AI Engineer Roadmap | Roadmap To Become Artificial Intelligence Engineer | AI | 2024 | Simplilearn
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In this video from Simplilearn, we explore what an AI engineer does and provide an 8-month comprehensive roadmap to becoming one. This roadmap is designed to guide you through essential skills and knowledge areas, starting with computer science fundamentals, data structures, and algorithms in Python, and advancing to version control, SQL, data manipulation, and essential math and statistics for AI. We then delve into exploratory data analysis, machine learning model building, and MLOps, culminating in deep learning and specialization in NLP, computer vision, or generative AI. This video will equip you with the tools and understanding needed to kickstart your career in AI engineering.
00:00:00 - Introduction to AI
00:01:00 - Who is an AI Engineer?
00:01:49 - CS Fundamentals and Python
00:03:21 - Data Structures and Advanced Python
00:04:13 - Version Control, SQL and Data Manipulation
00:05:24 - Math and Statistics for AI
00:06:19 - Data Analysis and Machine Learning
00:07:26 - ML Ops and Machine Learning Projects
00:07:54 - Deep Learning
00:08:20 - NLP or Computer Vision
✅ Is AI engineer a good career?
Yes, becoming an AI engineer is a promising career choice. With the growing integration of AI across various industries, there is a high demand for skilled professionals in this field. AI engineers enjoy competitive salaries, opportunities for innovation, and the ability to work on cutting-edge technologies that shape the future.
✅ What is AI engineering salary?
AI Engineer salaries in the US typically range from $116,000 to $204,000 annually, with an average of around $154,000. These figures can vary significantly based on factors such as experience, location, and company size.
✅ Does AI engineer do coding?
Yes, an AI engineer does coding. They use programming languages like Python to build, implement, and optimize machine learning models and algorithms. Coding is essential for developing AI applications, data processing, and integrating AI solutions into larger systems.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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