5 Hours
Course Description
Are you ready to be at the forefront of the digital revolution, where the fusion of software engineering and artificial intelligence (AI) is crafting the future of technology? Envision a world where software not only optimizes itself but predicts its users’ needs, elevates the quality of life, and solves complex problems with elegance and precision. This visionary scenario is not just a figment of the imagination—it’s becoming a reality, and with our comprehensive course, you’ll be equipped to lead this transformation.
Why is this course relevant today? As we stand on the cusp of a new era, AI integration within software development has transitioned from a novel experiment to an absolute necessity. Whether it’s optimizing cloud environments, revolutionizing user experience design, or constructing intelligent systems that solve real-world problems, the demand for skilled professionals in this domain has skyrocketed. This course is designed not just to keep pace with the industry but to propel you ahead of the curve.
Embark on a meticulously structured journey with us, traversing through the vast landscapes of AI in software development. Begin your adventure by delving into the historical evolution of AI within software engineering, exploring pivotal milestones from rule-based systems to sophisticated learning algorithms. Understand foundational AI technologies and their intrinsic roles in shaping software as we know it.
As you progress, the course will guide you through automating routine tasks, enhancing software design and architecture with AI, and leveraging machine learning for predictive analysis in project management. Our curriculum is designed with practicality in mind—expect to engage in hands-on projects that not only solidify theoretical understanding but equip you with marketable skills. From optimizing software design for scalability and performance to implementing AI in legacy systems for modernization, you’ll work through real-world scenarios that directly translate to professional achievements.
Uniquely, this course doesn’t stop at the technical. We venture into the ethical considerations of AI in software engineering, ensuring that as future leaders in this field, you are prepared to navigate the complexities of bias, fairness, and accountability. Through case studies and discussions, develop a nuanced understanding of responsible AI implementation.
What sets this course apart is not just the comprehensiveness of the content, but the way in which it is delivered. The lessons are crafted to facilitate an engaging, interactive learning experience, supported by a blend of lectures, real-world case studies, and projects that ensure a portfolio-ready outcome. Whether you’re a beginner eager to make your mark in the world of AI-enhanced software or a seasoned professional looking to deepen your expertise and stay ahead of technological advancements, our course is meticulously designed to meet you where you are.
For beginners, we walk you through the complex world of AI and software development step-by-step, ensuring that you gain confidence and competence with each module. For the more advanced learners, this course offers deep dives into algorithm complexity, AI-driven design transformations, and the latest innovations in AI tech, such as its applications in quantum computing and predictive analytics for next-generation software products.
By the end of this course, you’ll not only have a robust understanding of the core principles and applications of AI in software development but also a portfolio of projects demonstrating your ability to apply these technologies in solving complex, real-world problems. You’ll be primed to seize career opportunities in this dynamic field, equipped with the knowledge to lead projects and teams towards innovative solutions.
The future beckons with the promise of AI-driven innovation in software development—are you ready to answer the call? Together, let’s pave the way for a future where software not only thinks but evolves, making the world a smarter, more efficient, and more connected place.
Learning objectives
- Identify key milestones in AI’s integration into software development.
- Explain the transition from rule-based systems to learning algorithms.
- Describe the impact of early AI tools on software development.
- Analyze case studies of pioneering AI applications in software.
- Differentiate between machine learning and neural networks.
- Summarize the principles of natural language processing (NLP).
- Assess the role of data science in software engineering.
- Apply algorithm complexity concepts to software problems.
- Discuss foundational AI technologies in early applications.
- Implement automated testing techniques using AI.
- Utilize AI for code compilation and debugging.
- Create automated documentation and reports with AI tools.
- Enhance integrated development environments (IDEs) with AI.
- Optimize software design using machine learning algorithms.
- Apply AI in architectural pattern recognition.
- Refactor code automatically using AI-powered tools.
- Use AI for predictive analysis in project management.
- Integrate AI tools for risk management in software projects.
- Generate code suggestions using AI assistants.
- Employ AI for identifying and fixing bugs in software.
Topics covered
Click “AI’s evolution in software development-Download” to read the topics covered.
Course Duration:
This course may take up to 5 hours to be completed. However, actual study time differs as each learner uses their own training pace.
Course pre-requisites
There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course:
- Basic understanding of programming concepts and common languages such as Python or Java.
- Familiarity with software development principles and the software development life cycle (SDLC).
- An interest in artificial intelligence and its applications in software engineering.
The course is addressed to:
- Software Engineers and Developers: Professionals who are actively involved in software development and are looking to integrate AI technologies to enhance their work, optimize development processes, and solve complex problems more efficiently.
- Project Managers in Tech: Tech project managers who aim to apply AI-powered tools in project planning, execution, risk management, and team collaboration to improve project outcomes and productivity.
- Data Scientists and Analysts: Individuals specializing in data science and analytics who are interested in applying their skills within software development to leverage AI for data-driven decision making, predictive analysis, and enhancing software quality.
- UX/UI Designers: Designers focusing on user experience and interface who are eager to understand and utilize AI techniques for dynamic UI adaptation, understanding user behavior, and creating more personalized and engaging designs.
- Quality Assurance Professionals: QA testers and engineers looking to adopt AI in testing frameworks, dynamic test case generation, and real-time bug detection to improve test coverage, efficiency, and software quality.
- IT Managers and CTOs: IT leaders and decision-makers who are exploring the adoption of AI technologies to drive business innovation, competitive advantage, and strategic deployments within software development projects.
Training Method
The course is offered fully online using a self-paced approach. The learning units consist of videos. Learners may start, stop and resume their training at any time.
At the end of the course, participants take a Quiz to complete the course and earn a Certificate of Completion once the Quiz has been passed successfully.
Registration and Access
To register to this course, click on the Take this course button to pay online and receive your access instantly. If you are purchasing this course on behalf of others, please be advised that you will need to create or use their personal profile before finalizing your payment.
Access to the course is valid for 90 days.
If you wish to receive an invoice instead of paying online, please Contact us by email. Talk to us for our special Corporate Group rates.
Instructor
Peter Alkema is a highly accomplished Business and IT leader specialising in large scale technology delivery and digital transformation strategy implementation for leading financial services business. A proven record in driving the full development lifecycle at all levels across large and complex banking enterprises ensures a deep understanding of the challenges, opportunities and pathways to success for digital transformation in banking. By utilising innovation, awareness, and knowledge, able to drive high-level business strategy formulation, product and platform development, and change management.
Teaching 500k online students about Data Science, Machine Learning, Digital Transformation, Business, Academic, Self Development and Technology skills.
Business & IT leader specialising in large scale technology delivery, digital transformation and Agile software engineering (PhD). 24 years in the banking industry; 10 years consulting (Accenture) and 14 years working in banking (Absa & FNB).
Won the ITWeb Gartner Visionary CIO Of The Year in 2016 & featured on CNBC Africa. Founded and led the largest banking hackathon in South Africa which was featured on Harvard Business Review.
Professional skills: Digital Transformation, Technology, Agile, ERP, Programme Management, Innovation, Thought Leadership, Communication, Process Engineering, Online Training.
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