Welcome to 'From Coder to AI Driven Software Engineer', where your coding expertise meets the cutting edge of AI technology. This course is crafted to supercharge your programming prowess with AI capabilities, diving deep into Machine Learning Models, with a special focus on Large Language Models (LLMs). Designed for programmers who live by the credo 'AI will not replace programmers; programmers who use AI will replace those who don't,' this course is your gateway to mastering Machine Learning. Starting with AI Software Tools on Monday, we rapidly progress to fine-tuning your own pair-programming LLM by Friday. Plus, experience the fusion of technology and the natural world as we teach a computer to interpret the underwater realm through state-of-the-art Computer Vision technologies with our own collected and labeled data with diving or whale watching.

In an ever-evolving tech landscape, staying ahead means not just keeping pace but setting the pace. "From Coder to AI Driven Software Engineer" is more than a course; it's a decisive step into the future of software engineering.

Bridge the Gap: Transition from traditional software development to AI-driven engineering, a skill set that's increasingly in demand. In this course, you'll bridge the gap with hands-on experience in AI.
Empower with AI: Harness the transformative power of AI tools and technologies. You’ll gain practical skills that enable you to implement AI solutions, from natural language processing to predictive analytics.
Customized Learning: Fine-tune your own LLM for pair-programming, a pioneering approach that ensures you not only understand AI concepts but also apply them in a way that's tailored to your coding style.
Real-World Application: Dive into the exciting realm of Computer Vision, teaching computers to interpret and understand the visual world, a skill that’s becoming indispensable in many industries.
Stay Relevant: Embrace the mantra that defines this course: "AI will not replace programmers; programmers who use AI will replace those who don't." Secure your place in the future of software development.
Innovate and Lead: Equip yourself to not just participate in the AI revolution but to lead it. By the end of the week, you’ll be at the forefront, ready to innovate and drive AI-centric solutions.

In short, if you're seeking to make an impactful leap in your career, forge a path that sets you apart, and become a forerunner in the integration of AI into software engineering, there’s no question — this is the course for you.

Advanced Technical Proficiency: Elevate your coding skills with advanced AI techniques. Understand and apply complex AI algorithms that can significantly enhance the capabilities of your software projects.

AI Integration Skills: Learn to seamlessly integrate AI into your existing development projects, bringing new levels of efficiency and innovation to your work.
Custom AI Solutions: Master the craft of tailoring AI tools to your needs, including fine-tuning LLMs to understand and anticipate your coding patterns for more effective pair programming.
Problem-Solving Prowess: Grow your ability to solve real-world problems with AI, using algorithms that can learn and adapt. Tackle challenges with machine learning models designed to provide actionable insights.
Cutting-Edge Knowledge: Stay current with the latest advancements in AI, including the principles of machine learning, natural language processing, and computer vision.
Competitive Edge: Differentiate yourself in the job market with a rare and sought-after skill set. The knowledge gained here positions you to take on higher-level roles and projects.
Project Portfolio: Build a portfolio of AI projects that demonstrate your skills and creativity, showcasing your ability to potential employers or collaborators.
Confidence with AI Ethics: Gain an understanding of the ethical considerations in AI, ensuring that your AI implementations are responsible and aligned with best practices.

By the end of this course, you will have a robust set of skills that blend software engineering with AI, positioning you to be a professional in creating software solutions that are as intelligent as they are impactful eventually transforming you to become a 10x Engineer ... while having fun.

1. Introduction to the AI Tools: Discover transformative AI tools that redefine software development, enhancing efficiency and innovation.
2. Humans vs LLMs: Delve into the dynamic synergy between human creativity and LLM efficiency, unlocking new potentials in programming.
3. spinach.io: Meet 'spinach.io', an AI-driven Scrum Master, revolutionizing project management with smart, automated insights.
4. LLM Pair-Programming: Experience the future of coding with LLM pair-programming, where AI collaborates with you to write better code, faster.

1. Debugging with LLMs: Transform your debugging process with LLMs, making it more efficient and less prone to human error.
2. Test Case Generation with LLMs: Automate and enhance your test case generation using LLMs for more robust and reliable software.
3. LLM Fundamentals: Gain a deep understanding of LLMs, uncovering why they excel in tasks where traditional programming falls short.

1. LLMs in more Depth: Dive deeper into the intricate workings of LLMs, discovering advanced techniques and applications.
2. Vector Stores, What & Why: Unravel the mystery of vector stores, enhance your AI applications with Long Term Memory.
3. A 1st Vector Store Application: Implement your first vector store application, experiencing firsthand the power of this cutting-edge technology.

1. Choosing an appropriate OS LLM: Learn to select and leverage the best open-source LLM for your specific software development needs.
2. Creating our Instruct Dataset: Master the art of dataset creation, tailoring it to train your LLM for optimal performance.
3. Augmenting our Instruct Dataset: Elevate your dataset with augmentation techniques, ensuring your LLM learns effectively and efficiently.
4. PEFT & QLORA Fine-Tune on LambdaLabs: Get hands-on experience with PEFT & QLORA fine-tuning methods on LambdaLabs, enhancing your LLM's capabilities.

1. LandingLens: Explore LandingLens, a pioneering platform for visual AI, and apply it to real-world scenarios.
2. Active Learning: Engage in active learning, a dynamic approach that continuously improves your AI model's performance.
3. Data Augmentation: Learn the art of data augmentation to significantly boost the performance and accuracy of your AI models.
4. Transfer Learning: Discover how transfer learning can leapfrog the development of your AI models, utilizing pre-trained networks for rapid advancements.