IBM Applied AI Professional Certificate Online
Develop practical skills in Python and IBM applied AI thanks to deep learning courses that show you how to design, build and deploy AI-powered apps.
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Get unlimited access to over 10,000 offerings found on the Coursera website – including guided projects, specializations and professional certificates offered by hundreds of leading universities and companies. You also get access to all 46 professional certificates found in the Franklin Marketplace.
LEARN MOREWhat You Will Learn
- Gain an understanding of artificial intelligence (AI) concepts, including machine learning, deep learning and neural networks
- Use IBM Watson to develop and deploy chatbots and virtual assistants
- Learn Python programming basics, including working with data and solving real-world problems
- Develop AI-enabled apps, create interactive information retrieval systems, and build and run unit tests
About the IBM Applied AI Professional Certificate
Let this IBM Applied AI Professional Certificate kick-start your AI career. Through the six courses in this program, you'll learn the in-demand skills needed by AI developers and professionals, including Python, IBM Watson AI services, and APIs.
This specialization is ideal for those looking to explore machine learning and computer vision techniques in applying AI and AI-powered solutions to support smart devices, valuable data and efficient Cloud-based tools.
Through self-paced coursework and hands-on projects, you’ll gain a better understanding of the transformative power of AI and its application and use cases. You'll also create and deploy a variety of smart solutions, including a chatbot, computer vision web app, and speech-enabled virtual assistants for social media.
This Professional Certificate program is ideal for individuals who like to learn, grow, and experiment, and who have a passion for innovation and technology. Upon completion, you'll be prepared to pursue a variety of AI-focused career positions, including ML engineer, AI developer and data engineer. Plus, you will have earned the widely recognized IBM badge that demonstrates your proficiency in the emerging technologies of AI.
Required IBM Applied AI Professional Certificate Courses
BEGINNER | Computer Science | Self-paced | 14 hours
Are you curious about the lucrative field that is software engineering and how you might be a part of it? This is the course for you! By taking this course, you will gain foundational knowledge of software development, programming, and the many exciting job roles and career paths that the IT industry offers. Learn about the power of the Software Development Lifecycle (SDLC), and modern software development frameworks methodologies like Agile and Scrum. Explore fundamental programming principles and foundations of design, architecture, and deployment. The course offers a number of labs that will help you get important hands-on experience. These include getting started with an IDE, the basics of programming in Python, and Hello World in 10 languages. The field of software engineering is growing at an estimated rate of 22% according to the US Bureau of Labor and Statistics. In addition to aspiring software engineers, front-end, back-end, full-stack developers, and DevOps professionals, this course is also suitable for those in related careers such as Product and Project Managers, IT Managers, Information Developers, UI/UX designers, and others who communicate and interact with software engineers. You will learn about the different job opportunities and possible career paths in software engineering and hear from industry professionals about their daily work. Software engineering professionals are in great demand, and now is the right time to learn more about this exciting domain. Start by enrolling now!
BEGINNER | Data Science | Self-paced | 13 hours
Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.
BEGINNER | Data Science | Self-paced | 8 hours
This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.
BEGINNER | Data Science | Self-paced | 9 hours
As generative AI (GenAI) continues to reshape the workplace and redefine job roles, the ability to use it effectively is becoming a must-have skill. Prompt engineering is the key to effectively guiding GenAI models and controlling their output to produce desired results. This course is designed for professionals, executives, students, and AI enthusiasts who want to leverage the power of prompt engineering to maximize the capabilities of GenAI tools like ChatGPT. You’ll learn practical techniques, structured approaches, and best practices for crafting effective prompts. Explore core prompting techniques like zero-shot and few-shot to enhance the reliability and quality of large language model (LLM) outputs. Learn practical approaches such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to generate more accurate responses. Gain hands-on experience with advanced methods like multimodal prompting, the playoff method, and image generation techniques. Learn to craft prompts that blend text and visuals and evaluate AI responses more effectively. The techniques and approaches are taught using hands-on labs and projects using real-world-inspired examples. You will also hear from practitioners about the techniques and approaches used in prompt engineering and the art of writing effective prompts.
BEGINNER | Computer Science | Self-paced | 15 hours
Want to take the first steps to become a Web Developer? This course will help you discover the languages, frameworks, and tools you will need to create interactive and engaging websites right from the beginning. You’ll begin by understanding the roles of front-end, back-end, and full-stack developers and how they collaborate, along with the terminology and skills essential for a web development career. Next, you’ll dive deep into HTML5—learning about structural elements like section, article, header, footer, and form controls such as input, fieldset, and legend. You’ll also explore the Document Object Model (DOM), scripting basics, and browser compatibility. Moving on to CSS, you’ll learn how to style and format web pages using selectors, IDs, and classes. You’ll explore layout tools like Flexbox and gain hands-on experience with responsive design using frameworks such as Tailwind CSS and Bootstrap. In JavaScript, you'll learn about variables, control structures, functions, prototypes, and how to interact with the DOM, along with practical experience using APIs and client-side scripting techniques to enhance user interaction. By learning the fundamentals of HTML5, CSS, and JavaScript, you will be able to combine them to: - Create the basic structure of a website - Create format and layout for web applications - Enhance your website and create rich, interactive applications - Increase user interactivity and enhance user experience - Give your website a real wow factor! Throughout the course, you'll apply your learning through numerous hands-on labs and conclude with a final project where you'll build a webpage to showcase your skills and strengthen your portfolio.
BEGINNER | Data Science | Self-paced | 25 hours
Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles.
INTERMEDIATE | Computer Science | Self-paced | 11 hours
This short course is designed to equip learners with foundational skills in Python for developing AI-enabled web applications using the Flask framework and Watson AI libraries. You will explore the end-to-end lifecycle of building scalable web applications, starting from writing clean and modular Python code to deploying complete AI-powered solutions. The course begins by introducing Flask, a lightweight and flexible web framework, and helps learners build a strong foundation in web applications, APIs, and the overall development lifecycle. They will gain practical experience with the IBM Skills Network Cloud IDE, learn Python best practices including static code analysis, and write and run unit tests to ensure the reliability of their code. The course dives deeper into application development by teaching learners to build web applications with Flask covering topics such as routing, handling GET and POST requests, dynamic routes, and error management. By the end of the course, learners will complete a practice project and a final peer-reviewed project that showcases their ability to develop, test, and deploy AI-powered Flask applications. The hands-on experience gained throughout this course ensures learners are not only confident in their Python and Flask skills but are also ready to build intelligent web applications in real-world settings.
INTERMEDIATE | Data Science | Self-paced | 15 hours
Ready for an interactive learning experience to build real-world generative AI applications and chatbots? In this hands-on course, you’ll develop a series of guided projects using Python, Flask, Gradio, and LangChain to create AI-powered applications for practical scenarios, including a voice assistant, a meeting summarizer, a language translator, and a personalized career coach. You’ll work with popular large language models (LLMs) such as GPT-3, Llama 2, and Flan-UL2, hosted on platforms like IBM watsonx and Hugging Face. You’ll also explore advanced concepts, such as retrieval-augmented generation (RAG), to enhance LLM responses with external knowledge, and integrate speech-to-text (STT) and text-to-speech (TTS) using IBM Watson® Speech Libraries and OpenAI Whisper to enable voice interactions. While a basic understanding of Python is essential, knowledge of HTML, CSS, or JavaScript is helpful but not required. The course includes supporting readings and videos to build foundational knowledge of the models and frameworks used. In addition, a comprehensive course glossary will help reinforce your learning.
INTERMEDIATE | Information Technology | Self-paced | 18 hours
Generative AI is transforming the field of software engineering, making it a crucial skill for developers to have in their toolkit. This IBM course is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes. This course offers the skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development. Through a combination of videos, hands-on exercises, demos, and projects, you will learn how to use generative AI models to automate various aspects of development, including code generation, software design and architecture, bug detection, testing, and optimization. You will also explore how generative AI integrates into DevSecOps, CI/CD pipelines, and documentation workflows, along with tools for code translation, review, and security enhancement. Key concepts like large language models (LLMs), natural language processing (NLP), and prompt engineering are also covered to help you understand the technology behind the tools. Ethical considerations and responsible AI practices are addressed to ensure you use AI to its full potential while maintaining integrity and transparency. The course culminates in a real-world final project, allowing you to apply your knowledge in building an AI-powered solution. Enroll today to get the most out of AI for developing software and boost your career!
BEGINNER | Information Technology | Self-paced | 11 hours
Software engineering professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a strong candidate for a software engineering position. It provides practical techniques for creating essential job-seeking materials such as a resume and portfolio, along with supporting tools like a cover letter and an elevator pitch. You’ll also learn how to conduct company and industry research, identify the right roles for your interests and skill level, and build a targeted job search strategy. You’ll get guidance on how to network both online and offline, assess job listings, and submit high-quality applications. The course will also walk you through each stage of the interview process, from initial screenings to coding challenges, second-round interviews, and final conversations with hiring teams. It doesn’t stop there. You’ll get inside tips on how to follow up professionally after an interview and reflect on your performance to continuously improve. You’ll also gain insight into the regular responsibilities and tasks of software developers, explore career pathways, and learn from experts who have successfully navigated the tech industry. Throughout the course, seasoned software professionals share their own career journeys and advice, offering practical strategies for networking, preparing for interviews, and standing out in technical evaluations. This course will prepare learners for roles with various titles, including Software Engineer, Software Developer, Application Developer, Full-Stack Developer, Front-End Developer, Back-End Developer, DevOps Engineer, and Mobile App Developer.Complete This Certificate. Get College Credit.
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Bolster Your Professional Skills
Take back control or rethink your career by strengthening your skills with a Professional Certificate through Franklin. Learn, hone or master job-related skills with professional development classes that won't break the bank or gobble up your free time. These online courses let you feed your curiosity and develop new skills that have real value in the workplace. Learn at your own pace. Cancel your subscription anytime.
Showcase Your Capabilities
Through Franklin’s partnership with Coursera, Certificate courses let you apply your learnings and build a career portfolio that helps demonstrate your professional capabilities to employers. Whether you're moving into a new field or progressing in your current one, the hands-on projects offer real-world examples that help illustrate your skills and abilities. Project completion is required to earn your Certificate.
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Get noticed by hiring managers and by your network of professional connections when you add a Professional Certificate to your credentials. Many Certificates are step toward full certification while others are the start of a new career journey. At Franklin, your Certificate also may be evaluated for course credit if you decide to enroll in one of our many degree programs.
Frequently Asked Questions
When you enroll in this self-paced certificate program, you decide how quickly you want to complete each of the courses in the specialization. To access the courses, you pay a small monthly cost of $35, so the total cost of your Professional Certificate depends on you. Plus, you can take a break or cancel your subscription anytime.
It takes an average of 3-4 months to complete the courses and hands-on projects to earn your certificate.
No prior experienced is needed for this beginner-level series. Enroll now.
Your certificate will allow you to demonstrate your proficiency in applied AI, including building and applying AI technology, including creating smart applications with IBM Watson AI services, OpenCV and APIs.
No. Courses offered through the Marketplace are for all learners. There is no application or admission process.
Please submit your certificate to plc@franklin.edu for review and processing. After your official evaluation has been completed, please review it to ensure that all eligible credits have been applied.
You can submit documentation before or after you apply to Franklin.