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No Prior Experience Required

Launch Your Career as a Certified Generative AI Data Analyst

Kickstart your journey into the world of AI and data analytics with our 14-week immersive bootcamp, designed specifically for beginners. This entry-level program requires no prior experience, making it the perfect starting point whether you’re exploring your first career or transitioning into a new one.

14 Weeks Duration
Running Every Month Part-Time Cohort
$6,000 Price

As the AI and Data Analytics industry surges, now is the time to prepare for high-demand roles. The global AI SaaS market is projected to reach $1.5 trillion by 2030, growing at a CAGR of 37.66% (Fortune Business Insights, 2023). Step confidently into the future of work — no prior experience required

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At a Glance: Generative AI Data Analyst Training

Basic Python Knowledge Required

Learners should have a basic understanding of Python programming before starting the course.

Job Preparation

Learn critical skills for real-world data analyst roles.

Always Affordable

Explore budget-friendly tuition options.

Affordable Tuition

Flexible payment plans available.

100% Online

Learn from anywhere.

Hands-On Learning

Work on Generative AI projects.

Program Overview

A Generative AI Data Analyst Bootcamp teaches you how to use AI tools that analyze data, highlight insights, and improve data visualization end results. The program helps you prepare for AI-focused jobs and keeps your skills up to date as your industry changes.

  • Virtual, Hands-On Assignments
  • Comprehensive Student Support
  • Dedicated Data Analyst Certification Preparation
  • Capstone Project

By the end of the program, you'll be confident in your ability to deliver human-centered designs using both traditional methods and AI-powered enhancements.

Learning Experience

A Learning Experience Built for the Real World

As an AI Data Analyst, you’ll turn raw data into useful insights that your employer can use to improve sales, productivity, and operations. The data you uncover will help guide business decisions. Beyond the roles listed above, many career options focus on analyzing data, improving machine learning algorithms, and solving problems with AI technology.

AI Application Challenge

Build practical Generative AI solutions using LLMs, prompt engineering, RAG, and AI automation to solve real-world business problems.

Hands-on AI Projects

Complete two capstone projects mirroring actual workplace assignments.

Portfolio Development

Create a professional portfolio showcasing AI applications, intelligent workflows, chatbots, and automation projects to impress employers.

What You'll Learn

Master the skills top employers are looking for

Gain practical expertise in Generative AI, prompt engineering, LLMs, automation, and AI application development through hands-on, industry-focused learning.

Prompt Engineering

Learn to craft effective prompts that maximize the capabilities of Large Language Models (LLMs) for real-world applications.

Large Language Models (LLMs)

Understand how modern AI models work and apply them to content generation, problem-solving, and business workflows.

AI Tools & Frameworks

Master leading AI platforms and frameworks, including ChatGPT, Claude, Gemini, LangChain, and vector databases.

RAG & AI Automation

Build Retrieval-Augmented Generation (RAG) systems and automate workflows using AI agents and no-code/low-code tools.

AI Application Development

Develop intelligent chatbots, AI assistants, and custom GenAI applications using industry best practices.

Career Ready

Graduate with a portfolio of real-world AI projects, practical experience, and the confidence to succeed in AI-focused roles.

Learning Experience

Explore Our Generative AI Bootcamp Learning Experience

Our program is built around applied, real-world practice, so you graduate with genuine experience — not just theory.

Gain hands-on experience building AI-powered applications using industry-leading tools, real datasets, and guided labs that prepare you for workplace challenges.
Work on real-world GenAI projects, including AI chatbots, prompt engineering, Retrieval-Augmented Generation (RAG), and workflow automation that mirror professional use cases.
Create a job-ready portfolio featuring AI applications, intelligent assistants, automation workflows, and capstone projects to showcase your skills to employers.
Receive personalized guidance from industry experts through live sessions, code reviews, interview preparation, resume optimization, and career coaching.
Learn to design and deploy Generative AI solutions that improve business productivity, automate workflows, enhance customer experiences, and solve real organizational challenges.

Career Outlook

Career Opportunities and Average Salaries

Generative AI is one of the fastest-growing, best-paid fields in tech. Here's what you can expect as you grow your career.

Role Entry-Level Average Senior-Level
AI Researcher$70,000$95,000$130,000+
AI Engineer$80,000$110,000$150,000+
Machine Learning Engineer$75,000$100,000$135,000+
Robotics Engineer$78,000$105,000$140,000+
Data Scientist$65,000$90,000$120,000+

Salary ranges are indicative U.S. averages and vary by location, experience, and company.

Why Choose Us

Why This Course

A practical, AI-forward program designed with one goal in mind: getting you hired.

Expert-Led Training

Learn from working design professionals who mentor you through every project.

Hands-On Projects

Build real deliverables and capstones that mirror actual workplace assignments.

Career Support

Get portfolio reviews, interview prep, and a guaranteed paid internship.

Generative AI Bootcamp Learning Outcomes

By the end of the program, you will be able to:

Master Prompt Engineering

Write effective prompts that maximize AI performance for content creation, automation, research, and business applications.

Build AI Applications

Develop AI-powered chatbots, assistants, and business solutions using modern LLMs and Generative AI frameworks.

Leverage AI Tools

Work with industry-leading platforms such as ChatGPT, Claude, Gemini, LangChain, and vector databases to solve real-world problems.

Create RAG & AI Workflows

Design Retrieval-Augmented Generation (RAG) systems and automate workflows with AI agents and no-code/low-code tools.

Deploy AI Solutions

Test, refine, and deploy production-ready AI applications using best practices for performance, security, and scalability.

Launch an AI Portfolio

Graduate with a professional portfolio of real-world AI projects, capstone work, and practical experience that demonstrates job-ready skills.

Curriculum

Curriculum Overview

14 focused modules covering the full GEN AI Bootcamp, enhanced with AI at every step.

What's included

  • 14 self-paced modules
  • Hands-on projects
  • AI tool integrations
  • Two capstone projects
  • Guaranteed paid internship
  • Job-ready portfolio
  • Industry-recognized certificate
  • Ongoing mentor support
This Module provides a foundational understanding of artificial intelligence, its types, and how deep learning drives advanced AI technologies.
This Module introduces core statistical concepts and techniques essential for analyzing and interpreting data effectively.
Module provides an overview of key machine learning concepts, techniques, and algorithms used to create predictive models.
Module focuses on gathering, organizing, and refining data to ensure it’s ready for analysis and machine learning models.
Module offers an introduction to the principles, types, and real-world applications of generative AI technologies.
Module teaches techniques to explore, analyze, and present data in a clear and impactful way.
Module covers the key steps and techniques for building, training, and assessing the performance of AI models.
Module focuses on refining AI models to enhance their accuracy and performance.
Learners will focus on training machine learning models and evaluating their performance using metrics like accuracy, precision, and recall. This module emphasizes model testing and avoiding overfitting.
This module covers the deployment of AI models into production, teaching learners about tools like TensorFlow Serving and Docker, as well as monitoring and maintaining deployed models.
Learners will focus on effectively communicating AI results, creating clear reports, and documenting code to ensure both technical and non-technical stakeholders can understand the findings.
This module introduces the core concepts of Power BI, including data loading, transformation using Power Query, and building foundational data models. Learners will gain hands-on experience in preparing and cleaning data for analysis.
This module focuses on advanced data modeling, DAX calculations, and creating interactive dashboards and reports. It also covers data visualization best practices and sharing insights using Power BI Services.
In the capstone project, learners will apply everything they've learned to build, train, and deploy an AI model, culminating in a final report that demonstrates their ability to work through the entire AI pipeline.
Download Full Curriculum

Meet Your Instructors

Learn from Industry Experts

Our instructors are seasoned experts in Generative AI, equipped with years of experience in developing AI-powered solutions and innovative applications. With their guidance, you'll gain the knowledge and hands-on skills needed to create, optimize, and implement AI-driven content, automation, and decision-making systems that align with industry trends and best practices.

Lead AI Mentor

GENERATIVE AI & LLM EXPERT

Guides you through prompt engineering, Large Language Models (LLMs), and real-world AI applications while helping you build practical, job-ready skills.

AI Engineering Coach

AI AUTOMATION & APPLICATION DEVELOPMENT

Mentors you in building AI-powered chatbots, intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and workflow automation solutions.

AI Solutions Specialist

DEPLOYMENT & INDUSTRY APPLICATIONS

Shows you how to deploy, optimize, and scale Generative AI solutions using leading AI platforms, APIs, and best practices for business use cases.

Tuition & Financing

Prices and Payment Options

Immersive Program Features

  • 14 Weeks Program
  • 1:1 Career Sessions
  • Professional Portfolio
  • Paid Internship Guarantee
  • Instructor-led Sessions
  • Annual Course Access
  • Tuition Guarantee
  • Certificate of Completion

Tuition Guarantee

We are confident our course will meet & exceed your expectations. However, if for any reason you are not satisfied within the first 15 days of your program, we will refund your tuition.

Choose Your Payment Path

Best Value

Upfront Payment

Get an additional discount off your tuition when you make a one-time, upfront payment.

Tuition from

$6,000 $5,750

Save $250

Financing Options

In-House Payment Plan

Explore our interest-free in-house payment plan.

OR

Sallie Mae

FAQs

Generative AI Bootcamp FAQs

We offer bootcamps for AI-Enhanced UI/UX Design, Generative AI Data Analyst, Digital Marketing, and more.
The program runs for 14 weeks as a part-time, 100% online immersive program, with new cohorts starting every month.
No prior experience is required. The program starts with the fundamentals and builds up to job-ready skills.
Yes. We offer an interest-free in-house payment plan and Klarna, plus an additional discount for upfront payment.
Yes. You'll get 1:1 career sessions, dedicated portfolio development, and a guaranteed paid internship experience.
If you are not satisfied within the first 15 days of your program, we will refund your tuition.
You'll master modern, AI-enhanced design workflows through hands-on projects, expert mentorship, and real work experience that make you job-ready.
Yes! Upon passing this course, you will receive a signed certificate of completion. This will make it easy for you to share your new qualification on LinkedIn and with potential employers or clients.
New cohorts start every month. Request info above for the next available start date.
No. The program is part-time and 100% online, so you can continue working while you study.
Yes. The program is aligned with the Microsoft Power BI Data Analyst (PL-300) certification and helps prepare learners with the knowledge and skills needed to take the exam.
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