AI & ML BootCamp

AI & ML BootCamp

AI & Data Science

Artificial intelligence and machine learning, the technologies shaping the future and their foundation are now in your hands. Deep learning, natural language processing, and more!

What you will learn?

Skills:

  • Achieve mastery in advanced machine learning techniques
  • Enhance abilities in software development and algorithm optimization specifically tailored for AI applications.
  • Develop strong data engineering skills, including the ability to handle, process, and analyze large datasets efficiently
  • Cultivate advanced skills in model evaluation and refinement
  • Gain practical experience with cloud-based AI services and infrastructure
  • Support scalable machine learning models.
  • Implement and manage AI projects using agile methodologies
  • Ensuring efficient and effective project completion.

 

Knowledge:

  • Deepen understanding of theoretical concepts in artificial intelligence and their practical applications in industries.
  • Expand knowledge of state-of-the-art AI models, including transformers and large language models.
  • Explore the integration of AI with other emerging technologies such as blockchain and the Internet of Things (IoT).
  • Understand the regulatory and compliance landscape 
  • Gain insights into the future trends in AI and machine learning.

 

Attitude:

  • Develop a proactive approach to problem-solving
  • Foster ethical reasoning and sensitivity to the societal impacts of AI,
  • Encourage resilience and adaptability in the face of technological and methodological changes within the AI industry.
  • Promote teamwork and leadership skills

Project Accelerator

67 Parts

2 Chapters

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Skills Starter Pack

63 Parts

2 Chapters

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Python Programming Language

64 Parts

1 Chapters

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AI Fundamentals

24 Parts

3 Chapters

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Machine Learning Operations ML Ops

0 Parts

7 Chapters

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Machine Learning

7 Parts

5 Chapters

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The Art of Professional Presence

30 Parts

2 Chapters

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Natural Language Processing (NLP)

18 Parts

3 Chapters

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  • 240+ Journey Hours
  • 16+ Interactive Workshops
  • 6+ Tasks
  • 9 Weeks
  • Employability Impact
  • Arabic + English Artifacts Language

Requirements

  • Bachelor’s degree in computer science, computer engineering, mathematics, or a related field. Alternatively, significant practical experience in a technical or quantitative discipline may suffice.
  • Basic proficiency in programming, preferably in Python or a similar high-level language.
  • Fundamental understanding of data structures and algorithms.
  • Basic knowledge of statistics and probability.
  • Strong analytical and problem-solving abilities.

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