Artificial Intelligence Training Abuja

Godstime Edet
Godstime Edet
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About Course


The Artificial Intelligence course in Abuja, provides students with a comprehensive understanding of the core concepts, techniques and applications of AI. This course aims to equip learners with the knowledge and skills necessary to develop AI-powered solutions and leverage AI technologies in various domains. Through a combination of theoretical explanations, practical hands-on exercises, and real world case studies, students will gain insights into the exciting field of AI and its potential impact on various industries.



Upon successful completion of the course, students will have a solid understanding of AI principles, algorithms, and methodologies. They will be capable of building AI models, leveraging machine learning and deep learning techniques, and applying AI solutions to address real-world challenges across various domains. Students will also gain insights into the ethical implications of AI and its potential impact on society.


At the end of this course every student will comfortably be able to:

  • Understand the Foundations of AI
  • Develop Problem-Solving Skills
  • Explore Deep Learning Architectures
  • Apply AI Techniques to Real-World Scenarios


The course assessment will involve a combination of quizzes, programming assignments, individual or group projects, and a final exam. Students will be evaluated on their understanding of the theoretical concepts and their ability to apply AI techniques to practical problems. Active participation in discussions and hands-on exercises will also be considered for grading.

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WEEK 1: Introduction to AI

  • Definition of AI and its historical background
  • Various AI paradigms (symbolic AI, machine learning, deep learning, etc.)
  • Ethical considerations and societal impacts of AI

WEEK 2: Problem Solving and Search Algorithms

WEEK 3: Machine Learning Algorithms

WEEK 4: Knowledge Representation and Reasoning

WEEK 5: Deep Learning

WEEK 6: Computer Vision

WEEK 7: Natural Language Processing (NLP)

WEEK 8: Future Trends and Ethical Challenges

WEEK 9: AI in Practice

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