Length: 10 courses
Price: $700/person (USD)
Access Length: 6 months
Bulk Pricing: 10+ Contact Us
Instant Access After Purchase
Lecture by Recorded Video
Stop and Start as Needed
Certificate of Completion
Software Lab Included?: No
Cloud Based (requires trial or license)
Welcome to the Cloud AI & Machine Learning Mastery - eLearning Bundle, your ultimate pathway to becoming a highly skilled professional in the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML) across leading cloud platforms. This unparalleled bundle is meticulously crafted for aspiring AI Engineers, Machine Learning Engineers, Data Scientists, Cloud Architects, and Developers eager to build, deploy, and manage intelligent solutions on AWS, Microsoft Azure, and Google Cloud Platform (GCP).
In an era where AI and machine learning are transforming every industry, the ability to leverage scalable cloud infrastructure is paramount. This master bundle provides a holistic, hands-on learning experience, guiding you from fundamental machine learning principles and data science techniques to advanced generative AI applications and autonomous AI agent development. You'll delve into diverse aspects of AI, including computer vision, natural language processing (NLP), and conversational AI, mastering essential tools like Python, TensorFlow, Keras, and Apache Spark's MLLib.
Gain practical expertise in building and operationalizing ML models with Azure Machine Learning and performing large-scale analytics with BigQuery ML on Google Cloud. You'll become proficient in developing chatbots and integrating cutting-edge OpenAI APIs, including ChatGPT and DALL-E, to create innovative AI tools. Furthermore, this bundle thoroughly prepares you for industry-recognized certifications such as Microsoft Azure AI Fundamentals (AI-900) and Azure AI Engineer Associate (AI-100), solidifying your credentials in the cloud AI space. With a strong emphasis on real-world projects, ethical AI considerations, and architectural best practices for data and AI, you'll be equipped to design, implement, and monitor robust, scalable, and cost-effective AI solutions.
What You Will Gain:The Cloud AI & Machine Learning Mastery - eLearning Bundle is designed for ambitious professionals who want to command a leading edge in the competitive AI and cloud computing landscape. If you're looking to acquire versatile, in-demand skills, achieve globally recognized certifications, and build a portfolio of impactful AI projects across multiple cloud environments, this bundle is your strategic investment. Transform your career and become the indispensable expert in cloud-powered AI and machine learning.
Build the Future with Cloud AI & Machine Learning. Enroll in the Cloud AI & Machine Learning Mastery - eLearning Bundle today and elevate your expertise!
Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.
This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.
Have more than 10 students needing this course? Contact Us for bulk pricing.
With the arrival of cloud computing and multi-core machines, we have enough compute capacity at our disposal to churn large volumes of data and dig out the hidden patterns contained in these mountains of data. This technology comes in handy, especially when handling Big Data. Today, companies collect and accumulate data at massive, unmanageable rates for website clicks, credit card transactions, GPS trails, social media interactions, and it is becoming a challenge to process all the valuable information and use it in a meaningful way. This is where machine learning algorithms come into the picture. These algorithms use all the collected “past” data to learn patterns and predict results or insights that help us make better decisions backed by actual analysis. You may have experienced various examples of machine learning in your daily life. Machine learning is used to build models from historical data, to forecast the future events with an acceptable level of reliability. This concept is known as predictive analytics. To get more accuracy in the analysis, we can also combine machine learning with other techniques such as data mining or statistical modeling. This progress in the field of machine learning is great news for the tech industry and humanity in general. But the downside is that there aren’t enough data scientists or machine learning engineers who understand these complex topics. Well, what if there was an easy to use web service in the cloud, which could do most of the heavy lifting for us? What if it scaled dynamically based on our data volume and velocity? The answer is the new cloud service from Microsoft called Azure machine learning.
Right now, applied machine learning is one of the most in-demand career fields in the world, and will continue to be for some time. Most of the applied machine learning is supervised.
That means models are built against existing datasets.
Most real-world machine learning models are built in the cloud or on large on-premises boxes. In the real world, we don’t build models on laptops or on desktop computers.
Google Cloud Platform’s BigQuery is a serverless, petabyte-scale data warehouse designed to house structured datasets and enable lightning-fast SQL queries. Data scientists and machine learning engineers can easily move their large datasets to BigQuery without having to worry about scale or administration, so you can focus on the tasks that really matter—generating powerful analysis and insights.
This course covers the basics of applied machine learning and an introduction to BigQuery ML. You will also learn how to build your own machine learning models at scale using BigQuery.
By the end of this course, you will be able to harness the benefits of GCP’s fully managed data warehousing service.
All resources to this course are placed here.
Step into the world of AI with this course, where you'll go from grasping the basics to crafting advanced AI applications. Master content creation, code generation, and prompt engineering, and explore generative AI with hands-on projects. Unleash the combined capabilities of ChatGPT and OpenAI's APIs to innovate and stand out in the tech industry.
This course will teach you the fundamental techniques used by real-world industry data scientists and prepare you for a move into this hot career path, whether you are a programmer looking to switch to an exciting new career track or a data analyst looking to make the transition into the tech industry. The A-Z of machine learning, artificial intelligence, and data mining approaches that actual employers are seeking will be covered in this course.
Explore the fundamentals and advanced concepts of AI agent development. This course guides you through building intelligent agents using the OpenAI API and LangGraph, with hands-on projects and a capstone project to apply your knowledge. Ideal for technical professionals aiming to excel in AI.
This is a reference handbook that'll enable enterprise data and AI architects to create best-in-class architectures for data engineering, data science, data warehousing, and data serving on Azure. This ebook also serves as a reference to help cloud architects to understand the operations required for building optimal architectures.
It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.
With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.
The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.
Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?
This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.
Public instructor-led AI course prices start at $460 per student. Group training discounts are available.
Self-Paced AI eLearning courses cost $475 at the starting point per student. Group purchase discounts are available.
A: If you are wondering what Generative AI skills are important to learn, we've written a Generative AI Skills and Learning Guide that maps out Generative AI skills that are key to master and which of our courses teaches each skill.
Learning Generative AI involves understanding the foundational concepts of artificial intelligence, machine learning, and deep learning, followed by hands-on practice with relevant tools and frameworks.
Certstaffix Training offers three efficient methods to pursue your Generative AI training: Engaging Live Online Classes, Tailored Onsite Corporate Training for teams and Self-Paced eLearning.
View our Generative AI courses and available training methods.
Learning Generative AI can vary in difficulty depending on your background and prior knowledge of related concepts.
For individuals with experience in computer science, programming, or machine learning, the process may be more straightforward as it builds upon foundational principles in these areas. For beginners, there can be a steeper learning curve since understanding Generative AI requires grasping concepts like neural networks, data preprocessing, and algorithm training.
However, with the right resources, such as Certstaffix structured courses, hands-on practice, and guidance from experienced instructors, anyone can gradually develop a strong understanding of Generative AI. Like any skill, persistence and consistent practice are key to mastering it.
The need for coding in Generative AI largely depends on the tools and platforms being used, as well as the user's goals. Modern Generative AI platforms, such as ChatGPT or DALL·E, often provide user-friendly interfaces that require little to no coding knowledge. These tools enable users to generate content, images, or text through simple commands or prompts.
However, for those looking to customize or build their own Generative AI models, coding is typically required. This may involve knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Understanding coding can also help in fine-tuning models, integrating AI into larger systems, or creating uniquely tailored applications.
Bottom line, while coding can enhance the scope of possibilities, it is not usually necessary for leveraging Generative AI's capabilities as an end user.
Absolutely, anyone with interest and dedication can learn AI. While having a background in mathematics, programming, or data science can be advantageous, they are not strict prerequisites. Numerous online courses, tutorials, and resources are available to cater to learners of all levels, from beginners to advanced practitioners. The key lies in starting with fundamental concepts, such as understanding algorithms and machine learning basics, and gradually advancing to more complex topics. With consistent effort, anyone can develop the skills required to explore and contribute to the exciting field of AI.
Deciding whether to pursue an AI course ultimately depends on your goals, interests, and career aspirations. AI is one of the fastest-growing fields, with applications spanning industries such as healthcare, finance, entertainment, and more. Taking a course can be a valuable investment, equipping you with the knowledge and skills to tap into these opportunities. Furthermore, structured courses often provide hands-on projects, mentorship, and certifications that can enhance your resume and increase your credibility in the job market.
However, it’s important to assess the quality of the course and its relevance to your objectives. A well-structured AI course should provide a balance of theoretical knowledge, like understanding algorithms or neural networks, and practical experience with tools such as TensorFlow or PyTorch. Whether you aim to transition into a career in AI, enhance your current role, or simply satiate your curiosity, an AI course can offer significant value when aligned with your ambitions and commitment to learning.
A: Many of Excel's features and functions are powered by artificial intelligence (AI) or have AI-like capabilities. These tools work to process large amounts of data for users, streamline workflows, and increase accuracy. Some of the best applications of AI in Excel include data analysis, data visualization, and formula generation, but it can also supercharge basic functions. Copilot allows users to harness the power of AI through prompts to provide relevant suggestions and shortcuts. Additionally, ChatGPT can be integrated with the program through the use of an add-on or used in tandem with Excel.
Certstaffix Training provides AI classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of AI concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your AI skills. Start learning today and see how Certstaffix Training can help you reach your goals.