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FREE Machine Learning with Generative AI Bootcamp | USA Only |
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FREE Machine Learning with Generative AI Bootcamp | USA Only |

22 сен 202608:30 - 10:30ОнлайнEnglishOpen
LearnNetworkHire
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Описание

FREE 10-Day Machine Learning & Generative AI Bootcamp 2026 | Live Online | Starts September 22nd Joining the WhatsApp group is mandatory to confirm your registration and receive all session updates, assignments, learning resources, reminders, and live class links. Only participants who join the WhatsApp group will receive access to the live sessions. This bootcamp is specially designed for learners currently residing in the United States. Seats are limited. Reserve your FREE seat today. 📌 JOIN HERE 📌 REGISTER HERE 👉 Start your journey toward becoming a Machine Learning Engineer, AI Engineer, Generative AI Engineer, Data Scientist, or AI Developer. 🌐 Website www.codingmacaw.com 📞 Contact +1 (914) 224-3681 +1 (914) 224-3195 +1 (347) 794-0336 +1 (347) 928-9911 📅 Program Details Program Start Date: September 22, 2026 Morning Batch (EST) 🕥 10:30 AM – 12:30 PM Evening Batch (EST) 🕣 8:30 PM – 10:30 PM Mode 💻 100% Live Online Duration 📅 10 Days ⚠️ Important Notice Artificial Intelligence and Machine Learning are transforming how businesses build products, automate processes, analyze information, and make decisions. Modern AI professionals are expected to understand machine learning fundamentals while also working with Generative AI, large language models, prompt engineering, vector databases, AI APIs, and AI-powered applications. Generative AI is rapidly becoming part of modern software and data workflows, creating new opportunities for professionals who understand both traditional Machine Learning and modern AI technologies. This bootcamp provides a practical introduction to Machine Learning and Generative AI concepts, tools, and workflows. 📌 What You'll Learn Throughout this bootcamp, you'll gain hands-on exposure to: Python for AI & Machine Learning NumPy Pandas Data Preprocessing Exploratory Data Analysis Statistics Fundamentals Machine Learning Fundamentals Supervised Learning Unsupervised Learning Regression Classification Clustering Model Evaluation Feature Engineering Scikit-learn Deep Learning Fundamentals Neural Networks Generative AI Large Language Models Prompt Engineering AI APIs Retrieval-Augmented Generation (RAG) Embeddings Vector Databases AI Agents Fundamentals Hugging Face LangChain OpenAI API AI Application Development 🌟 Why Learn Machine Learning & Generative AI? AI and Machine Learning are becoming essential technologies across industries including technology, finance, healthcare, retail, marketing, cybersecurity, and business operations. Learning Machine Learning and Generative AI can help you: ✔ Understand how modern AI systems work ✔ Build Machine Learning models ✔ Analyze and prepare datasets ✔ Create AI-powered applications ✔ Work with Large Language Models ✔ Build Generative AI solutions ✔ Understand RAG and AI agents ✔ Develop practical AI projects ✔ Prepare for AI and Machine Learning careers 🎯 Who Should Join? ✔ Students ✔ Fresh Graduates ✔ Beginners ✔ Software Developers ✔ Python Developers ✔ Data Analysts ✔ Data Scientists ✔ IT Professionals ✔ Software Engineers ✔ Career Switchers ✔ AI Enthusiasts ✔ Anyone Interested in Artificial Intelligence 🛠 Technologies Covered Python NumPy Pandas Scikit-learn Jupyter Notebook TensorFlow Fundamentals Hugging Face LangChain OpenAI API Generative AI Large Language Models RAG Vector Databases Prompt Engineering AI Agents 📌 What You'll Get ✅ Live Instructor-Led Training ✅ Hands-on AI & ML Sessions ✅ Real-World Datasets ✅ Machine Learning Model Development ✅ Generative AI Demonstrations ✅ AI Application Development ✅ Portfolio Project Guidance ✅ Resume Building Support ✅ LinkedIn Profile Optimization ✅ Career Roadmap ✅ Mock Interview Preparation ✅ Course Completion Certificate ✅ Placement Assistance & Job Support 🚀 05-Day Learning Roadmap Day 1 – Python, Data & Machine Learning Fundamentals Python Fundamentals NumPy Pandas Data Cleaning Exploratory Data Analysis Statistics Fundamentals Introduction to Machine Learning Day 2 – Supervised Machine Learning Regression Classification Feature Engineering Train & Test Data Model Training Model Evaluation Scikit-learn Day 3 – Unsupervised Learning & Deep Learning Clustering Dimensionality Reduction Neural Networks Deep Learning Fundamentals Model Optimization Practical ML Project Day 4 – Generative AI & Large Language Models Introduction to Generative AI Large Language Models Prompt Engineering AI APIs OpenAI API Hugging Face Building AI-Powered Applications Day 5 – RAG, AI Agents & Career Roadmap Embeddings Vector Databases Retrieval-Augmented Generation LangChain AI Agents Fundamentals Building a GenAI Application Portfolio Guidance Resume Building Interview Preparation Career Roadmap 💼 Career Opportunities After developing your AI and Machine Learning skills, you can explore roles such as: Machine Learning Engineer AI Engineer Generative AI Engineer Data Scientist AI Developer Machine Learning Developer NLP Engineer AI Solutions Engineer Junior Data Scientist AI Application Developer 🚀 Ready to Start Your AI Career? Join our FREE 05-Day Machine Learning & Generative AI Bootcamp and learn the foundations of modern Artificial Intelligence, Machine Learning, and Generative AI. You'll gain practical exposure to Python, Machine Learning, Scikit-learn, Deep Learning, Large Language Models, Prompt Engineering, RAG, Vector Databases, LangChain, AI APIs, and AI Agents. Designed for learners interested in the rapidly evolving U.S. AI job market, this bootcamp provides a practical foundation for building AI-powered applications and starting your journey toward a career in Machine Learning, Artificial Intelligence, Data Science, and Generative AI. Whether you're a student, beginner, software developer, data analyst, IT professional, or career changer, this bootcamp gives you the foundation to begin building practical AI skills. 📌 JOIN HERE 📌 REGISTER HERE

Инструменты, которые будут использоваться на событии

OpenAI

TensorFlow

Hugging Face

LangChain

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Теги

# AI# Machine Learning# Conference# Workshop# Data Science# networking# machine-learning

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