Artificial Intelligence (AI) Engineer Master's Program Certification
1.250,00 EUR
The AI Engineer Master’s Program, in collaboration with IBM, covers the crucial skills you need for a successful career in Artificial Intelligence (AI). As you undertake this Artificial Intelligence program, you’ll master the concepts of Machine Learning and Deep Learning and the internationally-acclaimed programming language Python needed to excel in AI. You will also learn how to design intelligent models and advanced artificial neural networks and leverage predictive analytics to solve real-time problems to take your career in Artificial Intelligence to the next level. You can also sought-after expertise in areas such as Natural Language Processing (NLP), computer vision, reinforcement learning, generative AI, prompt engineering, ChatGPT and many more. The program also includes hackathons and AMA sessions organized by IBM.
Key Features
11 months long live online bootcamp and eLearning (self-paced)
Lifetime access to self-paced learning content
Certificate of Completion of AI Engineer Program and IBM certificates for IBM courses.
Masterclasses, Exclusive hackathons, and Ask Me Anything sessions held by experts from IBM.
Core courses delivered in live online classes with 8X higher interaction delivered by experienced trainers and industry experts.
3 Capstones (final projects) and 25+ practical projects from different industry domains like Amazon, Walmart, Mercedes Benz, and Uber
Session about the latest AI trends, such as ChatGPT, generative AI, prompt engineering and much more.
Exposure to TensorFlow, Keras, ChatGPT, OpenAI, Dall-E and other prominent tools.
Complete program helps you get noticed by the best recruitment companies.
Learning Outcomes
At the end of this Artificial Intelligence (AI) Engineer Master's Program, you will be able to:
Applications
Learn about the major applications of Artificial Intelligence across various use cases across various fields like customer service, financial services, healthcare, etc.
Techniques
Implement classical Artificial Intelligence techniques such as search algorithms, neural networks, and tracking.
Problem Solving
Gain the ability to apply Artificial Intelligence techniques for problem solving and explain the limitations of current Artificial Intelligence techniques.
Mastering
Master the skills and tools used by the most innovative Artificial Intelligence teams across the globe as you delve into specializations, and gain experience solving real-world challenges.
Intelligent Design
Design and build your intelligent agents and apply them to create practical Artificial Intelligence projects, including games, Machine Learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, agent decision-making functions, and more.
TensorFlow
Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline.
Machine Learning
Understand and master the concepts and principles of Machine Learning, including its mathematical and heuristic aspects.
Neural Networks
Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces.
Deep Learning
Learn to deploy deep learning models on Docker, Kubernetes, and serverless environments (cloud).
Natural Language Processing
Understand the fundamentals of Natural Language Processing using the most popular library, Python’s Natural Language Toolkit (NLTK).
Learning Path
Introduction to Artificial Intelligence
Course 1
Data Science with Python
Course 2
Machine Learning
Course 3
Deep Learning with Keras and TensorFlow
Course 4
Artificial Intelligence Capstone Project
Course 5
IBM - Python for Data Science
Elective course
Advanced Deep Learning and Computer Vision
Elective course
Natural Language Processing and Speech Recognition
Elective Course
Social Media
Project 1
E-commerce
Project 2
Automobile Manufacturing
Project 3
Retail
Project 4
Telecommunications
Project 5
E-commerce
Project 6
Finance
Project 7
Retail
Project 8
Who Should Enroll in this Program?
Target Audience:
With the demand for Artificial Intelligence in a broad range of industries such as banking and finance, manufacturing, transport and logistics, healthcare, home maintenance, and customer service, the Artificial Intelligence course is well suited for a variety of profiles like:
AI Engineers
Machine Learning Engineers
Analytics Manager
Information Architects
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