AI for Software Engineers Bootcamp

Become a Certified AI Strategy Leader in Software Development

The demand for AI-powered software solutions is growing rapidly, transforming how teams design, develop, test, and deploy applications. AI for Software Engineers Bootcamp is a 14-week, instructor-led program designed to equip you with the skills, frameworks, and hands-on experience to harness artificial intelligence across the entire software lifecycle. From accelerating development and enhancing testing to deploying ethical AI solutions on leading cloud platforms, this program ensures you graduate ready to drive AI adoption in your organization.

Workforce Institute’s 100% online AI for Software Engineers Bootcamp is designed to equip to deliver smarter, faster, and more ethical software solutions in just 14 weeks.

  • Duration 14 Weeks
  • Upcoming Part-Time Cohort September 25th, 2025
  • Price $7,000 (Prepay discount available)

15-Day Tuition Back Guarantee: If you're not completely satisfied with the program within the first 15 days, we'll refund your full tuition no questions asked. Your satisfaction is our priority.

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At a Glance: AI for Software Engineers Training

  • Learn tools and techniques to apply AI from design to deployment.
  • Practice on Azure and Google Cloud AI platforms.
  • Solve real-world challenges and present your solutions.
  • Flexible and interactive virtual learning environment.
  • Lead AI-powered transformations in software teams.

Instructor-Led Lectures

Learn from seasoned professionals at the WorkForce Institute through engaging, interactive sessions in a vibrant virtual classroom.

Live, Project-Based Learning

Join small group sessions in WorkForce Institute's hands-on courses to work together and learn as a team

Your Learning Pathway

Master AI-powered software development through a dynamic blend of self-paced video lessons, real-world assignments, capstone projects, and a final exam. This hybrid learning journey is designed to help you internalize advanced AI skills while applying them directly across the software development lifecycle.

Your Career Ahead

Begin a rewarding career as a Digital Marketing Specialist with practical training, plus comprehensive career support throughout the bootcamp.

Explore Our AI for Software Engineers Experience

Best Cloud Certification Capstone Project

Real-World Projects and Assignments

Throughout the bootcamp, you’ll work on hands-on projects that showcase your ability to apply AI techniques across the software development lifecycle. These projects are modeled after real-world engineering challenges and will involve using industry-standard tools and AI platforms such as GitHub Copilot, ChatGPT, Azure AI, Google Cloud AI, and testing automation frameworks. The program includes problem-based challenges where you’ll design AI-assisted solutions for coding, testing, deployment, and optimization, while collaborating in peer reviews and integrating professional feedback. By the end of the bootcamp, you will have completed two capstone projects that mirror actual workplace scenarios—demonstrating your technical proficiency, problem-solving capabilities, and readiness to excel as an AI-powered software engineer.

Best Cloud Certification Mentoring

Virtual Hands-On Experiences

Your courses will feature interactive, project-based assignments, giving you the opportunity to apply your learning in a simulated software development environment. You will get hands-on practice with AI-powered coding tools, automated testing frameworks, deployment pipelines, and cloud-based AI platforms without the risk of working on live production systems. These labs are designed to mirror real-world engineering workflows, enabling you to confidently apply AI solutions in software projects.

Best Cloud Certification Capstone Project

Capstone Projects Preparation

You will complete two Capstone Projects during the program one at the midpoint and another near the end each designed to simulate complex, real-world software engineering challenges. Before each project, you’ll receive targeted preparation through review sessions, coding challenges, architecture planning exercises, and guided practice with AI-powered development tools. These projects will test your ability to apply AI across the software lifecycle, from planning and coding to testing and deployment, ensuring you graduate with portfolio-ready work that reflects industry expectations.

Best Cloud Certification Comprehensive Student Support Services

Comprehensive Student Support

We offer a robust support system to ensure you master the technical and strategic skills required for AI in software engineering. You will have access to weekly virtual office hours, personalized 1:1 mentoring from experienced software engineers, and a 24/7 tutor to assist you with coding, troubleshooting, and applying AI tools effectively throughout your learning journey.

Best Cloud Certification Extensive Career Services

Extensive Career Support

This AI for Software Engineers online bootcamp equips you with the tools to secure roles in AI-powered software development, DevOps, cloud-based AI engineering, and technical leadership. You will have access to a suite of resources, including a career services platform featuring job opportunities and a talent portal where hiring organizations can contact you. The program also offers guidance on how best to market your new AI software engineering skills to employers.

  • Career Coaching

    Achieve your career goals with personalized 30-minute coaching sessions focused on career strategies, growth, and building a compelling AI engineering portfolio. Our coaches will help you stand out by highlighting your technical expertise, AI tool proficiency, and problem-solving achievements.

  • Interview Preparation

    Prepare for interviews with mock technical and behavioral interview sessions tailored specifically for AI software engineering roles. You’ll learn how to discuss AI-driven solutions, walk through your code and architecture choices, and present your capstone projects with confidence.

  • Resume Building

    Craft a standout software engineering resume and portfolio with expert guidance from Workforce Institute’s career coaches. You’ll learn how to effectively showcase your AI development skills, cloud platform experience, and real-world project work to attract the attention of top employers.

High Growth, High Potential AI Engineering Careers

Our program prepares you to thrive in the fast-evolving world of AI-powered software development. While specific roles and salaries may vary by industry and region, here are career opportunities commonly pursued by our graduates.

Role Average Salary
AI Product Manager
  • Define product strategy and leverage AI to enhance user experiences and features.
 $115,000 – $130,000
AI Strategy Consultant
  • Help organizations identify and implement high-value AI opportunities
 $105,000 – $120,000
Digital Transformation Manager
  • Lead change initiatives that embed AI into core business functions.
 $120,000 – $140,000
Technology Innovation Lead
  • Drive R&D and explore emerging technologies to gain a competitive edge.
 $130,000 – $145,000
AI Program Director
  • Oversee multi-disciplinary teams and long-term AI implementation roadmaps.
 $145,000 – $160,000

Source: Glassdoor.com, 2025

Imagine Your Career in AI-Enhanced Software Engineering

AI for Software Engineers: Drive Innovation. Build the Future.

Step into the forefront of software innovation by combining your engineering expertise with applied artificial intelligence. This program prepares you to lead and implement AI strategies within development teams and across enterprise systems.

With hands-on capstone projects, ethical and technical AI training. you'll graduate with both the confidence and competence to deliver AI-enabled solutions that drive measurable outcomes.

New!

Program Details

  • Instructor-led Sessions: Once a week
  • Hands-on Assignments: Tackle real-world AI coding.
  • Build your portfolio with real-world AI development challenges.
  • Peer Collaboration: Work with fellow learners to solve real AI engineering challenges together.
  • Weekly Commitment: 10-15 hours per week
New!

14 Weeks
AI for Software Engineers Bootcamp

$7,000 (Prepay discount available)

Developed in collaboration with industry experts, this intensive bootcamp equips you with the most in-demand AI and software development skills. You’ll gain hands-on experience through real-world projects, capstones, and assignments that prepare you to lead AI-driven initiatives across tech teams. Graduate with a job-ready portfolio and the confidence to build AI-powered solutions in production environments.

AI for Software Engineers Bootcamp

This bootcamp is designed to equip software professionals with applied AI skills across the entire development lifecycle. Through hands-on learning and real-world scenarios, you'll explore how to integrate AI tools for faster ideation, smarter testing, and more efficient deployment. The curriculum also covers ethical and operational considerations of AI in production environments and builds your ability to contribute to technical strategy through a deep understanding of LLMs, multi-agent systems, and modern AI frameworks.

Curriculum
  • Best Cloud Certification Introduction to IT Fundamentals

    Module 1: AI Foundations in Software Development

    Includes:

      Learn how AI is reshaping modern development workflows. Compare traditional vs. AI-assisted coding and explore tools like Codeium and Bito.

    • The AI software tool landscape
    • Advanced Digital Marketing Concepts
    • Speed vs. quality in AI coding
    • Intro to debugging and ethical AI use
  • Best Cloud Certification Networking Foundations

    Module 2: AI-Powered Code Writing & Refactoring

    Includes

    Understand how to work side-by-side with AI in daily coding tasks. Learn to refactor, optimize, and improve code quality using AI tools.

    • Writing and explaining code with LLMs
    • Refactoring for readability, performance, and maintainability
    • Generating tests alongside code
  • Best Cloud Certification Cloud Essentials

    Module 3: Debugging, Testing, and Quality Assurance with AI

    Includes

    Explore how AI enhances bug detection, test case generation, and intelligent code reviews.

    • Auto-generating unit/integration tests
    • Smart debugging agents and error tracing
    • AI-powered QA workflows
  • Best Cloud Certification Career Simulation 1

    Module 4: DevOps & Automation with AI Tools

    Includes

    Automate DevOps workflows using AI-driven platforms. Use assistants to manage CI/CD, test gates, and rollout strategies.

    • GitHub Actions AI plugins
    • Continuous testing and deployment
    • Release monitoring and rollback triggers
  • Best Cloud Certification Linux Essentials

    Module 5: Capstone Project 1: Build an AI-Assisted CLI Tool

    Includes

    Apply your skills by building a working command-line interface (CLI) tool powered by AI.

    • Project scoping
    • AI-assisted code generation and debugging
    • Demo presentation and submission
  • Best Cloud Certification Career Simulation 2

    Module 6: Introduction to Generative AI and LLMs

    Includes

    Develop foundational knowledge of generative models and prompting techniques.

    • How LLMs work
    • Zero-shot, few-shot, and system prompts
    • Using GPT-based tools effectively
  • Best Cloud Certification AWS Certified Cloud Practitioner

    Module 7: Prompt Engineering for Software Engineers

    Includes

    Go deeper into crafting effective prompts for code generation, task automation

    • Prompt patterns for technical teams
    • Prompt tuning and chaining
    • Evaluating LLM responses for accuracy
  • Best Cloud Certification Career Simulation 3

    Module 8: Retrieval-Augmented Generation (RAG) for Engineers

    Includes

    Learn how to integrate external knowledge with AI models for contextual and reliable outputs.

    • Embeddings and vector databases
    • Chunking and indexing docs
    • Designing a basic RAG system
  • Best Cloud Certification Career Simulation 3

    Module 9: Multi-Agent AI Systems for Engineering Workflows

    Includes

    Use AI agents to simulate team-like coordination across engineering tasks.

    • Multi-agent orchestration basics
    • Designing developer assistants
    • Common failure modes and guardrails
  • Best Cloud Certification Career Simulation 3

    Module 10: Scaling and Optimizing LLMs for Engineering Tasks

    Includes

    Understand the performance and cost dynamics of running LLMs at scale.

    • Multi-agent orchestration basics
    • Designing developer assistants
    • Common failure modes and guardrails
  • Best Cloud Certification Career Simulation 3

    Module 11: Cloud AI Tools: Azure and Google Cloud

    Includes

    Get hands-on with Microsoft and Google’s AI tools for developers.

    • Azure AI Studio and OpenAI integration
    • Google Vertex AI and BigQuery ML
    • Deploying no-code/low-code AI services
  • Best Cloud Certification Career Simulation 3

    Module 12: Ethics, Bias, and Governance in AI Development

    Includes

    Tackle the responsible use of AI in software engineering, from hallucinations to compliance.

    • Fairness, accountability, transparency
    • Red-teaming and model cards
    • GDPR and AI-specific regulations
  • Best Cloud Certification Career Simulation 3

    Module 13: Capstone Project 2

    Includes

    Design and present a full-stack, AI-augmented engineering solution aligned with real-world constraints.

    • End-to-end AI workflows
    • Cloud deployment and testing
    • Ethical and performance evaluation
  • Best Cloud Certification Career Simulation 3

    Module 14: Final Exam and Wrap-Up

    Includes

    Conclude the program with a final exam assessing your understanding of AI tools, systems, and best practices. This module also includes project review, reflection, and guidance on transitioning into AI-driven software roles.

    • Reviewing Project 2
    • Capstone project choices and Q&A
    • End-to-end AI workflows
    • Cloud deployment and testing
    • Ethical and performance evaluation
    • Final Exam
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Prices and Payment options

Immersive Program Features

14 Weeks Program

Instructor-led Sessions

1:1 Career Sessions

Annual Course Access

Professional Portfolio

Tuition Guarantee

Paid Internship Guarantee

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.

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AI for Software Engineers FAQs

What kind of bootcamps do you offer?

We offer bootcamps for AI Software Engineers, UI/UX Design, Generative AI Data Analyst, Digital Marketing, and more. 

The bootcamp takes 14 weeks to complete. 

You don’t need prior AI knowledge, but this program is designed for learners with a foundation in software engineering. If you’re comfortable with coding and development basics, you’ll be ready to build AI-powered solutions.   

Yes, the program is entirely asynchronous and online so you can study when and wherever you’d like so long as you can get online and stay on track for graduation.   

We offer different financing options, including installment plans and up-front payment, so you can focus on what counts, your education. Speak with our Admissions team to learn more and find the best fit for you and your finances. 

Yes! With our job placement services, you can get help with resume building, mock interviews, internships, job opportunities, and more! Contact our advisors today for more info!   

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. 

This 14-week bootcamp combines hands-on projects, capstone challenges, and career support to help you master AI tools like LLMs, RAG, and cloud platforms. You’ll graduate with a portfolio and the skills to lead AI-driven initiatives. 

Self-paced immersive programs allow students to complete the program according to their own pace and schedule. The duration of the 14-week program between 3-4 months.   

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. 

To know the starting dates, please contact our admissions advisors and they will update you.   

No. Our flexible training hours allow you to easily balance academic and professional priorities with our immersive program.