Artificial Intelligence: Powering the Next Generation of Cloud Innovation
Artificial Intelligence is driving transformation across every industry—from healthcare to finance to logistics—and the demand for professionals who can build and apply intelligent systems continues to grow. Today’s AI solutions don’t operate in a vacuum; they run on powerful, scalable cloud infrastructure. That’s why this bootcamp begins with cloud fundamentals and builds toward mastery of real-world AI tools and techniques.
In this program, you’ll gain the foundational skills to work with cloud platforms like AWS and Azure, while learning to design, train, and deploy AI models using Python, big data frameworks, and modern machine learning techniques. You’ll complete the program with real-world project experience and preparation for industry-recognized certifications.
The Artificial Intelligence with Cloud Fundamentals Bootcamp is ideal for learners looking to break into one of the fastest-growing fields in tech with a well-rounded understanding of cloud-native AI development.
Duration: 38 Weeks
Course Fee: As low as $7,500
Most learners qualify for discounts or scholarships. Ask about options available to you!
Market Trends
- AI Investment: Global AI investment is projected to reach $200B+ by 2025. (McKinsey)
- Cloud + AI Convergence: 90% of enterprise AI workloads run on cloud platforms. (Flexera)
- Talent Demand: Job listings requiring AI or ML skills have doubled in the last 5 years. (LinkedIn)
Job Demand
Source: World Economic Forum
Source: U.S. Bureau of Labor Statistics
Source: Deloitte

Program Structure and Outcomes
The Artificial Intelligence Bootcamp provides a structured, progressive learning journey—from foundational IT and cloud computing knowledge to advanced AI and machine learning applications. You’ll graduate prepared to contribute to data-driven teams, build intelligent models, and support scalable AI infrastructure.
Foundational Skills (Weeks 1–8) Begin with core computing, networking, and cloud platform literacy. Key areas include:
• Azure and AWS cloud services, service models, and deployment strategies
• Operating systems, Linux basics, and introductory Python programming
• APIs, automation, and identity management in secure cloud environments
• Preparation for Azure Cloud Fundamentals certification In the foundation courses, students will learn to understand cloud architectures and how to apply them to real-world scenarios; write and debug basic Python and JavaScript programs; and configure and manage cloud resources for storage and database solutions.
Intermediate Skills (Weeks 9–18)
Strengthen your Linux, scripting, and cloud system administration skills while exploring the tools that make cloud-based AI possible. Key topics include:
• Scripting and automation in Linux environments
• DevOps principles and monitoring in cloud platforms
• Virtualization, databases, and system scaling for data-rich applications
• Preparation for AWS cloud practitioner certification During these units, students will be introduced to the cloud management and data handling practices required for AI deployment.
Advanced Skills and Capstone Project (Weeks 19–37)
Apply your skills to real-world AI tools and models, including NLP, generative AI, and machine learning frameworks. Key areas include:
• AI model development using Python, scikit-learn, and TensorFlow
• Natural language processing (NLP), sequence models, and prompt engineering
• Big data technologies and data engineering for AI pipelines
• Preparation for AWS AI Practitioner certification As the bootcamp concludes, students will learn to develop and deploy secure, scalable AI systems and a capstone project that showcases your ability to design and deliver an AI-powered solution in a cloud-based environment.Student Guidelines
Delivery Guidelines

Who Should Attend?
This bootcamp is ideal for aspiring AI professionals, analysts, engineers, or tech-curious career switchers who want to gain practical, hands-on experience with cloud infrastructure and artificial intelligence. No prior experience is required.
- High School Diploma from an accredited institution
- Spoken and written English skills
- Appropriately configured PC with webcam and headset
- Uninterrupted internet connection
- Uninterrupted time to complete the learning activities on schedule

Your Program Outcomes
Graduates of the AI with Cloud Fundamentals Bootcamp will be prepared for roles such as Machine Learning Engineer, AI Developer, Data Analyst, or Cloud AI Specialist. You will be able to:
- Understand and apply core AI and ML algorithms
- Train and evaluate models using real-world datasets
- Build and deploy models on cloud platforms like AWS and Azure
- Use Python for statistical analysis, model training, and AI automation
- Work with NLP tools and techniques, including transformers and prompt engineering
- Complete a capstone project that demonstrates cloud-native AI proficiency

Program Coverage – Competencies - Knowledge and Skills
This program builds technical depth in both AI and cloud computing. Students learn to think algorithmically, understand cloud ecosystems, and manage large-scale data workflows to support intelligent systems.
Key competencies include:
• AI and machine learning principles and workflows
• Python development for AI modeling and analytics
• Big data tools like Hadoop, Spark, and NoSQL databases
• NLP, generative AI, and prompt engineering
• Cloud infrastructure (AWS, Azure) for AI deployment
• Secure data handling, automation, and system monitoring
With instructor-led sessions, hands-on projects, and expert mentorship, you’ll develop the skills and confidence to pursue a fast-moving, high-impact career in artificial intelligence.
Programs FAQs
Question 1:How is my academic progress measured and monitored?
Your academic progress is governed by the provisions contained in the Student academic progress policy (SAP) in vogue at the time of enrollment detailed in the latest student manual available here Student Manual. The SAP policy details the academic commitment expected of a you on a weekly basis in terms of assignments to be submitted for review and feedback
Question 2:What is the tuition or cost for the program?
Question 3:Are there any scholarships available?
Yes! Our scholarship application requires only a few simple steps and may qualify you for a tuition reduction of up to 35% off standard pricing. Your program consultant can assist you throughout the application process and scholarship decisions are typically awarded within 2-3 business days.
Students who opt to forego scholarships can still receive a $1000 tuition discount if they elect to pay their tuition in advance of starting the program rather than financing their bootcamp. are eligible to receive a discount on the published tuition.
Question 4:What do I get at the completion of the program
Question 5:When are the bootcamps currently scheduled to start?
Question 6:Can I keep working while studying in the program?
Question 7:How long does the program take to complete?
Question 8:Do you provide career planning support?
Question 9:How are you different from other programs I can join or other locations?
Question 10:What criteria do you look for in potential students applying to the program?
Question 11:Do I need to possess an undergraduate degree to be eligible for the program?
Question 12:How much time should I expect to dedicate to this program?
Our program requires you to participate in
- Six (6) hours of scheduled/live in-class lecture and guided lab sessions per week.
- Three (3) hours optional scheduled/live office hours for individual support.
- Additionally, three (3) to five (5) hours of time out of class is expected to be necessary to complete assignments and prepare for course assessments.
For a total expected time commitment of 12-15 hours per week.
Question 13:Do I need to have previous experience in information technology before enrolling in one of the virtual programs?
Question 14:Will I need to purchase books?
Question 15:Who are the faculty for the programs?
Question 16:Are the courses available online or in person?
Question 17:I’m an employer. How can I hire one of your students or become a hiring partner?
You can contact one of our Career Services professionals at studentsupport@stackroute.com
Question 18:Do I need my own computer?
You will need an appropriately configured PC with webcam, headset, and uninterrupted internet connection. Required specifications for your PC are as follows:
- To attend the program, students are expected to use their own computer and have an uninterrupted broadband internet connection.
- Hardware Requirements:
- Laptop/Desktop with Intel i5 (or later) with minimum 8 GB RAM (recommend 16 GB RAM).
- Minimum of 50+ GB Free HDD Space.
- Windows 10 (Patched with Latest Security Updates)
- HD Webcam.
- Audio enabled preferably with headset.
- Software Requirements:
- Google Chrome Browser.
- To join the virtual live sessions, students will need to download, and setup zoom client on their computer (one time setup) as required.
- For offline work, students will need to install zoom and join zoom channel with their registered email.
- From time to time, students may be required to install a few software updates during different parts of the program. Faculty will share the details during the respective stages of the program. The software needs may vary from program to program. These are mostly either open sources or evaluation version.
- For some of the programs, MS Office tools would be required. For example, Data Analytics program will require students to have MS Excel.
Question 19:Can I use Mac Book for the program?
Question 20:Can I use a Chrome Book or Tablet for my bootcamp?
Question 21:Do I need to purchase any application / software before starting the program?
Question 22:Can I use the free Excel version from Office 365?