AI and Machine Learning 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.
For role specific AI/ML upskilling journeys see our programs for :
Our Artificial Intelligence (AI) training courses teach your team how to combine deep learning, Machine 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.
Leverage the power of ChatGPT to create innovative conversational AI applications for businesses or personal projects. This ChatGPT course gives attendees a solid understanding of essential concepts, techniques, and practical skills for creating, fine-tuning, and deploying chatbots powered by ChatGPT.
Web Age's 1-day Generative AI (Gen AI) course teaches the core concepts and components that power Gen AI. Students explore real-world applications and understand the challenges and ethical considerations this technology may present. This course also covers machine learning and effective prompting techniques.
In this AI course, attendees master the AI auditing processes and understand the importance of making AI transparent through explainability techniques. Students also learn AI's role in various sectors, best practices for system security, and the intricacies of AI design and deployment.
Harness the power of AI and Machine Learning (ML) to transform your business. Web Age's Machine Learning courses teach attendees 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 to thrive in AI and ML.
Protect your Machine Learning (ML) applications. This ML Security training course teaches developers the specialized secure coding skills needed to protect their ML applications from attacks. Attendees learn how to identify and address potential security vulnerabilities in their applications and how to avoid the security pitfalls of the Python programming language.
This Machine Learning (ML) training course teaches attendees the concepts, terminology, and practice of ML using neural networks. Students learn the architecture of artificial neural networks, activation functions, and more.
This intensive Python for Machine Learning (ML) training course teaches attendees ML concepts, including supervised and unsupervised learning, regression, classification, and clustering. Students learn how to implement ML algorithms in Python, a popular programming language for machine learning.
Unlock your creative potential using Generative AI with Web Age's Prompt Engineering courses. Attendees master the art of crafting and refining prompts in AI models, like OpenAI's GPT, to elicit custom responses. Our courses teach students to use Generative AI to generate text, code, images, and more. Learn from industry experts, master advanced prompting techniques, and explore diverse use cases across industries.
This Prompt Engineering course teaches software developers how to design and develop effective conversational AI applications using sound prompt engineering techniques. Participants learn how to create targeted custom prompts, resulting in more accurate and engaging conversational experiences. This AI course also teaches attendees techniques for designing, refining, and testing prompts.
This Generative AI Prompt Engineering course teaches students how to design and refine prompts for natural language processing (NLP) models. Students learn to select the right inputs, questions, and context to ensure the model generates accurate and relevant outputs. This course also focuses on prompt engineering for generative NLP models such as GPT (Generative Pre-trained Transformer).
This ChatGPT training course will teach you the fundamentals of prompt engineering for large language models (LLMs). Attendees learn how to craft effective prompts to guide LLMs in generating the desired output. Students also learn about different prompting techniques, including zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval-augmented generation.
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.
Understanding the core concepts of artificial intelligence, machine learning, or data science is impossible without knowing the fundamentals of linear algebra, calculus, statistics, and probability. This training course teaches the essentials in the respective fields of knowledge to prepare the learners to start or advance their careers in AI, machine learning, or data science.
This Spark and Machine Learning training teaches participants how to build, deploy, and maintain powerful data-driven solutions using Spark and its associated technologies. The course begins with an introduction to Spark, its architecture, and how it fits into the Hadoop and Cloud-based ecosystems. Participants learn to set up Spark environments using DataBricks Cloud, AWS EMR clusters, and SageMaker Studio. In addition, students learn about Spark's core functionalities, including RDDs, DataFrames, transformations, and actions.
In this Large Language Models (LLMs) course, participants learn how to build practical, innovative, and impactful applications using LMMs like ChatGPT. The course covers model selection, API integration, and prompt engineering. Participants also explore techniques for optimizing AI-generated content to ensure content safety and address biases in AI-driven applications.
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.
