Technology In
AI for App integration
This course teaches participants how to effectively incorporate artificial intelligence into application development. Designed for developers and product managers, it covers AI fundamentals, popular tools, API integration techniques, and data handling practices, along with real-world use cases. Through hands-on workshops and projects, students will learn to test and deploy AI models, enhancing functionality and user experience in their apps. By the end, participants will be well-equipped to leverage AI innovations in their development processes.
Overview
AI Fusion: Blending Smart Tech into Your Applications
Overview
Objectives
Course Learning Objectives
- Understand AI and machine learning concepts and their app development applications.
- Utilize AI libraries and cloud services for app integration.
- Integrate AI models into apps using APIs for seamless functionality.
- Learn best practices for data collection and management with privacy considerations.
- Explore AI applications across industries and their impact on user engagement.
- Gain hands-on experience in testing AI models and deployment strategies.
- Stay updated on emerging AI trends and their effects on app development.
- Implement innovative AI features that address user needs.
Student learning Objectives
- Analyze challenges in AI integration and develop strategies to overcome them.
- Explore user-centered design to enhance AI features and user satisfaction.
- Evaluate AI model performance using metrics and benchmarks.
- Study successful AI implementations and identify key success factors.
- Collaborate on team projects to design AI-driven solutions.
- Create a portfolio project showcasing AI integration skills.
- Discuss ethical considerations for responsible AI use.
- Engage in hands-on exercises for deploying AI solutions.
Benefits
With AI, the world is your oyster! It is an emerging field, rapidly growing, ever evolving and watched with a keen eye by industries and markets globally. There are many benefits to an education in AI:
In demand Career
With a Bachelor in artificial intelligence you are equipped with in-demand skills in the rapidly growing field of AI. Knowledge of developing AI systems, data analysis and AI techniques makes you valuable across industries, right from healthcare, finance, tech and more. This degree prepares you for career that has multiple options for diversification. AI professionals include AI engineers, data scientists, machine learning specialists, AI consultants, researchers and more. AI is transformative technology that is revolutionising the world. With an education background in AI, you are set up in an in-demand career field with an exciting future ahead!
Innovation and advancement
Applied AI is all about finding solutions and using AI systems to make life simpler. Applied AI draws on its solid foundation in Computer Science to analyse and provide solutions for real world challenges. You are prepared to address complex problems and contribute meaningfully in domains like healthcare diagnostics, fraud detection, autonomous vehicles, personalised recommendations and more. Being able to apply AI techniques for solving tasks makes for an extremely rewarding and impactful job role!
Solving real world problems
AI aims to constantly bridge the gap between natural intelligence and machine learning - it is a field of cutting edge research, innovation and advancing technology. This makes it ever evolving, with new algorithms, models and techniques being developed. By studying AI at an undergraduate level, you gain a strong foundation in AI fundamentals that help you better understand the latest advancements. You step into a career that empowers you to push the boundaries of AI, contribute to research and development and drive innovation in the field.
100% International
Study at your own pace from anywhere in the world
Recommended by 96% of our graduates
According to our latest alumni survey
50,000+ students
enrolled in Germany’s largest university
Study contents
Course Study Content
Course Content
- Overview of AI concepts and types of machine learning.
- Introduction to AI libraries (e.g., TensorFlow, PyTorch) and cloud services.
- Understanding RESTful APIs and hands-on integration exercises.
- Best practices for data collection, preprocessing, and ethical considerations.
- Case studies across industries and their impact on user engagement.
- Techniques for testing AI models and strategies for deployment.
- Exploration of current trends and future implications for app development.
- Design and implement an AI-driven feature; project presentation and evaluation.
Admission
Admission Criteria
Admission Criteria
- Basic understanding of programming, preferably in Python.
- Familiarity with app development concepts and practices.
- A background in computer science, software engineering, or a related field is beneficial but not required.
- A strong interest in artificial intelligence and its applications in technology.
- Submission of a short statement of purpose outlining goals for taking the course.
Careers
Careers
Here are some career paths in the field of AI for app integration:
- AI Developer: Focus on building and integrating AI models into applications.
- Machine Learning Engineer: Specialize in designing, implementing, and optimizing machine learning algorithms.
- Data Scientist: Analyze and interpret complex data to inform AI model development.
- AI Product Manager: Oversee the development of AI-driven products, ensuring alignment with user needs.
- Software Engineer: Develop software applications with integrated AI features.
- Data Engineer: Build and maintain the infrastructure for data collection and processing.
- AI Research Scientist: Conduct research to advance the field of AI and develop new algorithms.
- DevOps Engineer: Focus on deployment and maintenance of AI applications in production environments.
- User Experience (UX) Designer: Design intuitive interfaces for AI-driven applications, enhancing user interaction.
- Ethics Consultant: Advise organizations on ethical implications and best practices for AI use.
Student reviews
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Ceo & Founder
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Designer
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Freelancer
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Tuition fees
AI for App integration (Duration 1 Hours)
“Learn to integrate artificial intelligence into applications, enhancing functionality and user experience through hands-on projects and real-world case studies.”
All our study programmes include the following benefits
- Teaching and study material
- Marking of your end-of-module exams
- Monthly live and recorded tutorials
- Use of the online campus
- Individual study coaching
- Online exams
- Career coaching
- Learn English for free
Our global recognition
IU is recognised by WES Canada and U.S., which means your degree can be converted to points in the local system for purposes of immigration, work, or studies.
As the first EU institution in UNESCO's Global Education Coalition, IU is committed to ensuring accessible quality education to students in crisis worldwide through free online micro-credentials.
Our company partners
For over 20 years, IU has established partnerships with leading global companies. This offers you the chance to gain firsthand experience through internships and projects and allow us to adapt our learning content to the ever-evolving needs of the labour market. You'll benefit from an education designed to bridge the gap between theory and real-world practice, ensuring your readiness for your future career.
Recognition
Recognition of previous achievements
Have you already completed a training course, studied at a university or gained work experience? Have you completed a course or a learning path through EPIBM LinkedIn Learning, and earned a certificate? Then you have the opportunity to get your previous achievements recognised, and complete your studies at EPIBM sooner.
Save time:
Skip individual modules or whole semesters!
Even before you apply for a study programme, we’ll gladly check whether we can take your previous achievements into account: 100% online, no strings attached. Simply fill in our recognition application form, which you can find under the content section of each study programme's webpage, and upload it via our upload section. You can also e-mail it to us, or send it via post.
Send an email to [email protected] to find out which previous achievements you can get recognised. You can get your previous achievements recognised during your studies.
Recognition files
Autonomous vehicles developer
With AI, the world is your oyster! It is an emerging field, rapidly growing, ever evolving and watched with a keen eye by industries and markets globally. There are many benefits to an education in AI:
That’s why after graduating, you’ll be able to apply your professional skills and knowledge, and work for development teams at any sector you find appealing.
Augmented reality (AR/VR) developer
Virtual (or augmented) reality isn’t all just fun and games, as great and enjoyable as that aspect is. It can also be used for groundbreaking social and psychological research, defensive purposes and therapy.
With an Applied Artificial Intelligence degree from IU University of Applied Sciences, you can take part in this vital field of technological development, and work on a wide variety of interesting projects.
Change what the world thinks about the possibilities that AI offers, and make a real difference in people’s lives, while enjoying every step of the process.
F.A.Q
Frequently Asked Questions
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