Artificial Intelligence & Machine Learning Engineer Career Path

Uplatz provides this comprehensive Career Path program on Artificial Intelligence and Machine Learning. It is a self-paced program consisting of video lectures on all courses related to AI and ML. You will be awarded Course Completion Certificate at the end of the course.

AI (Artificial Intelligence) is a complex network of algorithms that think like a human brain. Programming and training AI takes time and expertise but not only for the work of deploying the models. An AI Engineer must also screen for problems, handle system maintenance, and make improvements. One can find people to write algorithms, but one also needs someone who can make decisions about the system itself.

This AI/ML Engineer career path program consists of the following courses:

1. Python Programming
2. R Programming
3. Machine Learning (basic to advanced)
4. Machine Learning with Python
5. Deep Learning Foundation
6. Deep Learning with Keras
7. Deep Learning with TensorFlow

AI engineers are in high demand. Artificial Intelligence (AI) is a computer system’s ability to mimic human behavior. Machines demonstrate this sort of intelligence, which can be compared to a natural intelligence that humans and animals demonstrate. An AI engineer builds AI models using machine learning algorithms and deep learning neural networks to draw business insights, which can be used to make business decisions that affect the entire organization. These engineers also create weak or strong AIs, depending on what goals they want to achieve.

Machine learning (ML) is a type of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

At a very high level, machine learning is the process of teaching a computer system how to make accurate predictions when fed data. Those predictions could be answering whether a piece of fruit in a photo is a banana or an apple, spotting people crossing the road in front of a self-driving car, whether the use of the word book in a sentence relates to a paperback or a hotel reservation, whether an email is spam, or recognizing speech accurately enough to generate captions for a YouTube video.

This Artificial Intelligence / Machine Learning Career Path program by Uplatz will help you acquire skills necessary to become a successful Machine Learning / Deep Learning Engineer. This can be a game-changer for your career and can put you on track for a highly paid lucrative and challenging career in cutting-edge technology.

Uplatz Certificate of Completion

Digital certificate - Included

Professionals who are finding how to become an AI engineers should also know about the skills required in this field. Some of them include:

• Programming Skills
• Linear Algebra, Probability, and Statistics
• Spark and Big Data Technologies
• Algorithms and Frameworks
• Be familiar with a variety of systems including cloud-native systems and chips.
• understand the principles of deep learning
• Decide when models are ready to deploy and maintain them for accuracy.

The main purpose of this course is to provide the most fundamental knowledge to the students so that they can understand what AI is. Due to limited time, we will try to eliminate theoretic proofs and formal notations as far as possible, so that the students can get the full picture of AI easily. Students who become interested in AI may go on to graduate school for further study.

Everyone

Passion to learn and succeed!

• Artificial Intelligence / Machine Learning Engineer
• Software Engineer Machine Learning and Artificial intelligence Engineer
• AI/ML Engineer
• Data Scientist
• Data Science Engineer