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Learn to transform data, use DAX, build reports and dashboards in Power BI, connect AWS and Snowflake sources, and produce AI insights from image and text data.
Learn machine learning foundations: classification, regression, decision trees and random forests, build CNNs and RNN/LSTM models in TensorFlow, and mine text with tokenization and naive Bayes.
Automate business workflows with generative AI: master prompt engineering for models like GPT and BERT, build conversational agents, and design multi-step workflows with error handling.
Learn Rust's ownership, borrowing, and lifetimes, build concurrent high-performance systems, and create scalable web services with Rocket and Actix, including database access and async requests.
Build AI applications with Claude: write structured prompts, make API requests for multi-turn conversations and structured outputs, and create MCP servers with RAG retrieval pipelines.
Apply generative AI to data privacy: use differential privacy techniques, ethical safeguards, and secure data handling practices that comply with global privacy regulations.
Learn SQL in Databricks: create databases, query with SELECT, WHERE and GROUP BY, apply joins and subqueries, and optimize with indexes, views, and stored procedures.
Generate Python code with generative AI: design precise prompts, evaluate code quality and efficiency, build end-to-end projects, and produce test cases with ChatGPT.
Build chatbots with RASA and the GPT-3 API, run object detection with OpenCV, and create content using MidJourney, GitHub Copilot, and DALL·E 2.
Learn how generative AI works: autoencoders, VAEs and GANs, transformer models like GPT and BERT, plus prompt engineering and code generation with ChatGPT.
Prepare for the PMI CAPM exam: master project management frameworks, leadership, risk and strategic management, agile execution, and business analysis principles, with two full mock tests.
Learn Rust's ownership, borrowing, and lifetimes, apply pattern matching and error handling, use generics and traits, and manage dependencies, tests, and builds with Cargo.
Design, build, secure, and manage RESTful APIs with hands-on labs covering authentication, authorization, API gateways, lifecycle management, and advanced technologies like GraphQL, gRPC, and event-driven APIs.
Learn how transformer models like GPT, BERT, and T5 work, then design zero-, one-, and few-shot prompts, chain-of-thought strategies, and defenses against prompt injection.
Use generative AI across the development workflow: GitHub Copilot, Tabnine, Cursor AI, Gemini and Vertex AI, plus prompt engineering, LoRA fine-tuning, and Snyk security checks.
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