<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[TechSimPlus Learnings]]></title><description><![CDATA[Looking for the best GenAI course for developers in 2026? Here is what to look for in projects, RAG, agents, LangGraph, MCP, deployment and real-world training.]]></description><link>https://techsimplus.hashnode.dev</link><image><url>https://cdn.hashnode.com/uploads/logos/6ac09f71cd6088ecce9bade5/3fb00275-4aaa-4850-a719-ee25f257db38.jpg</url><title>TechSimPlus Learnings</title><link>https://techsimplus.hashnode.dev</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 07 Oct 2026 14:32:28 GMT</lastBuildDate><atom:link href="https://techsimplus.hashnode.dev/rss.xml" rel="self" type="application/rss+xml"/><language><![CDATA[en]]></language><ttl>60</ttl><item><title><![CDATA[How to Become a GenAI Developer in 2026: Skills, Tools and Projects That Get You Hired]]></title><description><![CDATA[Most GenAI roadmaps list topics. This one starts from the other end: what do 2026 job descriptions for "GenAI Developer" or "AI Engineer" actually ask for, and what proof do interviewers want to see?
]]></description><link>https://techsimplus.hashnode.dev/how-to-become-a-genai-developer-in-2026-skills-tools-and-projects-that-get-you-hired</link><guid isPermaLink="true">https://techsimplus.hashnode.dev/how-to-become-a-genai-developer-in-2026-skills-tools-and-projects-that-get-you-hired</guid><category><![CDATA[generative ai]]></category><category><![CDATA[AI Engineering]]></category><category><![CDATA[llm]]></category><category><![CDATA[RAG ]]></category><category><![CDATA[Career]]></category><dc:creator><![CDATA[TechSimPlus Learnings]]></dc:creator><pubDate>Sat, 03 Oct 2026 12:40:40 GMT</pubDate><content:encoded><![CDATA[<p>Most GenAI roadmaps list topics. This one starts from the other end: what do 2026 job descriptions for "GenAI Developer" or "AI Engineer" actually ask for, and what proof do interviewers want to see?</p>
<h2>What hiring managers look for</h2>
<p>Across AI Engineer, LLM Engineer and Agentic AI Engineer roles, the same five themes repeat:</p>
<ol>
<li><p>Building LLM features behind reliable APIs</p>
</li>
<li><p>Production RAG with evaluation</p>
</li>
<li><p>Agentic workflows and tool integration (LangGraph, MCP)</p>
</li>
<li><p>Cloud AI platforms (AWS Bedrock, Azure OpenAI)</p>
</li>
<li><p>Deployment, monitoring and cost control</p>
</li>
</ol>
<p>Notice what is missing: training foundation models. That is a research role. A GenAI developer builds products on top of models.</p>
<h2>The skill map</h2>
<table>
<thead>
<tr>
<th>Skill area</th>
<th>Tools to know</th>
<th>Interview question you must answer</th>
</tr>
</thead>
<tbody><tr>
<td>APIs</td>
<td>FastAPI, Pydantic, Postgres, Docker</td>
<td>How do you stop one slow LLM call from blocking other users?</td>
</tr>
<tr>
<td>LLM foundations</td>
<td>OpenAI, Claude, Ollama, LangChain</td>
<td>Why does a model hallucinate, and how do you reduce it?</td>
</tr>
<tr>
<td>RAG</td>
<td>pgvector, Qdrant, Pinecone, Docling, RAGAS</td>
<td>Why did you choose this chunk size? Prove it with numbers.</td>
</tr>
<tr>
<td>Workflows</td>
<td>LangGraph, Postgres checkpointer</td>
<td>What happens if the server crashes mid-workflow?</td>
</tr>
<tr>
<td>Agents</td>
<td>MCP, A2A, CrewAI</td>
<td>How do you stop an agent looping forever or calling a dangerous tool?</td>
</tr>
<tr>
<td>Cloud</td>
<td>AWS Bedrock, Azure AI</td>
<td>When would you pick Bedrock over calling OpenAI directly?</td>
</tr>
<tr>
<td>Fine-tuning</td>
<td>Hugging Face PEFT, LoRA, QLoRA</td>
<td>When is fine-tuning the wrong answer?</td>
</tr>
<tr>
<td>LLMOps</td>
<td>vLLM, LiteLLM, Redis, Kubernetes</td>
<td>How would you serve 10 million requests a day?</td>
</tr>
</tbody></table>
<h2>The portfolio that proves it</h2>
<p>Certificates do not get you hired. A GitHub with deployed, documented systems does. Aim for projects that look like real business problems:</p>
<ul>
<li><p><strong>Document intelligence API:</strong> invoices or receipts to validated JSON, with human review for low-confidence fields</p>
</li>
<li><p><strong>Compliance or policy copilot:</strong> RAG with citations and per-customer permissions</p>
</li>
<li><p><strong>Durable workflow engine:</strong> claims or loan processing that survives crashes</p>
</li>
<li><p><strong>Multi-agent assistant:</strong> agents using MCP tools, with approval before any action</p>
</li>
<li><p><strong>LLM platform:</strong> a gateway with caching, rate limits and load-test results</p>
</li>
</ul>
<p>For each project, write an architecture decision record (ADR) and record a 2-minute demo video. Interviewers love asking "why did you choose X?" and an ADR means you already have the answer.</p>
<h2>Where to start this week</h2>
<p>Build one FastAPI endpoint that takes a document, calls an LLM with structured output and stores the result in Postgres. That single project touches 60% of the roadmap.</p>
<h2>A structured option</h2>
<p>The five project types above are exactly what learners build in <a href="https://vector.techsimplus.com/?utm_source=hashnode&amp;utm_medium=blog&amp;utm_campaign=vector2_roadmap"><strong>Vector 2.0 by TechSimPlus</strong></a>, a live 3-month Gen-AI developer cohort taught by <strong>Prateek Mishra</strong> (Sr. Gen-AI Developer, 12,000+ engineers taught). It includes 5 one-on-one mock interviews. Early-bird fee is ₹16,800 till 30 Oct 2026</p>
]]></content:encoded></item><item><title><![CDATA[Best Generative AI Course for Developers in India]]></title><description><![CDATA[India has more Gen-AI course options than ever, and most backend, data, QA and DevOps developers I speak to are confused by the choice. This guide explains what to look for, specifically for developer]]></description><link>https://techsimplus.hashnode.dev/best-generative-ai-course-for-developers-in-india</link><guid isPermaLink="true">https://techsimplus.hashnode.dev/best-generative-ai-course-for-developers-in-india</guid><category><![CDATA[generative ai]]></category><category><![CDATA[ai course]]></category><category><![CDATA[Career]]></category><category><![CDATA[genai]]></category><category><![CDATA[llm]]></category><category><![CDATA[RAG ]]></category><category><![CDATA[agentic AI]]></category><dc:creator><![CDATA[TechSimPlus Learnings]]></dc:creator><pubDate>Tue, 15 Sep 2026 05:00:00 GMT</pubDate><content:encoded><![CDATA[<p>India has more Gen-AI course options than ever, and most backend, data, QA and DevOps developers I speak to are confused by the choice. This guide explains what to look for, specifically for developers working in India or targeting Indian and remote roles.</p>
<h2>What Indian Gen-AI roles ask for in 2026</h2>
<p>Product companies, GCCs (global capability centres) and services firms hiring AI Engineers and Gen-AI Developers repeatedly ask for: production RAG, agentic workflows with LangGraph, AWS Bedrock or Azure OpenAI experience, evaluation and LLMOps. Many also value domain projects relevant to Indian business, such as GST, fintech compliance and insurance.</p>
<h2>Five factors that matter for Indian developers</h2>
<ol>
<li><p><strong>Timings in IST that work around a job.</strong> Early-morning or late-evening weekday sessions plus weekends.</p>
</li>
<li><p><strong>Projects on Indian business problems.</strong> Interviewers relate instantly to GST invoices, RBI circulars or insurance claims.</p>
</li>
<li><p><strong>Both AWS and Azure.</strong> Indian enterprises and GCCs are split between the two clouds.</p>
</li>
<li><p><strong>Interview preparation for Indian and remote roles.</strong> Including system design, client-facing rounds and salary negotiation.</p>
</li>
<li><p><strong>Transparent fee in rupees.</strong> With a clear refund policy and an invoice for company reimbursement.</p>
</li>
</ol>
<h2>Live cohort vs recorded course vs degree programme</h2>
<table>
<thead>
<tr>
<th>Option</th>
<th>Best for</th>
<th>Watch out for</th>
</tr>
</thead>
<tbody><tr>
<td>Recorded video course</td>
<td>Self-driven learners on a tight budget</td>
<td>Low completion, no feedback, no portfolio review</td>
</tr>
<tr>
<td>Live project-based cohort</td>
<td>Working developers who want to switch into Gen-AI roles</td>
<td>Needs ~12 to 16 hours a week</td>
</tr>
<tr>
<td>University or long degree programme</td>
<td>Those who want a formal credential</td>
<td>Long duration, syllabus may lag the industry</td>
</tr>
</tbody></table>
<h2>Vector 2.0: built for Indian developers</h2>
<p><a href="https://vector.techsimplus.com/"><strong>Vector 2.0 by TechSimPlus</strong></a> is a live, project-led Gen-AI developer course taught by <a href="https://vector.techsimplus.com/prateek-mishra"><strong>Prateek Mishra</strong></a>, a Sr. Gen-AI Developer with 9 years of experience who has taught 12,000+ engineers. It was designed around the factors above:</p>
<ul>
<li><p><strong>IST schedule:</strong> Tue and Thu 6:30 to 8:30 AM or 8:00 to 10:00 PM, plus Sat and Sun 10 AM to 4 PM, with recordings</p>
</li>
<li><p><strong>Indian business projects:</strong> LedgerLens (GST invoice intelligence), RegRadar (RBI and SEBI compliance copilot), ClaimSense (health insurance claims), TripPilot (multi-agent travel concierge), TokenGrid (platform for 10 million requests a day)</p>
</li>
<li><p><strong>Both clouds:</strong> AWS Bedrock and Azure AI, with your choice of deployment track</p>
</li>
<li><p><strong>Career:</strong> 5 one-on-one mock interviews, Demo Day with hiring partners, resume, GitHub and LinkedIn reviews, and a salary negotiation playbook for India and remote roles</p>
</li>
<li><p><strong>Fee:</strong> ₹16,800 early-bird till 30 Oct 2026, ₹21,000 after, 3-day refund</p>
</li>
</ul>
<p>It is also open to developers in the UAE, UK, US and Singapore who can attend IST sessions or use recordings.</p>
<p>The cohort starts <strong>21 Nov 2026</strong> with 150 engineers per batch:</p>
<p><strong>Check the Complete Course Content:</strong><br /><a href="https://vector.techsimplus.com/?utm%5C_source=hashnode&amp;utm%5C_medium=blog&amp;utm%5C_campaign=vector2%5C_bestcourse">https://vector.techsimplus.com/?utm\_source=hashnode&amp;utm\_medium=blog&amp;utm\_campaign=vector2\_bestcourse</a></p>
]]></content:encoded></item></channel></rss>