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Start Your Machine Learning & AI Engineering Career | Free 3-Hour Training
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Start Your Machine Learning & AI Engineering Career | Free 3-Hour Training

08 Oct 202610:00OnlineEnglishOpen
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šŸ¤– START YOUR MACHINE LEARNING & AI ENGINEERING CAREER FREE 3-HOUR LIVE TRAINING + CAREER ROADMAP Are you interested in Machine Learning and AI but not sure where to start? Join Coding Macaw for a FREE 3-hour live online Machine Learning & AI Engineering training designed for students, recent graduates, beginners, and aspiring ML/AI Engineers currently residing in the United States. Explore the journey from data manipulation and machine learning algorithms to LLMs, AI APIs, feature engineering, model evaluation, and modern AI engineering concepts. šŸ’» WHAT YOU'LL EXPLORE āœ“ Machine Learning & AI Engineering Fundamentalsāœ“ Pandas & Data Manipulationāœ“ Linear Regressionāœ“ Decision Treesāœ“ Model Evaluation & Metricsāœ“ Bias-Variance Tradeoffāœ“ Feature Engineeringāœ“ Cross-Validation & Hyperparameter Tuningāœ“ LLMs, Tokenization & Embeddingsāœ“ Building with LLM APIsāœ“ Tool Calling & AI Agent Loopsāœ“ Feature Selection & Class Imbalanceāœ“ XGBoost, LightGBM & CatBoost 🧠 MACHINE LEARNING Pandas → Regression → Decision Trees → Model Evaluation → Feature Engineering → Cross-Validation → Hyperparameter Tuning → Boosting Models šŸ¤– AI ENGINEERING LLMs → Tokenization → Embeddings → LLM APIs → Structured Output → Tool Calling → AI Agents šŸŽÆ CAREER ROADMAP Python & Data → Machine Learning Fundamentals → Model Evaluation → Feature Engineering → Advanced ML → LLMs → AI APIs → AI Agents → ML/AI Engineering šŸ‘„ WHO SHOULD ATTEND? • U.S.-based college and university students• Recent graduates• Computer Science & IT students• Beginners exploring Machine Learning• Aspiring ML Engineers• Aspiring AI Engineers• IT professionals interested in AI/ML• Anyone interested in building intelligent applications No advanced Machine Learning or AI Engineering experience is required. šŸš€ WHAT YOU'LL TAKE AWAY āœ“ Understand the ML Engineer vs AI Engineer rolesāœ“ Learn the fundamentals of machine learning workflowsāœ“ Understand regression and decision-tree modelsāœ“ Explore model evaluation and bias-varianceāœ“ Learn feature engineering conceptsāœ“ Understand cross-validation and hyperparameter tuningāœ“ Explore how LLMs process and generate textāœ“ Learn how to work with LLM APIsāœ“ Understand tool calling and AI agent workflowsāœ“ Get a practical ML & AI Engineering career roadmapāœ“ Participate in a live Q&A šŸ—“ļø EVENT DETAILS šŸ“… Date: October 8, 2026ā° Time: 10:00 AM – 1:00 PM ET🌐 Format: Live OnlinešŸŽŸļø Cost: FREEšŸ‡ŗšŸ‡ø Audience: U.S.-based students and aspiring ML/AI Engineers šŸ”— CONNECT WITH CODING MACAW 🌐 Website: Coding Macaw WebsitešŸ“ø Instagram: Coding Macaw InstagramšŸ’¼ LinkedIn: Coding Macaw LinkedIn šŸ”— LIVE TRAINING https://meet.zoho.in/cimn-iso-icr Meeting ID: 1336582357 Password: dRATCp šŸš€ START YOUR ML & AI ENGINEERING JOURNEY Reserve your FREE spot and join us live on October 8, 2026. FREE REGISTRATION • LIVE TRAINING • CAREER ROADMAP

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