Firstlink Consulting

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The integration of Artificial Intelligence into software quality assurance is transforming the testing landscape, and this comprehensive course by Firstlink Consulting equips learners with the highly sought-after skills needed to stay ahead. Designed for QA professionals, automation engineers, and software developers of all skill levels, this course bridges the gap between traditional testing frameworks and modern AI-driven methodologies. Students will master industry-standard tools like Selenium and Playwright, learning how to build robust, scalable end-to-end automation frameworks from scratch. What sets this curriculum apart is its deep dive into generative AI utilities, including GitHub Copilot, Claude Code, and Amazon Q, which accelerate test script generation, optimize debugging, and simplify test maintenance. Beyond basic UI automation, learners will explore advanced topics such as data-driven testing using AI-generated datasets, API testing workflows, performance testing, and database validation utilizing SQL and PL/SQL. Additionally, the course addresses modern QA challenges by demonstrating how to migrate older Selenium frameworks to Playwright for improved execution speed. By incorporating cutting-edge AI agents and MCP-based integrations, this course prepares professionals to design modern, CI-ready testing pipelines that significantly boost engineering efficiency and software quality.

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The software development landscape is undergoing a massive shift from simple AI prompting to fully autonomous, context-aware engineering loops. 'Claude Code Mastery' is designed specifically to bridge this gap for modern developers, DevOps engineers, and technical architects. Curated by Firstlink Consulting, this comprehensive course dives deep into Anthropic's revolutionary Claude Code CLI, demonstrating how to move beyond basic chatbot interactions and integrate generative AI directly into your terminal. Throughout this training, learners will explore the Model Context Protocol (MCP), unlocking the ability to securely connect LLMs with local development environments, databases, and external APIs. You will gain hands-on experience building specialized AI subagents that handle modular code generation tasks, managing complex multi-file workspaces, and configuring advanced slash commands. Furthermore, the course guides you through establishing stateful memory architectures and automating testing and deployments by integrating Claude Code workflows into GitHub Actions. By the end of this program, you will have the practical skills to construct a resilient, enterprise-grade AI-assisted development lifecycle that drastically reduces cognitive load and accelerates software delivery.

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This specialized course on the Model Context Protocol (MCP) and Claude Code offers developers and AI architects an in-depth, hands-on path to mastering modern agentic workflows. Created by Firstlink Consulting, the program bridges the gap between theoretical generative AI and practical, secure implementation. Students will explore the core architecture of MCP, learning how to connect LLMs to data sources and enterprise tools securely. By working with advanced tools like Claude Code, CrewAI, and Amazon Bedrock, learners build robust, multi-agent systems designed for real-world applications such as automated planning and dynamic tool execution. The curriculum places a strong emphasis on security, covering penetration testing for AI agents, OAuth authentication, and containerized deployment using Docker. Designed for intermediate developers, system architects, and AI enthusiasts, this course provides the technical depth needed to implement production-grade AI agents that utilize server-sent events (SSE), streamable HTTP protocols, and multi-server environments. By the end, students are fully prepared to integrate scalable, cost-effective AI agents into enterprise CI/CD pipelines and modern development workflows.