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Learn business intelligence concepts and apply them in Databricks: integrate and prepare data, write queries, visualize results, and manage governance and workflows.
Make content visible in AI-driven search: apply E-E-A-T frameworks, AI content workflows, GEO signal measurement, and content roadmaps that build brand authority.
Learn project management fundamentals: integration, scope, work breakdown structures, scheduling, budgeting, governance and PMO roles, plus predictive, iterative, adaptive and hybrid methodologies.
Learn to prompt Claude effectively: apply roles, tone and context, use zero-shot, few-shot and chain-of-thought techniques, handle long documents with artifacts, and debug with Claude Code.
Build MCP servers and RAG pipelines with Claude: expose tools and resources with strict schemas, chunk documents, generate embeddings, rerank results, and coordinate multi-agent workflows.
Apply generative AI to HR work: automate recruitment, onboarding, performance and retention workflows using agentic AI and no-code tools, with ethical, data-driven implementation.
Build agentic AI systems with LangChain, LangGraph, and MCP: give agents memory, tools, and structured outputs, then design stateful multi-agent workflows with observability and evaluation.
Delegate coding to terminal-based AI agents: set up Claude Code, write structured multi-step instructions, build custom MCP servers, and validate AI-generated code through testing and CI/CD.
Learn Snowflake's multi-cluster shared data architecture: apply UDFs, stored procedures and streams, manage roles and security, and optimize queries with virtual warehouses, caching and time travel.
Build end-to-end DevOps workflows: Git branching and GitHub collaboration, Jenkins CI/CD pipelines, Ansible, Terraform and CloudFormation provisioning, Prometheus and Grafana alerting, Docker and Kubernetes orchestration.
Secure, optimize, and migrate workloads on AWS: manage access, monitor infrastructure for cost-efficiency, plan cloud migrations, and move databases with AWS DMS and Schema Conversion Tool.
Build intelligent agents with LangChain: design prompts and personas, chain multi-step workflows with LCEL, add memory and tools, and validate outputs with Pydantic and TypedDict.
Automate finance work with generative AI: craft prompts in ChatGPT, Claude and Google AI Studio, build FP&A reports with Notion AI and NotebookLM, and forecast budgets.
Build end-to-end Power BI solutions: Power Query transformations, data modeling with advanced DAX, KPI dashboards, and AI-driven reporting with Python, Copilot, and Microsoft Fabric.
Build AI solutions in Python: ground yourself in probability and statistics, train machine learning models, tune deep neural networks, and apply computer vision and speech recognition.
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