Upgrade your skill set and earn more

GenAI for Software Developers Course

Enroll by October 14 and get our $500 Early Bird Discount

With our brand new GenAI Course, we’ll help you expand your toolkit by adding techniques like advanced prompting, retrieval-augmented generation (RAG), and LLM fine-tuning, which will empower you to both use and build AI models across a variety of real-world scenarios. During the course, you’ll be able to lean on bi-weekly live group workshops, led by our GenAI expert, as well as a collaborative peer community for support.

Format: Online, on-demand, self paced

Time Commitment: 10 hours/week for 10 weeks

Enroll in the Course

Join the first GenAI course designed for software engineers by an educational leader

Since App Academy started in 2012, we've consistently been regarded as one of the best institutions in the world by students and employers. Over 5,000 students have graduated from our programs with the skills necessary to land a job in tech!

Career Karma Best Online Boocamp 2023 Award

A FEW OF THE TOP COMPANIES WHERE OUR GRADS WORK

The time to upskill with AI is now

In 2024, AI technologies are transforming software development, enabling smaller teams to deliver higher-quality software more efficiently. By 2025, the following sources predict:

A skillset in AI in the current market will increase your salary by as much as

40%

Source: University of Oxford

SWE leader roles will explicitly require oversight of AI in more than

50% of positions

Source: Gartner

Employers experiencing sourcing challenges for AI roles due to lack of talent

2 out of 3

Source: Analytics Insight

Why upskill in AI with App Academy’s course?

We carefully crafted this course, with the help of GenAI experts, to equip developers with the skills needed to thrive in today’s AI-driven tech landscape. We invest in your success by equipping you with:

Enroll today and gain access to all these great benefits and more

Expert Instruction and Mentorship

Attend bi-monthly group coaching sessions and workshops, as well as weekly office hours hosted by our GenAI expert and course instructor, Pace Ellsworth.

Collaborative Learning Experience

You’ll be added to a small study group with several other learners in the course, whom you can lean on for support, problem-solving, motivation and accountability.

Private Discord Community Access

Get ongoing support from a/A staff and peers with dedicated channels for curriculum topics. Connect with others, discuss AI trends, explore job opportunities, and build your network.

Industry-Relevant Curriculum

Designed in collaboration with AI experts to address immediate needs in your current role, helping you to quickly integrate AI tools and techniques into your daily workflows.

A Dual Focus Structure

Combines AI-powered software development and generative AI engineering, covering a wide range of AI use cases.

Real-World Application

Emphasizes hands-on learning with two capstone portfolio-ready projects and 10+ mini projects.

Cutting-Edge Tools and Technologies

Covers the latest AI tools, including LangChain, LLMOps, RAG workflows, and more.

Highly Flexible Schedule

Learn when you can, at your own pace.

You’re a match for this course if…

You are interested in integrating AI tools into your current workflows or building complex AI systems from the ground up.

We designed this course for:

Software Engineers and Developers looking to build complex LLM applications and accelerate their existing processes with AI.

Data Scientists and Machine Learning Engineers whose aim is to transition into a full-stack AI practitioner.

AI Enthusiasts and Aspiring AI Engineers wanting to start a career in AI or enhance their current skill set.

There are no formal prerequisites for this course, however we recommend you have:

Intermediate programming knowledge, including proficiency in Python

Cloud computing basics and an understanding of web development

Foundational software development knowledge

Basic understanding of AI and machine learning

Experience with data handling and analysis

Comfortability with problem-solving and logical thinking

GenAI curriculum that is easy to learn

Part 1: AI-Powered Software Development

Embark on a learning journey focused on transforming the entire software development lifecycle with AI tools. This part concludes with a capstone project where you'll apply these tools to develop a fully AI-powered software solution.

Part 2: Building Generative AI Applications

Dive deeper into the world of generative AI and LLMs. Progress through advanced modules on multi-agent systems, embedding fine-tuning, and LLM operations to master the deployment of sophisticated AI applications. This part culminates in a capstone project to design and present a comprehensive AI application.

Enrich your toolbox & your resume

This course will equip you with hands-on experience with a wide range of cutting-edge tools and technologies essential for AI-powered software development and generative AI engineering, including:

Lean on Expert Guidance and Coaching

Meet Pace Ellsworth, our GenAI expert and course instructor. Pace is a Cherokee Native tech program lead, and experienced full-stack developer, with a passion for automation and 15+ years in startups and enterprises like Logitech, Best Buy, and IMAX. He currently serves as CEO at his own AI startup PRE (Preserving Records Everywhere), where he is focused on preserving cultural heritage through developing a RAG-based social asset network to address the challenges of loneliness, AI bias, and the generation gap. He can’t wait to partner with you and help you master the tools needed to create exponential impacts in your role and bridge digital divides. As a learner in the course, you’ll be able to lean on Pace:
‍
• During Bi-Weekly Small Group Coaching Workshops
• In Weekly Q&A Sessions
• Anytime, 1:1 in our Private Discord Community

Join the course and start working with Pace today

Once your AI skill
transformation is complete

You'll be able to

Understand AI fundamentals and use generative AI tools like LLMs to enhance software development workflows

Implement AI-driven testing methods to increase coverage, efficiency, and reliability.

Build generative AI applications using LLMs, RAG systems, and multi-agent frameworks.

Optimize AI models and systems for performance, scalability, and continuous improvement.

Utilize AI tools for strategic decision-making, project planning, and architecture design.

Solve complex problems, drive innovation, and develop new AI-powered solutions.

You’ll be qualified to be a:

Principal Full-Stack Engineer

Average pay range
$200K - $311K/yr*

Lead Solutions
Engineer

Average pay range
$158K - $254K/yr*

Senior Web
Developer

Average pay range
$112K - $179K/yr*

*Source: Glassdoor salaries as of August 2024

Support like no other

Mastering new concepts can sometimes be challenging and we understand that collaboration is key. That’s why you’ll be able to utilize all the following as a learner:

Bi-Weekly Small Group Workshops

Join Pace Ellsworth (our GenAI expert and course instructor) and several of your peers, for coaching on topics like: building a code generation tool using generative AI, automating software deployment with AI-generated scripts and more.