Content Marketing Specialist: What They Do and How to Become One
September 25, 2024
Article
Kickstart your career in artificial intelligence. Build job-ready skills in AI technologies, generative AI models, and programming and learn to build AI-powered chatbots and apps in just 6 months
Instructors: IBM Skills Network Team
150,935 already enrolled
Included with
(9,314 reviews)
Recommended experience
Beginner level
No prior AI or programming knowledge required. This Professional Certificate is suitable for learners with technical and non-technical backgrounds.
(9,314 reviews)
Recommended experience
Beginner level
No prior AI or programming knowledge required. This Professional Certificate is suitable for learners with technical and non-technical backgrounds.
Job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for
The fundamental concepts, key terms, building blocks, and applications of AI, encompassing generative AI
How to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies
How to use Python and Flask to develop and deploy AI applications on the web
Add to your LinkedIn profile
Improve your resume and LinkedIn with personalized feedback
Practice your skills with interactive tools and mock interviews
Plan your career move with Coursera's job search guide
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
As Artificial intelligence (AI) and generative AI revolutionize our world, the demand for AI Software Developers with the right cutting-edge skills is soaring. This IBM AI Developer Professional Certificate will equip you with sought-after expertize in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. No prior AI or programming experience required.
AI Developers are prized software engineers who design, develop, and implement AI and genAI powered apps And virtual assistants. They specialize in applying their programming expertize and integrating pre-built AI models and APIs to create intelligent software and solutions.
During this self-paced Professional Certificate program, you’ll master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript and Python programming. And through hands-on labs and projects, you’ll gain practical experience in building AI apps you can talk about in interviews.
Once you’ve successfully completed the program, you’ll have a Professional Certificate from Coursera and a digital badge from IBM that showcase your AI proficiency. And you’ll have access to career assistance, job search, and interview preparation resources.
Enroll in this IBM AI Developer Professional Certificate today and transform your career opportunities in just 6 months.
Applied Learning Project
Throughout this Professional Certificate, you will complete hands-on labs and projects that help you practice and apply your newly acquired generative AI and programming skills.
Examples of the projects you will complete include:
Develop a portfolio website using HTML, CSS and JavaScript.
Build a sentiment analysis application using Python, Flask and embedded AI libraries.
Give meaningful captions to your photos using Generative AI.
Create ChatGPT-like website with open source LLMs.
Create a voice assistant with OpenAI's GPT APIs and IBM Watson libraries.
Develop an AI meeting companion with Llama.
Summarize your private data with LLMs and generative AI.
Build “Babel Fish”, a voice enabled universal language translator with Flan and Gradio.
Describe software engineering, Software Development Lifecycle (SDLC), and software development tools, technologies and stacks.
List different types of programming languages and create basic programming constructs such as loops and conditions using Python.
Outline approaches to application architecture and design, patterns, and deployment architectures.
Summarize the skills required in software engineering and describe the career options it provides.
Describe what AI is and explain the core concepts related to AI
Demonstrate how AI applications and use cases can transform our lives and our work
Recognize the potential and impact of AI to transform businesses and careers
Describe the issues, limitations, and ethical concerns surrounding AI
Describe generative AI and distinguish it from discriminative AI.
Describe the capabilities of generative AI and its use cases in the real world.
Identify the applications of generative AI in different sectors and industries.
Explore common generative AI models and tools for text, code, image, audio, and video generation.
Explain the concept and relevance of prompt engineering in generative AI models.
Apply best practices for creating prompts and explore examples of impactful prompts.
Practice common prompt engineering techniques and approaches for writing effective prompts.
Explore commonly used tools for prompt engineering to aid with prompt engineering.
Describe the Web Application Development Ecosystem and terminology like front-end developer, back-end, server-side, and full stack.
Identify the developer tools and integrated development environments (IDEs) used by web developers.
Create and structure basic web pages using HTML and style them with CSS.
Develop dynamic web pages with interactive features using JavaScript.
Learn Python - the most popular programming language and for Data Science and Software Development.
Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.
Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.
Access and web scrape data using APIs and Python libraries like Beautiful Soup.
Describe the steps and processes involved in creating a Python application including the application development lifecycle
Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices
Explain the features of Flask and deploy applications on the web using the Flask framework
Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask
Explain the core concepts of generative AI models, AI technologies, and AI platforms such as IBM watsonx and Hugging Face.
Integrate and enhance large language models (LLMs) using RAG technology to infuse intelligence into apps and chatbots.
Utilize Python libraries like Flask and Gradio to create web applications that interact with generative AI models.
Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks.
Discuss how to generate code snippets, scripts, and programs using generative AI models
Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI
Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant
Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them
Describe the role of a software engineer and some career path options as well as the prospective opportunities in the field.
Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.
Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.
Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
Illinois Tech
Degree
Illinois Tech
Degree · 12-15 months
University of London
Degree · 3 – 6 years
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Upon completion of the program, you will receive an email from Acclaim with your IBM Badge recognizing your expertise in the field. Some badges are issued almost immediately after completion of the badge activities, while others may take 1-2 weeks before they are issued. Once issued, you will receive a notification email from admin@youracclaim.com with instructions for claiming the badge. Learn more about IBM Badges
An understanding of artificial intelligence can be used to support many careers, but some careers specifically require a background in AI. Some examples of careers in AI include:
- AI Developer
- Data Analyst
- Data Engineer
- Data Scientist
- Machine Learning Engineer
- Marketing Analyst
- Operations Analyst
- Quantitative Analyst
- Software Analyst
- Software Developer
- Software Engineer
- User Experience Engineer
This Professional Certificate consists of ten self-paced courses. Each course takes 4-6 weeks to complete if you spend 3-5 hours working through the course per week. At this rate, the entire Professional Certificate can be completed in 6-8 months. However, you are welcome to complete the program at a pace convenient to you.
This Professional Certificate is suitable for learners with both technical and non-technical backgrounds. Courses 1- 5 in the program do not require any programming knowledge. These courses will introduce to the basics of programming, software engineering, and artificial intelligence.
Course 6-8 introduces Python programming and Flask. In these courses, you will practice and apply Python programming concepts to build generative AI-powered apps and chatbots.
The final two courses build upon a foundation in software engineering and artificial intelligence. They require proficiency in programming and software engineering principles and are suitable for individuals seeking to advance their software engineering careers.
The courses in this Professional Certificate have been designed in a logical sequence. For optimal learning outcomes, it is recommended to take the courses in the order they are presented.
At this time there is no university credit for completing courses in this Professional Certificate.
After completing this Professional Certificate, you will be able to:
Describe software engineering, Software Development Lifecycle (SDLC), and various software development tools and technologies
Explain what AI is and its applications and use cases
Explain AI concepts and terminology, including machine learning, deep learning, and neural networks
Describe generative AI and distinguish it from discriminative AI
Explore common generative AI models and tools for text, code, image, audio, and video generation
Apply common prompt engineering techniques and approaches for writing effective prompts.
Develop dynamic web pages with interactive features using HTML, CSS, and JavaScript.
Practice and apply Python programming concepts for data science and AI
Explain the features of Flask and deploy applications on the web using the Flask framework
Create and deploy an AI-based application using Python and Flask.
Describe foundation models and LLMs and how these can be used to develop generative AI-based applications
Explain how generative AI platforms like IBM watsonx and Hugging Face can be used
Build generative AI-powered apps and chatbots with Python and various frameworks and AI technologies
Develop innovative solutions using generative AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant
Launch a software engineering career by exploring the role, potential paths, interview processes, and effective job search strategies.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹Based on Coursera learner outcome survey responses, United States, 2021.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.