Certificate in AI in Software Development: Agile Practices

Name: Certificate in AI in Software Development: Agile Practices
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The Certificate in AI in Software Development: Agile Practices is a comprehensive course designed to meet the surging industry demand for AI-driven software development. This program equips learners with essential skills in Agile methodologies, AI technologies, and software development, making them highly valuable in today's tech-driven job market.

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AboutThisCourse

By blending theory and practice, this course empowers learners to build AI-powered software applications using Agile techniques, promoting iterative development, collaboration, and flexibility. As AI continues to revolutionize the software development landscape, this course offers a competitive edge for career advancement in various sectors. Enroll in the Certificate in AI in Software Development: Agile Practices and master the art of AI-driven software development, enhancing your professional value and staying ahead in the ever-evolving tech industry.

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CourseDetails

• Unit 1: Introduction to AI in Software Development
• Unit 2: Agile Practices for AI-driven Projects
• Unit 3: AI Model Development with Agile Methodologies
• Unit 4: Implementing Continuous Integration and Continuous Deployment (CI/CD) in AI Projects
• Unit 5: Version Control for AI Model Development
• Unit 6: Testing and Validation Strategies for AI Systems
• Unit 7: Collaboration Tools and Techniques for Agile AI Teams
• Unit 8: Human-centered Design in AI Development
• Unit 9: Ethical Considerations in AI Project Management
• Unit 10: Best Practices for AI Product Release and Maintenance

CareerPath

In the AI software development landscape, several roles are in high demand, with varying salary ranges and skill requirements. The above 3D pie chart showcases the distribution of AI software development roles in the UK, providing a clear visual representation of the job market trends. 1. AI Engineer (35%): AI Engineers are responsible for designing, implementing, and managing AI solutions. They need a strong foundation in machine learning, deep learning, and data modeling. In the UK, AI Engineers can earn an average salary ranging from £50,000 to £90,000 annually. 2. Machine Learning Engineer (25%): Machine Learning Engineers focus on developing and implementing machine learning models. Their responsibilities include data preprocessing, feature engineering, and model optimization. Machine Learning Engineers in the UK can earn between £45,000 and £80,000 per year. 3. Data Scientist (20%): Data Scientists collect, analyze, and interpret large data sets to extract valuable insights. They require expertise in statistics, mathematics, and programming languages such as Python and R. Data Scientist salaries in the UK typically range from £40,000 to £75,000. 4. Software Developer (AI Focus) (15%): Software Developers with an AI focus are responsible for designing and implementing AI-based applications. They need strong programming skills and knowledge of AI technologies like TensorFlow and PyTorch. AI-focused Software Developers in the UK can earn £35,000 to £65,000. 5. AI Architect (5%): AI Architects design AI systems and oversee their development and implementation. They require extensive knowledge of AI technologies and architectural patterns. AI Architects in the UK can earn £70,000 to £150,000 per year.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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CERTIFICATE IN AI IN SOFTWARE DEVELOPMENT: AGILE PRACTICES

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London College of Foreign Trade (LCFT)

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05 May 2025

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