Cloud AI & Machine Learning Mastery - eLearning Bundle CourseNew

Programming

Course Details:

Length: 10 courses

Price: $700/person (USD)

Access Length: 6 months

Bulk Pricing: 10+ Contact Us

Course Features:

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)

Delivery Methods:

 Self-Paced Online

Individuals & Groups
@ Your Location


 

Course Overview

Cloud AI & Machine Learning Mastery - eLearning Bundle: Your Pathway to Multi-Cloud AI Expertise

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:
  • Multi-Cloud AI & ML Expertise: Master core machine learning and AI concepts and their practical implementation across AWS, Microsoft Azure, and Google Cloud Platform.
  • Foundational to Advanced ML & Data Science: Build a strong foundation in machine learning, data visualization, and advanced data science techniques, including supervised, unsupervised, neural networks, and reinforcement learning.
  • Generative AI & OpenAI API Mastery: Learn to leverage ChatGPT, OpenAI APIs (including DALL-E), and LangGraph to build innovative generative AI tools and autonomous AI agents in Python.
  • Comprehensive Azure AI Skills: Prepare for and excel in the AI-900 and AI-100 Azure AI certifications, covering AI workloads, machine learning principles, computer vision, NLP, and conversational AI on Azure.
  • Big Data Machine Learning with GCP: Apply machine learning models at scale using BigQuery ML on Google Cloud Platform for powerful predictive analytics.
  • Practical AI Application Development: Gain hands-on experience in building chatbots, implementing face recognition, developing AI pipelines, and integrating AI solutions with web applications.
  • Architectural Design & Best Practices: Understand how to design scalable, secure, and compliant data and AI architectures on Azure, including data orchestration, transformation, and governance.
  • Python for AI/ML: Become proficient in using Python with relevant libraries and SDKs (Boto3, TensorFlow, Keras) for developing sophisticated AI and machine learning solutions.
Why This Bundle?

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.

 


Course Notes


Important Course Information
This is a Lecture-Only eLearning Course. If you would like to practice any hands-on activities, you must use your own software.

Course Objectives:
  • Master Core Machine Learning & AI Concepts:
    • Understand fundamental principles of machine learning (supervised, unsupervised, neural networks, reinforcement learning) and responsible AI, along with data science techniques.
  • Implement Cloud Machine Learning Across Platforms:
    • Build and run machine learning experiments, including classification and regression models, on AWS, Azure Machine Learning, and Google Cloud's BigQuery ML.
  • Develop Generative AI Tools & Agents:
    • Gain hands-on experience in generating content and code using ChatGPT and OpenAI APIs, and building autonomous AI agents with LangGraph.
  • Apply Computer Vision and Natural Language Processing (NLP) Skills:
    • Utilize Azure's computer vision services for tasks like image classification, object detection, face recognition, and implement NLP techniques such as text translation.
  • Design and Build Conversational AI Solutions:
    • Create intelligent chatbots using frameworks like Azure Bot Framework and integrate them into various channels.
  • Architect and Implement Cloud AI Solutions:
    • Learn to design scalable, cost-effective, and compliant data and AI architectures on Azure, including developing AI pipelines and monitoring solutions.
  • Leverage Python for Advanced AI/ML Development:
    • Become proficient in using Python with key libraries (TensorFlow, Keras, Matplotlib, Seaborn, Apache Spark MLLib) and cloud SDKs (Boto3) for complex AI applications.
  • Prepare for Azure AI Certifications (AI-900 & AI-100):
    • Acquire the comprehensive knowledge and practical skills necessary to pass both the Microsoft Azure AI Fundamentals and Azure AI Engineer Associate certification exams.
Target Audience
  • Aspiring AI/Machine Learning Engineers: Individuals seeking to design, build, and deploy AI/ML solutions across various cloud platforms.
  • Data Scientists & Analysts: Professionals looking to scale their data analysis and machine learning models in cloud environments.
  • Cloud Architects & Developers: Those aiming to specialize in AI/ML solutions within AWS, Azure, and GCP ecosystems.
  • Python Developers: Programmers eager to apply their Python skills to advanced AI, machine learning, and generative AI applications.
  • IT Professionals: Individuals seeking to broaden their expertise in cutting-edge cloud AI technologies and gain industry-recognized certifications.
  • Technical Professionals (with a foundational understanding of programming/cloud concepts) who want to become versatile experts in the rapidly expanding field of cloud-based AI and machine learning.
Key Features
  • Audio Narration
  • Video
  • Inline Activities
  • Exercises
  • Quizzes
  • Supplemental Resources
Languages
  • Audio/Video/Course Text: English.
  • Subtitles (Closed Caption): N/A.
Course Duration
  • Cloud AI & Machine Learning Mastery: 42 hrs 33 min
  • Essential Career Skills Pack: 2 hrs 23 min

 


eLearning Training Delivery Method

Learn at Your Own Pace

This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.

How It Works

  • A Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.
  • Lecture utilizing video and recorded screenshots
  • 6-month subscription length
  • Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

 


Course Topics

Machine Learning in the Cloud With Azure Machine Learning

Course Duration - 2 hrs 59 min

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.

Course Objectives:
Course Objectives:
  • Define Azure machine learning
  • Identify various machine learning algorithms supported by Azure machine learning
  • Build and run a machine learning experiment with real-world datasets
  • Use classification machine learning algorithms
  • Use regression machine learning algorithms
  • Expose the Azure ML machine learning experiment as a web service or API
  • Integrate the Azure ML machine learning experiment API with a web application


 

Applied Machine Learning with BigQuery on Google Cloud

Course Duration - 2 hrs 28 min

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.

Course Objectives:
Course Objectives:
  • Define BigQuery specific to machine learning
  • Describe the basics of Google Cloud Platform, specific to BigQuery
  • Identify the basics of applied machine learning
  • Build machine learning models at scale using BigQuery
  • Define BigQuery ML
  • Identify the basics of applied machine learning
  • Describe the math behind SVM
  • Integrate with the Cassandra Java driver to write and run Cassandra from Java programs
  • Integrate Spark with Cassandra to perform analytics


 

Master ChatGPT and OpenAI APIs By Building AI Tools in Python

Course Duration - 11 hrs 11 min

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.

Course Objectives:
Course Objectives:
  • Navigate the foundational elements of ChatGPT and OpenAI APIs
  • Generate creative content and code with ChatGPT's language model
  • Design and implement AI applications with user-friendly interfaces
  • Master the art of prompt engineering for optimized AI interactions
  • Build AI-powered tools and images using OpenAI and DALL-E
  • Develop secure, intelligent applications with advanced Python technique


 

Machine Learning, Data Science and Generative AI with Python

Course Duration - 18 hrs 11 min

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.

Course Objectives:
Course Objectives:
  • Implement machine learning on a massive scale with Apache Spark's MLLib
  • Data visualization with Matplotlib and Seaborn
  • Understand reinforcement learning and how to build a Pac-Man bot
  • Use train/test and K-Fold cross-validation to choose and tune models
  • Build artificial neural networks with TensorFlow and Keras
  • Design and evaluate A/B tests using T-Tests and P-Values


 

Building Autonomous AI Agents with LangGraph

Course Duration - 3 hrs

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.

Course Objectives:
Course Objectives:
  • Develop AI agents using OpenAI API and LangGraph
  • Implement agent characteristics and use cases
  • Build interactive and memory-capable agents
  • Create a financial report writer agent as a capstone project
  • Optimize agent performance and add GUI elements
  • Gain practical experience with real-world applications


 

Azure Data and AI Architect Handbook

Course Duration - 4 hrs 44 min

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.

Course Objectives:
Course Objectives:
  • Design scalable and cost-effective cloud data platforms on Microsoft Azure
  • Explore architectural design patterns with various use cases
  • Determine the right data stores and data warehouse solutions
  • Discover best practices for data orchestration and transformation
  • Help end users to visualize data using interactive dashboarding
  • Leverage OpenAI and custom ML models for advanced analytics
  • Manage security, compliance, and governance for the data estate

 


 


Essential Career Skills Pack


Productivity and Time Management

Course Duration - 30 min

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.

Course Objectives:
Course Objectives:
  • Set your priorities to better manage your time
  • Improve your productivity by sharpening your focus and multitasking effectively
Detailed Course Outline:
Detailed Course Outline:
  • Productiity & Time Management
  • Prioritization
  • Getting Things Done
  • Procrastination
  • Multitasking & Focus
  • Summary


 

Basic Digital Skills

Course Duration - 13 min

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.

Course Objectives:
Course Objectives:
  • Recall the essential digital skills framework
  • Elaborate on the toolkit of essential digital skills
  • Identify how to develop or improve your digital skills
Detailed Course Outline:
Detailed Course Outline:
  • The Essential Digital Skills Framework
  • The Toolkit of Essential Digital Skills
  • Developing Digital Skills
  • Summary


 

4 Ways to Boost Creativity

Course Duration - 30 min

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.

Course Objectives:
Course Objectives:
  • Define creativity
  • Think outside the box
  • Develop the right mental attitude
  • Leverage the power of groups
  • Ensure managers make it happen
Detailed Course Outline:
Detailed Course Outline:
  • What is Creativity at Work?
  • Learn to Think Outside the box
  • Develop the Right Mental Capacity
  • Laverage the Power of Groups
  • Ensure Managers Make It Happen
  • Summary


 

The 11 Essential Career Soft Skills

Course Duration - 1 hr 10 min

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.

Course Objectives:
Course Objectives:
  • Understand how to be a great communicator
  • Become a stronger listene
  • Appear professional to co-workers and bosses of all ages
  • Avoid common career blunders that often end careers
  • Manage expectations for bosses and colleagues
  • Position yourself for promotions
  • Make technology your asset, even if you are afraid of technology
  • Avoid the Not My Job Syndrome
  • Develop EQ to Match Your IQ
  • Develop leadership qualities
Detailed Course Outline:
Detailed Course Outline:
  • Introduction
  • The Soft Tech Savvy Way to Always Be Essential
  • Not My Job, And I Am Happy to Do It
  • You Can Become a Master Communicator
  • Feedback Video for The 11 Essential Career Soft Skills
  • Become a Leader Without the Title or Formal Authority
  • Your EQ Will Beat a Higher IQ
  • Building Your Winning Team
  • Make Every One of Your Seconds Count
  • Unleash Your Inner Anthony Robbins
  • Avoid Being Uncool
  • Clothes Can Still Make or Break Your Career
  • Conclusion The 11 Essential Career Soft Skills
  • Extra: Developing Your Career Secret Sauce

 



 


Related Generative AI & ChatGPT Information:

How Much Do AI Training Courses Cost?

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.

What Generative AI Skills Should I Learn?

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.

Read Our Generative AI Skills and Learning Guide

How Can I Learn Generative AI?

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.

Is It Hard to Learn Generative AI?

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.

Does Generative AI Require Coding?

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.

Can Anybody Learn AI?

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.

Is it Worth Doing an AI Course?

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.

How Is AI Used in Excel?

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.

More Information on How Excel Integrates With AI

Where Can I Learn More About AI?

AI Blogs

AI Groups

AI Online Forums

Explore AI Classes Near Me:

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.







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