AI/GenAI Roadmap for Freshers: What to Learn Next (June 2024)

This week, I saw multiple freshers stuck at the same point: they’re “learning AI,” but can’t answer *which* GenAI tools, frameworks, or skills are actually in demand right now. If you’re in Pune or anywhere in India and want to be job-ready, you need a focused, current roadmap—not a random YouTube playlist.

Why You Need a Real-Time AI/GenAI Roadmap

The Indian tech job market (including Pune) is shifting fast. “AI Engineer” and “GenAI Developer” titles are everywhere, but companies aren’t just looking for people who can run ChatGPT prompts. They want engineers who can build, deploy, and maintain real-world AI apps—often as part of full-stack teams, with cloud and data skills too [[12]](https://www.instagram.com/p/DdTxLwrjTZL/), [[10]](https://www.linkedin.com/pulse/should-you-jump-ai-2026-honest-check-roys-ai-lab-tgatc).

This week’s releases and job signals show a clear direction: you need to be hands-on with the latest GenAI tools (LangChain, LangGraph), have a solid Python base, and know how to ship AI features inside real web apps (Next.js, cloud basics).

This Week’s Demand Signals: What’s Hot (and What’s Not)

Here’s what’s actually moving in the market right now:

• LangChain & LangGraph: Both released new versions this week, with updates focused on structured tool arguments and workflow automation [[1]](https://github.com/langchain-ai/langchainjs/releases/tag/%40langchain/core%401.2.12), [[2]](https://github.com/langchain-ai/langgraphjs/releases/tag/%40langchain/langgraph-cli%401.5.0). These are the backbone of GenAI-powered apps—if you want to build chatbots, AI agents, or workflow tools, you need to know these.
• Next.js: Still the go-to for full-stack web apps, with bugfixes and optimizations in v16.3.5 [[3]](https://github.com/vercel/next.js/releases/tag/v16.3.5). Most AI features you’ll build as a fresher will be deployed as web apps, not standalone scripts.
• Python, Cloud, Data: Every serious AI job description (including in Pune) lists Python, cloud basics, and data handling as must-haves [[4]](https://www.instagram.com/reel/DdT4-LRRqXW/), [[5]](https://www.facebook.com/61563737320708/videos/become-ai-engineer-in-just-6-months-all-free-resources-follow-me-comment-ai-to-g/1121086500247242/), [[11]](https://www.foundit.in/career-advice/how-to-build-a-successful-career-in-ai/).

The 2024 AI/GenAI Fresher Roadmap (June Edition)

Here’s what you should *actually* learn next, based on this week’s signals:

1. Python (with OOPs): You can’t skip this. Write scripts, build classes, and get comfortable with VS Code or Google Colab [[8]](https://www.facebook.com/Gouthi.sankeerth/posts/comment-roadmap-for-linkyou-can-also-find-it-in-my-bio-linktree-or-in-my-broadca/3723919231092117/).
2. Math for AI: Basics of linear algebra, calculus, and statistics. You don’t need a PhD, but you do need to understand what’s happening under the hood [[7]](https://www.instagram.com/reel/DdZvuYDTplO/).
3. LangChain & LangGraph: Learn how to build AI agents and workflows. Start with the latest docs and try out the new features—this week’s update lets you preserve structured tool arguments, which is key for chaining complex tasks [[1]](https://github.com/langchain-ai/langchainjs/releases/tag/%40langchain/core%401.2.12), [[2]](https://github.com/langchain-ai/langgraphjs/releases/tag/%40langchain/langgraph-cli%401.5.0).
4. Next.js (v16+): Build and deploy a simple AI-powered web app. Learn how to use the image component, handle caching, and deploy to Vercel or any cloud provider [[3]](https://github.com/vercel/next.js/releases/tag/v16.3.5).
5. Cloud Basics: Get hands-on with deploying apps—AWS, GCP, or Azure. You don’t need deep DevOps, but you *do* need to know how to push your app live [[5]](https://www.facebook.com/61563737320708/videos/become-ai-engineer-in-just-6-months-all-free-resources-follow-me-comment-ai-to-g/1121086500247242/).
6. Project Portfolio: Build 2-3 small projects that combine the above—think AI chatbot, GenAI workflow, or data-driven dashboard.

Action Checklist: What To Do This Week

1. Set up your Python + VS Code/Colab environment.
2. Read the latest LangChain and LangGraph release notes—try out the structured arguments feature in a toy project [[1]](https://github.com/langchain-ai/langchainjs/releases/tag/%40langchain/core%401.2.12), [[2]](https://github.com/langchain-ai/langgraphjs/releases/tag/%40langchain/langgraph-cli%401.5.0).
3. Clone a Next.js starter app and add a simple AI-powered feature (e.g., chatbot, image generator).
4. Deploy your app to Vercel or a cloud platform—don’t just run it locally.
5. Document your project on GitHub with a clear README and demo video.
6. Share your project with a mentor or peer for feedback.

The AI/GenAI Hiring Reality: 2024

• There’s a *huge* supply gap for GenAI engineers in India—up to 43% for some roles [[13]](https://www.linkedin.com/posts/skbharath_talentacquisition-aitalent-techhiring-activity-7506248262031597568-aTGV).
• Companies are adding “AI” to job titles, but still expect you to know full-stack basics, cloud, and data—not just AI theory [[12]](https://www.instagram.com/p/DdTxLwrjTZL/).
• The real wage premium (up to 40% higher) goes to those who can build and deploy *real* AI features, not just run models in Jupyter [[10]](https://www.linkedin.com/pulse/should-you-jump-ai-2026-honest-check-roys-ai-lab-tgatc).

This week, do this

• Pick *one* GenAI tool (LangChain or LangGraph) and build a small demo using the latest version.
• Add an AI feature to a Next.js app and deploy it.
• Document your work and share it for feedback.
• Don’t get distracted by “AI hype”—focus on skills that show up in real job descriptions.

Ready to get serious? Join the waitlist for 1-on-1 mentorship: https://pritamkamble.com/#apply