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Paul Adeyemi
AI Engineer / Data ScientistIntelligence
Learn Artificial Intelligence (AI) in 4 Months
We are teaching you Artificial Intelligence with ease. Our highly experienced tutors are always here to give you the best. VOKS Institute is the best education platform around that will train you all you need to become a AI engineer. While learning with us, there is a quick test/assesment just to keep you on track while you continue with learning with us.
Overview
- Modules 6
- Topics 40
- Duration 80 hours
- Skill level Advance
- Language English
- Students 4
- Assessments Yes
- Hybrid class Yes
- Certification Yes
Course Description
This course teaches what every student should know about Artificial Intelligence. AI is a
fast-moving technology with impacts and implications for both our individual lives and society as
a whole. In this course, students will get a basic introduction to the building blocks and
components of artificial intelligence, learning about concepts like algorithms, machine learning,
and neural networks. Students will also explore how AI is already being used, and evaluate
problem areas of AI, such as bias.
The course also contains a balanced look at AI’s impact on
existing jobs, as well as its potential to create new and exciting career fields in the future. Students
will leave the course with a solid understanding of what AI is, how it works, areas of caution, and
what they can do with the technology.
Learning Outcomes
By the end of this program, students will be able to:
Describe what is AI, its applications, use cases, and how it is transforming our lives
Describe several issues and ethical concerns surrounding AI
Explain terms like Machine Learning, Deep Learning and Neural Networks
Articulate advice from experts about learning and starting a career in AI
Certification
You'll earn a diploma certification based on your ability to develop a autoresponding machines that can carry out task by itself without human interferance. The certificate will portraite you as a professional AI engineer.
Career Opportunities
Graduates will be prepared for entry level roles such as:
Machine Learning Engineer
Data Analyst
AI Developer
Data Scientist
Course Curriculum
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Introduction to Artificial Intelligence -
What is AI? History, types, and applications
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Basic concepts: decision making, search, knowledge representation, reasoning
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Ethical considerations and societal impact of AI
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Foundations of Machine Learning -
Supervised learning (regression, classification): algorithms, evaluation metrics
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Unsupervised learning (clustering, dimensionality reduction): algorithms, applications
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Ensemble methods and advanced topics (boosting, bagging)
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Python Programming for AI -
Introduction to Python: syntax, data structures, control flow
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Libraries for AI: NumPy, Pandas, Scikit-learn, TensorFlow
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Practical coding exercises with real-world datasets
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