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Author(s): Jennifer Wales Originally published on Towards AI. AIEngineers: Your Definitive Career Roadmap Become a professional certified AIengineer by enrolling in the best AIMLEngineer certifications that help you earn skills to get the highest-paying job.
Professional Development Certificate in Applied AI by McGill UNIVERSITY The Professional Development Certificate in Applied AI from McGill is an appropriate advanced and practical program designed to equip professionals with actionable industry-relevant knowledge and skills required to be senior AIdevelopers and the ranks.
Adaptive RAG Systems with Knowledge Graphs: Building Smarter LLM Pipelines David vonThenen, Senior AI/MLEngineer at DigitalOcean Unlock the full potential of Retrieval-Augmented Generation by embedding adaptive reasoning with knowledge graphs. Perfect for developers looking to go from zero to deployed.
As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In a nutshell, AIEngineering is the application of software engineering best practices to the field of AI.
Schumer provided insights on optimizing AI workflows, selecting appropriate LLMs based on task complexity, and the trade-offs between small and large language models. The session emphasized the accessibility of AIdevelopment and the increasing efficiency of AI-assisted software engineering.
Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and MLEngineers seeking to build cutting-edge autonomous systems.
Learn how to create benchmarks, catch hallucinations, select meaningful metrics, and monitor AI agent failure modes, turning evaluation into a key driver for success in your AI applications. This workshop provides hands-on experience in building adaptive AI applications that evolve with real-time feedback.
AIEngineer, Machine Learning Engineer, and Robotics Engineer are prominent roles in AI. MLEngineer, Data Scientist, and Research Scientist are typical roles in Machine Learning. How does AI differ from Machine Learning? This forecast suggests a remarkable CAGR of 36.2%
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