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    Become a Full Stack AI Engineer with GenAI & Agentic AI

    longbeginerIntermediate 24 Weaks

    Become a Full Stack AI Engineer with GenAI & Agentic AI

    Instructor: Rana M. Ajmal
    generative-ai

    What You'll Learn

    • Write efficient Python code and apply core programming concepts for AI applications
    • Work with data structures, APIs, and libraries like NumPy, Pandas, and Matplotlib
    • Build and fine-tune Generative AI solutions using LLMs, embeddings, and vector databases
    • Design AI agents capable of autonomous reasoning, tool usage, and multi-agent collaboration
    • Develop and integrate FastAPI backends, SQLAlchemy databases, and Streamlit dashboards
    • Containerize and deploy AI-powered applications on AWS and GCP using Docker & CI/CD pipelines
    • Translate AI concepts into real-world projects that can serve as a professional portfolio
    • Gain the skills to step into roles like AI Engineer, Full Stack AI Developer, or Applied AI Specialist

    Course Description

    🚀 Become a Full Stack AI Engineer in 6 Months and gain the skills to design, build, and deploy cutting-edge AI solutions. This live, instructor-led training is designed for students, graduates, and professionals who want to break into the fast-growing world of Artificial Intelligence, Generative AI, and Agentic AI — even if you’re starting from a non-technical background.

    Over 6 months, with 3 live classes per week (108+ hours of training), you’ll master everything from Python programming to building AI agents and Generative AI apps, and finally learn how to deploy your AI projects on the cloud (AWS & GCP). Each module includes hands-on projects so you can graduate with a strong portfolio to showcase to employers or clients.

    By the end of this program, you’ll have the confidence and expertise to work as a Full Stack AI Engineer, Applied AI Specialist, or AI Solutions Developer.


    🔑 Why Choose This Course?

    • Beginner-friendly: No prior AI experience required — we start with Python basics
    • Project-oriented: Build real AI applications throughout the course
    • End-to-end coverage: From LLMs & GenAIAgentic AIBackend APIsCloud Deployment
    • Career-focused: Learn the most in-demand tools and frameworks used by top AI engineers

    🌍 Who Is This Course For?

    • Students and fresh graduates aiming for a career in AI engineering
    • Professionals from non-tech backgrounds who want to transition into AI
    • Developers who want to upgrade their skills with GenAI & Agentic AI
    • Entrepreneurs and freelancers looking to build AI-powered products

    📈 Career Outcomes

    After completing this course, you’ll be ready for roles such as:

    • Full Stack AI Engineer
    • Applied AI / Generative AI Specialist
    • AI Solutions Developer
    • AI Product Engineer
    • Freelance AI Consultant

    Start your journey to become a job-ready Full Stack AI Engineer — from coding in Python to deploying AI apps on the cloud.


    Course Outline

    Instructor

    Instructor Picture

    NexusBerry

    Instructor

    Become a Full Stack AI Engineer with GenAI & Agentic AI with NexusBerry

    • beginerlong
    • 24 Weeks
    • 72 Lessons
    • Projects
    • Instructor: Rana M. Ajmal
    • logo

    Get in touch with the NexusBerry team to schedule your Free Demo Session or learn more about our upcoming training batches

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    Engage in an informative demo session for our training course, providing you with a glimpse into NexusBerry's offerings. Get answers to your questions and make an informed decision.