Artificial Intelligence With Cloud Foundations

AI is transforming the way we live and work—and cloud computing is what makes it scalable. This bootcamp trains you for roles in AI engineering, machine learning, and cloud AI integration. You’ll learn to build and deploy intelligent systems using Python, NLP, generative AI, and cloud-based machine learning pipelines—all while preparing for top certifications in cloud and AI.

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 $8,500

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

40%Annual growth in AI and data science job openings\

Source: World Economic Forum

$136KMedian salary for AI/ML engineers in the U.S.

Source: U.S. Bureau of Labor Statistics

84%Of tech leaders say cloud fluency is essential to deploying AI at scale

Source: Deloitte

overview

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

  • Students must possess the curiosity and a determination to persist with demanding hands-on exercises and assignments.
  • In addition, students need to fulfill the below requirements:
    • 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

Delivery Guidelines

  • Courses are designed and delivered by our up-skilling partner StackRoute Learning, a top bootcamp provider and subsidiary of NIIT, one of the world's leading professional development organizations
  • Sessions will be conducted between 6:00PM – 10:00PM EST ON MONDAYS AND 6:00PM - 8:00PM EST ON THURSDAYS.
  • Live online lectures on context-setting and concept building concepts
  • 60% of the program is hands-on i.e. in each program, a student would spend over 60% of time on coding or hands-on activities

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

Exit Profile

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.

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