Dates
10 June – 20 July 2021
Duration
3 – 4 months
Location
Online
This programme aims to prepare learners to become proficient in designing, developing, deploying, testing, and maintaining software applications. Learners will become skilled in software design, database management, coding, and debugging to meet client needs, adding value to organisations. This qualification ensures learners are equipped with practical and theoretical knowledge to excel in the Software Engineering field within the Information and Communication Technology (ICT) industry.
After completion of the Software Engineering Learnership (NQF Level 5), the learner will be able to design software to meet clients’ needs, design and manipulate databases, develop software to add value to the organisation and test or debug source code to ensure client’s needs are met.
We anticipate the application form will take approximately 15 minutes to complete. You will need to create a new account to get started.
As soon as you submit your application, you will receive a receipt email.
You will receive a follow up email within two days of your application.
Your participation is not secured until payment is made.
As the programme is conducted in English, a good working knowledge of the language is essential.
Delegates who cancel their registration less than 15 working days prior to programme/course commencement, will be liable for 50% of the programme fee. Those who do not participate in the course without cancelling will still be liable for the full fee. Notification of cancellation must be sent in writing to the Programme Manager.
Accredited Certificate Learnership
After completion of the Business Analysis Learnership (NQF Level 6), the learner will be able to analyse a business scenario, develop a business case, compile user requirement specifications, develop functional specifications and monitor quality assurance activities throughout the life cycle of the project. Ultimately, this qualification is aimed at improving the productivity and efficiency of business analysts within all sectors in South Africa.
Tags: Online, Business Analysts, Project Management, Data Analytics, Process Mapping, Risk Assurance, Business Analyst Training, Tax Rebates, Skills Development
Accredited Certificate Learnership
After completion of the Software Engineering Learnership (NQF Level 5), the learner will be able to design software to meet clients’ needs, design and manipulate databases, develop software to add value to the organisation and test or debug source code to ensure client’s needs are met.
Tags: Online, Business Analysts, Project Management, Data Analytics, Process Mapping, Risk Assurance, Business Analyst Training, Tax Rebates, Skills Development
Accredited Certificate Learnership
After completion of the Data Science Learnership (NQF Level 5), the learner will be able to collect large amounts of structured and unstructured data from primary and secondary sources and extract and transform them into a usable format.Furthermore, the learner will be able to apply data analysis techniques to uncover patterns and trends in datasets (resultant sets of data that can be viewed as tables or as a “spreadsheet ofdata”) to solve business-related problems.Finally the learner will be able to prepare and present descriptive analytics reports on patterns and trends using computer programming languages and explain those patterns and trends through e.g., visualisation and storytelling etc., using data visualisation tools.
Tags: Online, Business Analysts, Project Management, Data Analytics, Process Mapping, Risk Assurance, Business Analyst Training, Tax Rebates, Skills Development, Data Science, NQF Level 5
Accredited Certificate Learnership
After completion of the RPA Developer Learnership (NQF Level 5), the learner will be able to develop RPA solutions which emulate human actions during the project development stage using platform knowledge and data analysis capabilities. The learner will also be able to execute test procedures for evaluating the performance of the RPA solution through test cases and decide whether it passes or fails and modify and improve existing RPA solutions and build reusable components (post-production).
Tags: Online, Business Analysts, Project Management, Data Analytics, RPA
