Artificial intelligence is growing rapidly, and its scope is vast. AI has multiple uses for many industries such as facial recognition, social media, navigation, the list goes on. Without AI Engineers, none of this would be possible, as they create AI systems that align with human needs and mission outcomes.
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Artificial Intelligence Engineer Learning Path
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Course 1
Introduction to Artificial Intelligence
Course 2
Applied Data Science with Python
Course 3
Machine Learning
Course 4
Deep Learning with Keras and TensorFlow
Course 5
AI Capstone Project
Elective 1
Python for Data Science
Elective 2
Advanced Deep Learning and Computer Vision
Learn essential skills
Artificial Intelligence Engineer Learning Path
Advance your career with our AI Engineer Learning Path
Learn the concepts of data science, Artificial Intelligence (AI), and machine and deep learning techniques with this learning path created by our partner, Simplilearn, in collaboration with IBM. The learning path will teach you about the Python programming language, artificial neural networks, and the layers of data abstraction.
Learning objectives
By the end of the course, you will be able to:
- Explore AI applications in customer service, healthcare, and finance
- Implement search algorithms, neural networks, and tracking methods
- Solve problems using AI techniques and understand their limitations
- Gain hands-on experience with AI tools for real-world challenges
- Design intelligent agents for games, models, and decision-making systems
- Master TensorFlow functions, operations, and execution pipelines
- Understand machine learning concepts, including mathematical foundations
- Delve into advanced topics like CNNs and RNNs
- Deploy deep learning models using Docker, Kubernetes, and cloud environments
- Learn natural language processing with Python’s NLTK library
What you'll learn
Gain a deep understanding of AI applications across industries, and build expertise in classical AI techniques, including search algorithms, neural networks, and constraint satisfaction. You will also develop the ability to solve real-world problems with AI while understanding the current limitations of the technology.
Introduction to artificial intelligence
Begin your AI journey with a comprehensive introduction to the field. This course covers the foundational concepts of artificial intelligence, its applications across various industries, and its impact on the modern world. You’ll explore key AI techniques such as search algorithms, knowledge-based systems, and decision-making processes, equipping you with a solid understanding of how intelligent systems are developed and applied.
Data Science and Python
Learn the essentials of data science and Python, one of the most widely used programming languages in AI. This course focuses on data analysis, visualisation, and the statistical methods required for AI applications. You’ll gain hands-on experience using Python libraries such as NumPy, Pandas, and Matplotlib, building the skills to process and interpret data effectively, which is a critical foundation for machine learning and deep learning projects.
Machine learning
Master the principles and techniques of machine learning, the core of AI innovation. This course covers both supervised and unsupervised learning, as well as algorithms like decision trees, support vector machines, and clustering. You’ll also delve into the mathematical and heuristic aspects of machine learning, empowering you to build predictive models that adapt and improve through data-driven learning.
Deep learning with Keras and TensorFlow
Advance your expertise with deep learning, a transformative AI technology. This course provides in-depth knowledge of neural networks, including convolution and recurrent architectures. Using Keras and TensorFlow, you’ll learn to design, train and deploy deep learning models. By working on real-world projects, you’ll develop the skills to implement AI solutions for complex challenges in image recognition, natural language processing, and beyond.
What's included
- Artificial Intelligence Engineer Learning Path training
- 15+ real life projects providing hands-on experience
- Completion certificates from IBM and Simplilearn
- Portfolio-worthy capstone demonstrating mastered concepts
- Exclusive Hackathons and live interactions with IBM experts
FAQs
The Artificial Intelligence Engineer Learning Path provides comprehensive training in AI, machine learning, data science, and deep learning, equipping you with the skills to develop innovative, real-world solutions.
How is the learning path delivered?
For the Artificial Intelligence Engineer Learning Path, you will have access to our eLearning, as well as live virtual classes for the Applied Data Science with Python, Deep Learning with Keras and TensorFlow, and AI Capstone Project courses.
Over the course of your 12-month licence, you will be able to join several of these virtual classes so that you can revisit content as and when you need it. You will also have access to batch recording sessions.
Will I receive a completion certificate at the end of the course?
Yes, but you will need to meet the following criteria in order to receive your Artificial Intelligence Engineer certificate:
- Introduction to Artificial Intelligence course: Complete 85% of the eLearning, and pass an assessment test with at least 80%
- Applied Data Science with Python: Complete 85% of the eLearning or attend one live virtual classroom, pass the course-end assessment with a score of 75% or above, and pass one project
- Machine Learning: Complete 85% of the eLearning or attend one live virtual classroom, and pass one project
- Deep Learning with Keras and TensorFlow: Attend one live virtual classroom, pass the course-end assessment with a score of 70% or above, and pass one project
- AI Capstone Project: Attend one live virtual classroom and pass the capstone project
After I make my purchase, what are the next steps?
Once you’ve purchased this learning path, you will receive an email from ILX confirming your purchase and welcoming you to the Simplilearn learning pathway portal.
This email will contain a link for you to set up a password, and once complete, you will be prompted to sign in with the username and password. From there, you will be able to proceed to the learning portal where you can start your course.
Who should I contact for assistance once I’ve purchased my learning path?
If you have a query regarding your purchase, please get in touch with us at contactus@ilxgroup.com. If your query relates to the learning content or the online learning portal, please use the portal’s ‘help & support’ option in the top right corner of the screen.
What our customers say
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