AI/ML and RPA Training
Leverage the Power of AI to Streamline Processes and Make Predictions
Machine learning (ML) is a subset of Artificial Intelligence (AI) that allows computers to learn from data without any programming intervention. ML algorithms use data to identify patterns and learn from them, making it possible to automate tasks and predict outcomes.
Web Age Solution’s live, instructor-led AI and ML training courses are taught by data science experts who are also seasoned trainers. All courses incorporate real-world techniques and hands-on practice to build AI applications that can be tailored for your group.
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Our Artificial Intelligence (AI) training courses teach your team how to combine deep learning, ML, and AI practices to build AI solutions for unique business challenges. Our AI courses include topics on Ethical AI, AI Security, Generative AI, AI Engineering, Large Language Models (LLMs), and more.
We can customize any AI course to meet your team's experience levels and goals.
In this Generative AI course, participants gain a thorough understanding of this powerful technology through hands-on practice.
Harness the power of AI and Machine Learning (ML) to transform your business. Discover how ML algorithms, trained on data, can automate tasks, predict outcomes, and generate valuable insights. Master Python, Neural Networks (NN), Natural Language Processing (NLP), and more, to efficiently build and deploy secure ML models. Web Age's customizable ML training programs give your team the skills they need to thrive in the world of AI and ML.
Web Age's hands-on Robotic Process Automation (RPA) training empowers you to streamline operations and transform your business with efficient, automated processes. Learn to enhance customer experiences by automating complex workflows with leading RPA platforms like UiPath. Master best practices and learn to implement RPA across your organization through interactive workshops, real-world case studies, and project-based activities, gaining practical skill development.
Master the art of crafting and refining prompts in AI models like OpenAI's GPT to elicit custom responses and leverage Generative AI to generate text, code, images, and more. Learn from industry experts, master advanced prompting techniques, and explore diverse use cases across industries. Unlock your creative potential using Generative AI with Web Age's Prompt Engineering courses.
Modern deep learning challenges leverage increasingly larger datasets and more complex models. As a result, significant computational power is required to train models effectively and efficiently. Learning to distribute data across multiple GPUs during deep learning model training makes possible an incredible wealth of new applications utilizing deep learning. Additionally, the effective use of systems with multiple GPUs reduces training time, allowing for faster application development and much faster iteration cycles. Teams who are able to perform training using multiple GPUs will have an edge, building models trained on more data in shorter periods of time and with greater engineer productivity.
The replication of human intellectual processes by machines, particularly computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, and machine vision are examples of AI applications.
Today, the amount of data that is generated, by both humans and machines, far outpaces humans’ ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making.
There are many useful applications of AI that have changed our lives such as Google Maps, self-driving cars, automated marketing, e-commerce recommendation systems, automated fraud detection, and many more.
Artificial Intelligence is the broader concept of endowing machines with intelligence, whether it is emotional intelligence, social intelligence, logical intelligence, planning, creativity, etc.
Machine Learning is a subfield of AI, it can be seen as a way to implement decision-making in AI and getting computers to learn.
Yes! Our AI training is available as “onsite live training” or “online live training”. Onsite live AI training can be carried out locally on customer premises or in Web Age corporate training centers. Our live online AI training is carried out by way of an interactive, remote desktop.
We can customize any AI course to meet your team’s experience levels and goals.
Since the hype generated for Artificial Intelligence in the modern era is massive, it has a lot of pros.
Apart from the many job opportunities created by AI, it also has other pros, such as the completion of looping or repetitive tasks that humans need to perform without the disadvantage of a human-prone error.
AI has the ability to perform faster computations compared to human speed on a wide range of problems with precise results. There are also many real-life applications to make our daily lives simpler. The pros of Artificial Intelligence are limitless.