AI Apprentice to AI Architect

AI Apprentice to AI Architect

R12 789.00

Artificial Intelligence (AI) is one of the fastest-growing fields in technology, with applications across industries like healthcare, finance, retail, manufacturing, and education. Skills in AI are in high demand, and AI-related roles offer high-paying and rewarding career paths. This Skillsoft Aspire Journey will teach you the skills required to become an AI Architect.

Online books Digital learning
Clock Start anytime
Study duration (Months)
Computer Skillsoft LMS access
Teacher and student Online Skillsoft mentor
Certificate Certified by Optimi College

Course fee: R12 789.00

Deposit: R2 200.00

Monthly instalment: R882.42

Payment duration: 12 months

Study duration: We recommend a total of 120 hours of study, e.g. study 1 hour per day and complete your course in 4 months.

Skillsoft course access: 12 months

Course code: C01040

 

Course overview:

  • Track 1: The focus is on AI development and theory, HCI principles and methods, AI development with Python, computer vision for AI and cognitive modelling.
  • Track 2: The focus is on Microsoft Cognitive Toolkit (CNTK), working with Keras, Apache Spark, Amazon Machine Learning, robotics, and Google BERT.
  • Track 3: The focus is on advanced CNTK, Keras, Apache Spark, Amazon Machine Learning and building intelligent information systems.
  • Track 4: The focus is on AI enterprise planning, reusable AI architecture patterns, current and future AI technologies and frameworks and XAI.

 

What are Aspire Journeys?

Aspire Journeys are guided learning paths designed and published by Skillsoft. These courses provide:

      • A clear starting point across the roles and responsibilities of tomorrow.
      • Exercises for on-the-job applications to put what you’ve learned into practice.
      • Verifiable, shareable, and portable digital badges so you can celebrate accomplishments along the way.
      • A diverse array of learning tools from the books to audiobooks to video courses, and more.

The learning path for each journey comprises tracks of content in a recommended order. Completing all content within a track completes the track. Completing all tracks within the journey completes the journey.

 

Modules and topics covered:

AI Architect Track 1: AI Apprentice

Artificial Intelligence: Basic AI Theory
Artificial Intelligence: Types of Artificial Intelligence
Artificial Intelligence: Human-computer Interaction Overview
Artificial Intelligence: Human-computer Interaction Methodologies
Python AI Development: Introduction
Python AI Development: Practice
Computer Vision: Introduction
Computer Vision: AI & Computer Vision
Cognitive Models: Overview of Cognitive Models
Cognitive Models: Approaches to Cognitive Learning
Final Exam: AI Apprentice

AI Architect Track 2: AI Developer

AI Framework Overview: AI Developer Role
AI Framework Overview: Development Frameworks
Working With Microsoft Cognitive Toolkit (CNTK)
Deep Learning Packages: Keras – a Neural Network Framework
Introducing Apache Spark for AI Development
Implementing AI With Amazon ML
Implementing AI Using Cognitive Modeling
Applying AI to Robotics
Working with Google BERT: Elements of BERT
Final Exam: AI Developer

AI Architect Track 3: AI Practitioner

The AI Practitioner: Role & Responsibilities
The AI Practitioner: Optimising AI Solutions
The AI Practitioner: Tuning AI Solutions
Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
Working With the Keras Framework
Using Apache Spark for AI Development
Extending Amazon Machine Learning
Using Intelligent Information Systems in AI
Final Exam: AI Practitioner

AI Architect Track 4: AI Architect

Elements of an Artificial Intelligence Architect
AI Enterprise Planning
AI in Industry
Leveraging Reusable AI Architecture Patterns
Evaluating Current and Future AI Technologies and Frameworks
Explainable AI
Final Exam: AI Architect

Academic grade: No minimum school pass requirements or formal prerequisites, but it is recommended that candidates have some experience in the lab or field.

Language: Proficiency in English (course material and support only available in English).

Expertise level: Intermediate

Equipment: Access to a PC or laptop with a reliable internet connection.

Effort: Self-paced learning online.

Course type: Short course

Industry partner: Skillsoft

Certification: Certificate confirming course completion.

Certification issued by: Optimi College

Assessment information:

Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track. There are no external certification exams for this course.

Dedicated support team

We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, WhatsApp and social media.

Skillsoft Learner Management System (LMS) access

Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.

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