{"id":149,"date":"2025-08-22T12:36:19","date_gmt":"2025-08-22T07:06:19","guid":{"rendered":"https:\/\/webxcellence.co.in\/blog\/?p=149"},"modified":"2025-12-04T19:55:52","modified_gmt":"2025-12-04T14:25:52","slug":"ai-engineering-roadmap-in-90-days-master-python-ml-llms","status":"publish","type":"post","link":"https:\/\/webxcellence.co.in\/blog\/ai-engineering-roadmap-in-90-days-master-python-ml-llms\/","title":{"rendered":"AI Engineering Roadmap in 90 Days: Master Python, ML &#038; LLMs"},"content":{"rendered":"<p><b>Description:<\/b><\/p>\n<p>An AI Engineer builds intelligent systems that learn from data. Using Python, ML, and AI tools, they create practical applications like:<\/p>\n<ul>\n<li><b>Chatbots<\/b> \u2013 AI that can converse with users, like customer support assistants.<\/li>\n<li><b>Recommendation Engines<\/b> \u2013 Systems that suggest products or content, like Netflix recommending movies or Amazon suggesting products.<\/li>\n<li><b>Predictive Models<\/b> \u2013 AI that forecasts future events, like estimating product demand next month, predicting which customers might stop using a service, or forecasting website traffic.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>Month 1 \u2013 Python for AI &amp; APIs<\/h2>\n<p><b>Goal:<\/b><\/p>\n<p>Learn Python basics, work with data, and start using AI tools to build simple applications.<\/p>\n<h3>Week 1 \u2013 Setup &amp; Python Fundamentals<\/h3>\n<ul>\n<li>Install Python (venv) and IDE (VS Code\/PyCharm)<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" style=\"width: 100%; max-width: 700px; margin-top: 10px; margin-bottom: 10px;\" src=\"https:\/\/webxcellence.co.in\/blog\/wp-content\/uploads\/2025\/09\/Install-Python-venv-and-IDE-VS-CodePyCharm.jpg\" alt=\"Install Python and IDE\" width=\"760\" height=\"212\" \/><\/li>\n<li>Git &amp; GitHub: commits, pushes, branching<\/li>\n<li><b>Libraries:<\/b>\n<ul>\n<li>NumPy \u2192 Arrays, mathematical operations<\/li>\n<li>Pandas \u2192 DataFrames, cleaning &amp; wrangling<\/li>\n<li>Matplotlib \/ Seaborn \u2192 Basic plots &amp; visualizations<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><b>Mini-project:<\/b> CSV data analysis &amp; visualization<\/p>\n<h3>Week 2 \u2013 APIs &amp; OpenAI<\/h3>\n<ul>\n<li>Python requests, JSON parsing, environment variables<\/li>\n<li>OpenAI API: chat, embeddings<\/li>\n<li>Error handling &amp; API rate limits<\/li>\n<\/ul>\n<p><b>Mini-project:<\/b> Fetch API data \u2192 summarize with GPT \u2192 save to MySQL<\/p>\n<h3>Week 3 \u2013 Hugging Face &amp; ML Basics<\/h3>\n<ul>\n<li>Hugging Face Transformers: summarization, classification<\/li>\n<li>Scikit-learn: regression, classification, train\/test split, basic tuning<\/li>\n<\/ul>\n<p><b>Mini-project:<\/b> Sentiment analyzer<\/p>\n<h3>Week 4 \u2013 Combined AI APIs<\/h3>\n<ul>\n<li>Combine OpenAI + Hugging Face in one pipeline<\/li>\n<li>Write README.md for all projects<\/li>\n<\/ul>\n<p><b>Mini-project:<\/b> GPT-powered Q&amp;A CLI tool<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2>Month 2 \u2013 LLM Tooling &amp; Retrieval-Augmented Generation (RAG)<\/h2>\n<p><b>Goal:<\/b><\/p>\n<p>Learn to build AI applications that can remember previous interactions, use external information like documents or websites, and find answers intelligently.<\/p>\n<h3>Week 5 \u2013 LangChain<\/h3>\n<ul>\n<li>Chains, agents, memory, tools<\/li>\n<li>Build a GPT chatbot with memory<\/li>\n<\/ul>\n<h3>Week 6 \u2013 LlamaIndex &amp; Vector Databases<\/h3>\n<ul>\n<li>LlamaIndex for PDF &amp; website indexing<\/li>\n<li>Vector DBs: FAISS, Chroma, Pinecone<\/li>\n<li>Manual RAG pipeline: embed \u2192 store \u2192 retrieve \u2192 answer<\/li>\n<\/ul>\n<h3>Week 7 \u2013 Project: PDF Q&amp;A Bot<\/h3>\n<ul>\n<li>LangChain + FAISS integration<\/li>\n<li>Document logging &amp; debugging<\/li>\n<li>Basic pytest tests<\/li>\n<\/ul>\n<h3>Week 8 \u2013 Project: Website AI Search Tool<\/h3>\n<ul>\n<li>Web scraping + indexing<\/li>\n<li>API error handling &amp; retries<\/li>\n<li>Architecture diagram &amp; README<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>Month 3 \u2013 Integration &amp; Deployment (Local \u2192 Cloud)<\/h2>\n<p><b>Goal:<\/b><\/p>\n<p>Learn to deploy AI applications locally and on the cloud (AWS), and integrate them securely with any backend\/frontend like <b>Laravel, Angular, or React<\/b>.<\/p>\n<h3>Week 9 \u2013 Serving AI Locally<\/h3>\n<ul>\n<li><b>FastAPI<\/b> \u2192 Create REST API endpoints for AI models<\/li>\n<li><b>Flask<\/b> \u2192 Build lightweight API services<\/li>\n<li><b>pytest<\/b> \u2192 Test your APIs<\/li>\n<li>Compare <b>FastAPI vs Flask<\/b> performance<\/li>\n<\/ul>\n<h3>Week 10 \u2013 Dashboards, Docker &amp; Cost-Friendly Cloud<\/h3>\n<ul>\n<li><b>Streamlit<\/b> \u2192 Build interactive AI dashboards<\/li>\n<li><b>Docker<\/b> \u2192 Containerize Python applications for easy deployment<\/li>\n<li><b>Google Colab + local LLMs<\/b> \u2192 Cost-effective alternatives to cloud APIs<\/li>\n<\/ul>\n<h3>Week 11 \u2013 Cloud Deployment (AWS)<\/h3>\n<ul>\n<li>Set up <b>AWS EC2<\/b> and deploy Docker containers<\/li>\n<li>Configure <b>Nginx + HTTPS (Certbot)<\/b> for secure access<\/li>\n<li>Use <b>AWS CloudWatch<\/b> for monitoring and logging<\/li>\n<\/ul>\n<h3>Week 12 \u2013 Backend Integration &amp; Final Projects<\/h3>\n<ul>\n<li>Connect your <b>Python AI APIs<\/b> with any backend\/frontend (Laravel, Angular, React)<\/li>\n<li>Secure APIs with <b>JWT\/OAuth<\/b><\/li>\n<li>Improve performance with <b>async requests &amp; caching<\/b><\/li>\n<\/ul>\n<p><b>Final Projects:<\/b><\/p>\n<ul>\n<li>AI-powered Chatbot deployed on AWS<\/li>\n<li>AI-based Product Recommender deployed on AWS<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Description: An AI Engineer builds intelligent systems that learn from data. Using Python, ML, and AI tools, they create practical applications like: Chatbots \u2013 AI that can converse with users, like customer support assistants. Recommendation Engines \u2013 Systems that suggest products or content, like Netflix recommending movies or Amazon suggesting products. Predictive Models \u2013 AI [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":175,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,19,17],"tags":[],"class_list":["post-149","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-llm","category-ml","category-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Engineering Roadmap in 90 Days: Master Python, ML &amp; LLMs - https:\/\/webxcellence.co.in\/blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/webxcellence.co.in\/blog\/ai-engineering-roadmap-in-90-days-master-python-ml-llms\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Engineering Roadmap in 90 Days: Master Python, ML &amp; LLMs - https:\/\/webxcellence.co.in\/blog\" \/>\n<meta property=\"og:description\" content=\"Description: An AI Engineer builds intelligent systems that learn from data. 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