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Learn to be an AI (Artificial Intelligence ) Engineer

Designing, building, deploying AI models  on web and crossplatform mobile app applications for industry use with latest technology build tools.

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AI Skills Fields

Machine Learning development

Machine learning (ML) (Machines learning from data) is a core field of Artificial Intelligence (AI) that allows computers to learn without explicit programming. Imagine teaching a student by giving them examples, not specific instructions. That's the core idea behind ML. The Learning Process: Data is king: ML algorithms rely on large amounts of data to identify patterns and relationships. The more data they have, the better they learn. Unleashing the algorithms: These algorithms are like formulas that analyze data and improve their performance over time. Two main approaches: There are two main categories of machine learning: 1. Supervised learning: The algorithm learns from labeled data, where the desired outcome is already known. For example, learning to identify spam emails based on past examples. 2. Unsupervised learning: The algorithm discovers hidden patterns in unlabeled data, like grouping similar customers together for targeted marketing. Real-world applications of ML are vast, including: Product recommendations: Recommending products you might like based on your purchase history. Fraud detection: Identifying suspicious financial activity. Medical diagnosis: Assisting doctors in analyzing medical images. Machine learning is a powerful tool that is revolutionizing many aspects of our lives.

Prerequisites

No digital skills prerequisites skills is required for this course. Programming languages and tools needed to design and program Machine Learning apps are provided in the course

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Tools

A desktop computer or a laptop with drive storage space not less than 500 GB; RAM size not less than 4 GB and a good CPU or GPU is required for an effective productivity. Getting an external 1080px monitor is a plus, which increases your screen real-estate for an increase productivity. A MacBook with the supported Mac OS installed or PC laptops running current versions of windows 10 OS / windows 11 OS or Linus machine with Ubuntu OS are preferable. Direction of other software tools to use for Machine Learning App development course will be directed during the class

Curriculum

Is a beginner and professional class course. You first learn our Computer Digital Literacy (CDL) 101 course and CDL 203 if you are a beginner in computing. And CDL 407 course then you learn the Machine Learning app development course.

Learning Curve

It approximately takes 6 - 14 months of
a Professional enrollment to cover the skills to be a Machine Learning app developer.

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Computer Vision

Seeing the World Through Machines Computer vision is a branch of artificial intelligence (AI) that empowers computers to interpret and understand visual information from the real world. In essence, it's teaching machines to "see." Think beyond simple images: Computer vision isn't just about recognizing objects in photos. It can analyze videos, interpret medical scans, or even guide robots in complex tasks. How it works: Computer vision relies on techniques like machine learning and deep learning to extract meaningful information from visual data. It can: 1. Identify objects and people 2. Classify scenes and environments 3. Track movement and activity With Real-world applications: Computer vision is transforming various fields, including: Self-driving cars: "Seeing" the road and navigating safely. Facial recognition: Unlocking phones or security systems. Medical imaging: Analyzing scans for early disease detection. Augmented reality: Overlaying digital information onto the real world. As computer vision continues to develop, it holds immense potential for even more innovative applications in the future.

Prerequisites

No digital skills prerequisites skills is required for this course. Programming languages and tools needed to design and program computer vision apps are provided in the course

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Tools

A desktop computer or a laptop with drive storage space not less than 500 GB; RAM size not less than 4 GB and a good CPU or GPU is required for an effective productivity. Getting an external 1080px monitor is a plus, which increases your screen real-estate for an increase productivity. A MacBook with the supported Mac OS installed or PC laptops running current versions of windows 10 OS / windows 11 OS or Linus machine with Ubuntu OS are preferable. Direction of other software tools to use for the Computer Vision App development course will be directed during the class

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Curriculum

Is a beginner class and professional course. You first learn our Computer Digital Literacy (CDL) 101 course and CDL 203 if you are a beginner in computing. And CDL 407 course then you learn the computer vision development course.

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Learning Curve

It approximately takes 3 - 9 months
to cover the skills to be a computer vision app developer.

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Natural Language processing

Natural Language Processing (NLP) is a field of AI that equips computers with the ability to process and understand human language, both written and spoken. It's like teaching a computer to speak our tongue! It Key Tasks are: 1. Understanding meaning: NLP goes beyond just recognizing words. It aims to grasp the context, sentiment, and intent behind language. 2. Generating text: NLP can be used to create human-like text, such as summaries of factual topics or even creative content. 3. Speech recognition and translation: NLP allows computers to understand spoken language and translate between languages. NLP is used in many technologies we interact with daily, including: Smart assistants: Understanding your voice commands. Machine translation: Breaking down language barriers. Chatbots: Providing customer service or answering your questions. Social media analysis: Understanding trends and public sentiment. NLP is a constantly evolving field, opening doors for more natural and intuitive interactions between humans and machines.

Prerequisites

No digital skills prerequisites skills is required for this course. Programming languages and tools needed to design and program NLP apps are provided in the course

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Tools

A desktop computer or a laptop with drive storage space not less than 500 GB; RAM size not less than 4 GB and a good CPU or GPU is required for an effective productivity. Getting an external 1080px monitor is a plus, which increases your screen real-estate for an increase productivity. A MacBook with the supported Mac OS installed or PC laptops running current versions of windows 10 OS / windows 11 OS or Linus machine with Ubuntu OS are preferable. Direction of other software tools to use for the NLP App development course will be directed during the class

Learn More 

Curriculum

Is a beginner and professional class course. You first learn our Computer Digital Literacy (CDL) 101 course and CDL 203 if you are a beginner in computing. And CDL 407 course then you learn the NLP app development course.

Learn More 

Learning Curve

It approximately takes 5 - 10 months to cover the skills to be an NLP app developer.

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AI Deep Learning

Deep learning is a powerful subfield of Artificial Intelligence (AI) that uses artificial neural networks to learn from vast amounts of data. Imagine it as a brain with many interconnected layers, processing information and making complex decisions.
Deep learning excels at tasks like: Image recognition: Identifying objects in photos and videos. Natural language processing: Understanding and generating human language. Speech recognition: Converting spoken words to text. Deep learning is a rapidly evolving field with a wide range of applications, making it a hot topic in AI research.

Prerequisites

No digital skills prerequisites skills is required for this course. Programming languages and tools needed to design and build AI deep learning course are provided in the course

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Tools

A desktop computer or a laptop with drive storage space not less than 500 GB; RAM size not less than 4 GB and a good CPU or GPU is required for an effective productivity. Getting an external 1080px monitor is a plus, which increases your screen real-estate for an increase productivity. A MacBook with the supported Mac OS installed or PC laptops running current versions of windows 10 OS / windows 11 OS or Linus machine with Ubuntu OS are preferable. Direction of other software tools to use for the deep learning AI development course will be directed during the class

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Curriculum

Is a beginner and professional class course. You first learn our Computer Digital Literacy (CDL) 101 course and CDL 203 if you are a beginner in computing. And CDL 407 course then you learn the AI deep learning course.

Learn More 

Learning Curve

It approximately takes 3 - 9 months of
to cover the skills to be an AI deep learning developer.

Learn More 
Pricing
Beginners Class
Gh₵ 220 /monthly 6 months online/offline Tutorials
Professional Class
14 months online/offline Tutorials
Enroll AsOther Skills