenges and the Professional Cloud Architect certification.

Certificate

→ 3w

Applied Local Large Language ModelsMaster the deployment and operation of local large language models (LLMs) through hands-on experience with tools like llamafile and Rust Candle. This comprehensive course covers fundamental concepts, practical implementation techniques, production workflows, and responsible AI practices, enabling you to effectively build, evaluate, and deploy local LLM solutions while understanding their benefits, risks, and ethical considerations.

Certificate

→ 4w

Advanced Data EngineeringMaster advanced data engineering concepts and tools through hands-on experience with industry-standard technologies. This comprehensive course covers message queues with RabbitMQ, workflow orchestration using Apache Airflow, database management with MySQL, and modern data solutions including vector and graph databases. Learn to design, implement, and optimize data pipelines while gaining practical experience with AWS services and scalable architectures.

Certificate

→ 4w

Advanced Data EngineeringMaster advanced data engineering concepts and tools through hands-on experience with industry-standard technologies. This comprehensive course covers message queues with RabbitMQ, workflow orchestration using Apache Airflow, database management with MySQL, and modern data solutions including vector and graph databases. Learn to design, implement, and optimize data pipelines while gaining practical experience with AWS services and scalable architectures.

Certificate

→ 4w

Introduction to LLM VulnerabilitiesExplore the critical security aspects of Large Language Models (LLMs) through a comprehensive examination of potential vulnerabilities and protection strategies. This course covers fundamental concepts of language models, various types of model-based vulnerabilities including prompt injection and output handling, system-level security concerns, and challenges related to excessive agency. Learn to identify, understand, and mitigate security risks in LLM applications through practical examples and hands-on exercises.

Certificate

→ 4w

Python and Rust with Linux Command Line ToolsMaster the art of building command-line tools using both Python and Rust while leveraging Linux systems. This comprehensive course covers advanced CLI development, cross-language integration, package management, and cloud deployment with AWS Lambda. Learn to create efficient, maintainable command-line applications while exploring the synergies between Python's rapid development capabilities and Rust's performance benefits, complete with practical projects and real-world applications.

Certificate

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