Become an A.I. & Machine Learning Engineer

Overview

Be at the forefront of the A.I. revolution! This Machine Learning Engineer, A.I.

Engineer Career Path is your step-by-step roadmap to go from beginner (at any age!) to getting hired as a Machine Learning Engineer. You’ll be guided through our curated curriculum of bootcamps, bytes, projects, and action items to build your skills, portfolio and experience to become a top 10% A.I. & Machine Learning Engineer.Deep Learning, Transfer Learning and Neural Networks using Tensorflow and PyTorchGet experience using the modern tools that big tech companies like Google, Apple, Amazon, Meta, and OpenAI useBuild TensorFlow and PyTorch models using Computer Vision, Convolutional Neural Networks and Natural Language ProcessingLearn all about Generative A.I. and Large Language Models (LLMs)How to ace all of your interviews, get more job offers and a higher salary

Syllabus

• Complete A.I. Machine Learning and Data Science: Zero to Mastery
• Career Guide to Your Dream Job: Resumes, Interviews & Promotions
• Apply To 5 Jobs
• The Next 2 Courses
• PyTorch for Deep Learning Bootcamp: Zero to Mastery
• TensorFlow for Deep Learning Bootcamp: Zero to Mastery
• Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery
• AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker
• Learn Hugging Face by Building a Custom AI Model
• Apply To 5 Jobs You Really Want
• Learning to Learn [Efficient Learning]
• Statistics Bootcamp (with Python): Zero to Mastery
• Master the Coding Interview: Data Structures + Algorithms
• Future Proof Yourself: Goal Setting for Your Career
• Read the Principles for Programmers
• Take Your Next Step

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Taught by

Daniel Bourke, Andrei Neagoie, Patrik Szepesi, and Scott Kerr

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Subjects

Computer Science