Enhance your career in Artificial Intelligence software development. Learn to take advantage of generative AI technologies, responsible AI principles, and other advanced methods in crafting applications powered by artificial intelligence.
Master cutting-edge AI technologies and generative AI, develop job-ready applications and gain hands-on experience using IBM’s AI tools and technology. Earn a Professional Certificate and digital badge from Coursera while showcasing your abilities to employers.
Introduction to AI
Artificial intelligence (AI) is revolutionizing industries, creating job opportunities and driving innovation. IBM offers an AI Developer Professional Certificate designed to advance your career by equipping you with all of the training necessary for becoming an industry leader in this fast-moving field.
This self-paced program will equip you with a deep knowledge of AI technologies, including generative AI. You will be equipped with skills needed to develop and deploy apps utilizing APIs like Watson, Python, and OpenCV; learn to create AI chatbots/virtual assistants without coding; develop image classification models using Python/OpenCV and build image classification models in Python/OpenCV as well as develop programming fundamentals for web.
Your understanding of machine learning will also deepen, with you developing a firm grasp on probability models and AI. You’ll discover how to model and train neural networks, understand fundamental machine learning algorithms, and apply them effectively when solving real-world issues. The course is ideal for professionals looking to boost their data science capabilities or gain new skills related to computer vision, NLP, robots or similar topics.
This self-paced program is tailored to professionals interested in understanding the business implications of AI technology and how best to integrate it into their organization. Participants will gain tools and techniques for developing a strategic AI roadmap as well as how to assess and secure applications of AI technology in their workplace environment. This course would benefit senior management, technology leaders, managers with limited technical knowledge as well as technology consultants or founders of AI startups.
Generative AI
Generative AI (Generative Artificial Intelligence) is an approach to machine learning that analyzes data to identify patterns and trends, then generates new information based on those patterns. The generated material could include images, texts or audio that appear human-made; using computer processing and algorithms like neural networks as well as models like Generative Adversarial Networks or Variational Autoencoders in order to replicate natural patterns within datasets.
Generative AI provides organizations with valuable consumer insights and market trends, providing crucial data for product development, market expansion and customer service. Generative AI also assists organizations by automating repetitive tasks to reduce manual labor burden – for instance allowing healthcare agencies to use it automate document processing so staff can focus on higher level mission priorities while increasing overall productivity.
Generative AI may produce outputs that are misleading or inaccurate, raising ethical concerns and leading to trust issues between parties involved. Organizations should establish clear guidelines and practices when it comes to using generative AI to prevent reputational damage or legal risks that might arise as a result.
Start off on the right foot with this Professional Certificate program in AI development, offering an self-paced path towards becoming an AI developer and machine learning engineer. As you explore foundational AI concepts, key terms, building blocks and applications – including generative AI – as you build AI-powered apps and chatbots, this course will delve deeply into AI concepts. Learn to implement common prompt engineering techniques and build large language models to implement intelligent chatbots on a website. Also develop expertise in HTML, JavaScript and Python programming through hands-on labs and projects. As part of your coursework, you’ll create real-world projects to demonstrate your capabilities to potential employers and build up a portfolio that showcases them to them. At completion, you will receive both a Professional Certificate from Coursera and digital badge from IBM along with career assistance, job search resources and interview preparation guidance.
Prompt Engineering
Prompt engineering refers to the practice of creating and optimizing prompts that enable AI models to produce useful output. It ensures that AI outputs are meaningful to intended users of an app; prompt engineering has become an integral component of generative AI as its models become ever more complex and varied.
Use of prompt engineering enables an AI model to be trained to respond specifically to input provided by its user, providing users with more control of and customizing it to meet their needs and expectations. It ensures output closely resembles human intent without inaccuracies arising in response; this type of customization has become increasingly crucial in text generation applications such as summarization, translation and answering of queries; these types of customisation methods have wide applications in many different domains such as chatbots, smart assistants and virtual robots.
Prompt engineering can bring numerous benefits for individuals and organizations alike. Individuals can save time working on AI-generated errors by quickly correcting them; organizations can reduce costs associated with AI content creation. Furthermore, prompt engineering helps increase ROI and shorten payback times on AI implementation projects by making sure AI systems produce results quickly enough.
AI development is a vast and rapidly-evolving field. To thrive within its realm, you must build an in-depth knowledge of foundational concepts like AI terminology and building blocks of AI applications; gain hands-on experience using varying programming frameworks such as HTML, JavaScript, Python, OpenAI GPT and IBM Watson; create cutting-edge AI tools which drive innovation; then put these talents to use by building real world projects such as sentiment analysis applications, voice translation systems, websites and much more powered by AI technologies that will prove yourself worthy of success within its vast reaches.
HTML & JavaScript
No matter your level of programming expertise or experience, this comprehensive course can give you industry-standard expertise to advance your AI career in just six months. Learn to design and implement intelligent software solutions that drive innovation – both desirable attributes for any AI Developer!
Your course will immerse you in front-end technology and build real world applications such as sentiment analysis apps, voice translators, and more. This immersive learning experience equips you with fundamental software engineering techniques such as HTML, JavaScript and Python programming; furthermore you’ll master cutting-edge AI technologies and generative models through an intensive series of courses that allow you to develop AI-powered apps and chatbots.
As demand for AI continues to soar, earning relevant credentials will allow you to showcase your skill set and further your career progression. IBM offers the AI Developer Professional Certificate which provides a solid foundation in artificial intelligence as well as tools needed for building and deploying intelligent solutions.
Start by reflecting on your career goals and analyzing your current skill set. When you know where you want your career to head, explore various means for developing those necessary skills–whether that is through an immersive bootcamp, traditional college degree program, or independent learning opportunities–each has their own advantages; ultimately the choice should reflect your individual needs and preferences.
Python
Python is a simple programming language designed for professionals across various industries, making it an excellent choice for machine learning (ML) and artificial intelligence (AI) projects. One of the most beloved among data scientists, it offers an incredibly robust yet flexible platform for developing applications for these fields – compatible with multiple ML algorithms and frameworks including deep neural networks.
As AI technology rapidly progresses, companies require software engineers with advanced AI development skills. This self-paced Professional Certificate course equips you with all of the skills required to become an AI developer – helping launch your career as an AI Software Engineer within six months!
This program blends foundational AI concepts with hands-on labs and real-world challenges to give you an in-depth knowledge of AI terminology and building blocks, as well as prompt engineering, HTML Script programming and Python. By the time you finish this course, you will possess an extensive understanding of these areas as well as having created your own portfolio of apps to use during interviews.
Building and deploying AI-powered open source projects on both cloud-based and embedded devices will enable you to develop a wide variety of applications ranging from sentiment analysis, speech translation, image recognition, robotics and more.