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)
365 days access to self-paced learning content
AI Engineer Program and IBM certificates for IBM courses.
Masterclasses, Exclusive hackathons, and Ask Me Anything sessions by experts from IBM.
Live online classes by experienced trainers and industry experts.
3 Capstones and 25+ practical projects from different industry domains
Latest AI trends, such as ChatGPT, generative AI, prompt engineering.
Exposure to TensorFlow, Keras, ChatGPT, OpenAI, Dall-E, and more
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
Essentials of Generative AI, Prompt Engineering & ChatGPT
Course 1 (Live Online Classroom)
Programming Essentials
Course 2 (Live Online Classroom & eLearning)
Python for Data Science (IBM)
Course 3 (eLearning)
Applied Data Science with Python
Course 4 (Live Online Classroom & eLearning)
Machine Learning using Python
Course 5 (Live Online Classroom & eLearning)
Deep Learning Specialization
Course 6 (Live Online Classroom & eLearning)
Artificial Intelligence Capstone Project
Course 7
Deep Learning with TensorFlow
Electives
Advanced Deep Learning and Computer Vision
Elective course
Natural Language Processing
Elective Course
Reinforcement Learning
Elective course
Advanced Generative AI
Elective course
Projects
Industry Projects
Who Should Enroll in this Program?
This program caters to professionals from a variety of industries and backgrounds. The diversity of our students adds richness to class discussions and interactions. Roles in this space require a combination of experience and an understanding of tools and technologies. This program is ideal for professionals looking for a career transition into the field of AI and ML, who have knowledge or prior experience in programming and mathematics, and an analytical frame of mind.
AI Engineers
Machine Learning Engineers
Analytics Manager
Information Architects
Eligibility
Candidates should have:
- A bachelor’s degree with an average of 50% or higher marks
- Prior knowledge or experience in programming and mathematics
- Preferably 2+ years of formal work experience
Professionals eager to develop AI and ML expertise with the objective of:
- Enhancing effectiveness in their current role
- Transitioning to AI and ML roles in their organization
- Seeking to advance their career in the industry
- Giving shape to entrepreneurial aspirations
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