The Scrimba Podcast

From veterinary technician to front-end engineer, Amy shares her career transition journey. She discusses the importance of networking, gaps in knowledge post-bootcamp, and making coding less lonely. Amy explains why she loves JavaScript, HTML, and CSS, and how she found success in her job hunt with a new approach. The podcast also covers using generative AI tools for job interviews and self-directed study planning tips.

Meet Chris, a teacher-turned-developer who shares his journey of switching careers by enrolling in a London boot camp. He discusses the differences between boot camps and self-learning online, highlighting the importance of perseverance and successful learning strategies. Chris also shares how platforms like Scrimba helped him land his dream job, emphasizing the value of interactive learning in coding education.

Dev Agrawal, a software developer and React expert, discusses the current state of React and addresses concerns about its complexity and lack of updates. He also talks about his journey into web development, the value of soft skills and college education, the importance of choosing a personalized learning path, and the misalignment between the React team and the community. The podcast also touches on the significance of technology considerations and user needs in decision-making.

Parul Singh, Tech Careers & Neurodiversity Consultant, shares unique insights on hiring in tech and how to stand out as a junior developer. The episode covers alternatives to LinkedIn, CV and cover letter tips, undisclosed salary ranges, and the importance of advocating for marginalized groups in the workplace.

Swyx, developer, writer, and startup advisor, discusses the rise of AI engineers, the differences between AI and ML engineers, and the demand for this specialization. He also talks about successful products made using existing foundation models and the practical considerations of running AI models. The podcast explores the cost advantages of using APIs or cloud providers for AI engineering and the career implications of being an AI engineer.

Career coach Adam Broda discusses his framework for navigating today's job market, including identifying passions, skills, environment, and compensation. They also discuss the current state of the job market and different phases of networking. Other topics include transitioning from aerospace engineering to tech, leveraging self-taught expertise, and the importance of passion and trusting your gut in your career.

Cassie Lewis, a Scrimba student with a fine arts degree, shares her journey of transitioning from retail to software engineering. She discusses effective living, overcoming burnout, setting goals, and landing her first dev job. Topics include nonfiction reading, deploying systems, breaking into the tech industry, building a React component, and starting an entry-level position.

🎙 About the episodeMeet Bob Ziroll 🇺🇸! Bob is Scrimba's Head of Education and one of the Internet's favorite React teachers. His latest course is on AI, but don't worry, there's React... I mean, ReAct in AI as well!In the previous three episodes, we defined an AI engineer and demystified their tools. We explored foundation models and discussed how to personalize them through retrieval augmented generation and fine-tuning. We also delved into various use cases for incorporating AI models into your projects and explored why ChatGPT has brought a fundamental shift in how we perceive AI.Today, Bob will guide us through the realm of AI agents, representing the future of automation. An AI agent is capable of perceiving its environment. What does that mean, and how can one create an AI agent? Also, will they eventually take over the world?Bob will also give us actionable advice on how to stay ahead of the curve in the fast-changing world of AI models, and discuss his vision for the future of AI.Bob's AI agents and automation course is part of Scrimba's brand-new AI path. Let's dive in!This is the final episode of our series on AI engineering, introducing Scrimba's AI Engineer Path. This path is your gateway to unlocking the full potential of AI for your projects. 🔗 Connect with Bob👨🏼‍💼 Linkedin🐦 Twitter⏰ TimestampsNowadays, Bob teaches both React and AI (01:34)AI is moving even faster than the front end (02:16)What's new in the world of AI and coding (02:46)ChatGPT vs. the GPT foundation model (04:15)What is an AI agent (05:45)The Terminator! (09:33)We didn't invent AI; we discovered it (10:29)Midroll! (11:56)Prominent examples of AI agents today (12:35)Will AI agents replace people (15:25)Why you shouldn't fear nor ignore AI (18:12)Any predictions about AI are temporary and short-lived (21:36)How can you build your own AI agent? (24:34)React... and REact (31:26)Advice on how to stay up-to-date without getting totally overwhelmed (35:58)🧰 Resources MentionedThe AI Engineer PathAgentGPT⭐️ Leave a ReviewIf you enjoyed this episode, please leave a 5-star review here and tell us who you want to see on the next podcast.You can also Tweet Alex from Scrimba at @bookercodes and tell them what lessons you learned from the episode so that he can thank you personally for tuning in 🙏 Or tell Jan he's butchered your name here.

Guil Hernandez, developer and educator with 15 years of experience, explores the concept of retrieval-augmented generation in AI engineering. He explains how AI models turn inputs into embeddings and teaches how to connect models to specific data sources for better results. The episode covers the applications of retrieval-augmented generation, including building a chatbot that provides career advice and transcribing calls. Differences between retrieval-augmented generation and fine tuning are also discussed.

Tom Chant, a Scrimba instructor and AI engineer, discusses AI foundation models and their impact on front-end applications. They explore practical applications, GPT versions and capabilities, prompt engineering skills, and the significance of social media support.