{"id":2427,"date":"2025-07-29T06:42:17","date_gmt":"2025-07-29T06:42:17","guid":{"rendered":"https:\/\/sansatechnology.net\/wordpress\/?page_id=2427"},"modified":"2025-11-12T18:26:52","modified_gmt":"2025-11-12T18:26:52","slug":"generative_ai_agentic_ai","status":"publish","type":"page","link":"https:\/\/sansatechnology.net\/wordpress\/professional-training\/generative_ai_agentic_ai\/","title":{"rendered":"Generative AI and Agentic AI Programming"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2427\" class=\"elementor elementor-2427\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d446ace e-flex e-con-boxed e-con e-parent\" data-id=\"d446ace\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-71a9d64 e-con-full e-flex e-con e-child\" data-id=\"71a9d64\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e40d5c8 elementor-widget elementor-widget-heading\" data-id=\"e40d5c8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Generative AI and Agentic AI Programming<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df164c9 elementor-widget elementor-widget-text-editor\" data-id=\"df164c9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Instructor Led Online and In-Person Training Program<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3b8b209 e-flex e-con-boxed e-con e-parent\" data-id=\"3b8b209\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2bee5f5 e-con-full e-flex e-con e-child\" data-id=\"2bee5f5\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-386f065 elementor-widget elementor-widget-heading\" data-id=\"386f065\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Course Program<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-159a9a0 elementor-widget elementor-widget-heading\" data-id=\"159a9a0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Generative AI and Agentic AI Programming<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-744d814 elementor-widget elementor-widget-text-editor\" data-id=\"744d814\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li><strong data-start=\"178\" data-end=\"196\">Prerequisites:<\/strong> None \u2014 open to all professionals with an interest in AI and Python programming<\/li><li><strong data-start=\"278\" data-end=\"299\">Mode of Delivery:<\/strong> In-Person, Online (Live Virtual), and Classroom options available<\/li><li><strong data-start=\"368\" data-end=\"381\">Duration:<\/strong><ul><li><strong data-start=\"401\" data-end=\"423\" data-is-only-node=\"\">6 weeks (36 hours)<\/strong> of guided instruction and resume preparation,<\/li><li><strong data-start=\"475\" data-end=\"486\">2 additional weeks<\/strong> dedicated to a hands-on <strong data-start=\"511\" data-end=\"528\">Final Project<\/strong><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f7bb7d elementor-align-center elementor-widget elementor-widget-button\" data-id=\"0f7bb7d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/sansatechnology.net\/wordpress\/product\/generative-ai-and-agentic-ai-programming-training\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Enroll Now!<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1db74a6 e-con-full e-flex e-con e-child\" data-id=\"1db74a6\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3088a87 elementor-widget elementor-widget-text-editor\" data-id=\"3088a87\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-section-id=\"en8mmj\" data-start=\"102\" data-end=\"127\">\ud83d\udd0d\u00a0<strong data-start=\"108\" data-end=\"127\">Course Overview<\/strong><\/h2><p data-start=\"302\" data-end=\"708\">This <strong data-start=\"307\" data-end=\"346\">instructor-led professional program<\/strong> offers a practical, end-to-end journey through <strong data-start=\"394\" data-end=\"451\">Generative AI and Agentic AI development using Python<\/strong>.<br data-start=\"452\" data-end=\"455\" \/>Across <strong data-start=\"462\" data-end=\"477\">12+ sessions<\/strong>, you\u2019ll gain deep, hands-on experience with modern AI tools and frameworks \u2014 including <strong data-start=\"565\" data-end=\"580\">OpenAI APIs<\/strong>, <strong data-start=\"582\" data-end=\"595\">LangChain<\/strong>, <strong data-start=\"597\" data-end=\"610\">LangGraph<\/strong>, <strong data-start=\"612\" data-end=\"625\">LangSmith<\/strong>, <strong data-start=\"627\" data-end=\"656\">vector databases (Milvus)<\/strong>, and <strong data-start=\"662\" data-end=\"689\">machine learning models<\/strong> for predictive AI.<\/p><p data-start=\"710\" data-end=\"1020\">The curriculum progresses from <strong data-start=\"741\" data-end=\"764\">Python fundamentals<\/strong> to <strong data-start=\"768\" data-end=\"830\">building, evaluating, and deploying intelligent AI systems<\/strong>, culminating in a <strong data-start=\"849\" data-end=\"885\">portfolio-grade capstone project<\/strong> that showcases your expertise in GPT-powered applications, <strong data-start=\"945\" data-end=\"985\">Retrieval-Augmented Generation (RAG)<\/strong> systems, or <strong data-start=\"998\" data-end=\"1019\">agentic workflows<\/strong>.<\/p><h3 data-section-id=\"1ssiosy\" data-start=\"720\" data-end=\"746\">\u2705\u00a0<strong data-start=\"726\" data-end=\"746\">What You\u2019ll Gain<\/strong><\/h3><p data-start=\"248\" data-end=\"519\">\ud83d\ude80 <strong data-start=\"251\" data-end=\"278\">Jump into the AI Domain<\/strong><br data-start=\"278\" data-end=\"281\" \/>Learn how to work hands-on with <strong data-start=\"313\" data-end=\"353\">Generative AI tools and technologies<\/strong> \u2014 including <strong data-start=\"366\" data-end=\"387\">OpenAI GPT models<\/strong>, <strong data-start=\"389\" data-end=\"402\">LangChain<\/strong>, <strong data-start=\"404\" data-end=\"417\">LangGraph<\/strong>, <strong data-start=\"419\" data-end=\"432\">LangSmith<\/strong>, and <strong data-start=\"438\" data-end=\"458\">vector databases<\/strong> \u2014 to design, build, and evaluate intelligent applications.<\/p><p data-start=\"521\" data-end=\"743\">\ud83d\udca1 <strong data-start=\"524\" data-end=\"559\">Master Practical AI Development<\/strong><br data-start=\"559\" data-end=\"562\" \/>Gain experience developing end-to-end solutions that combine <strong data-start=\"623\" data-end=\"645\">prompt engineering<\/strong>, <strong data-start=\"647\" data-end=\"687\">RAG (Retrieval-Augmented Generation)<\/strong>, and <strong data-start=\"693\" data-end=\"708\">fine-tuning<\/strong> to solve real business problems.<\/p><p data-start=\"745\" data-end=\"957\">\ud83e\udde0 <strong data-start=\"748\" data-end=\"790\">Build Intelligent Workflows and Agents<\/strong><br data-start=\"790\" data-end=\"793\" \/>Create multi-step AI workflows using <strong data-start=\"830\" data-end=\"843\">LangChain<\/strong> and orchestrate <strong data-start=\"860\" data-end=\"881\">autonomous agents<\/strong> through <strong data-start=\"890\" data-end=\"903\">LangGraph<\/strong> for planning, decision-making, and task automation.<\/p><p data-start=\"959\" data-end=\"1151\">\ud83d\udcca <strong data-start=\"962\" data-end=\"999\">Evaluate and Optimize Performance<\/strong><br data-start=\"999\" data-end=\"1002\" \/>Use <strong data-start=\"1006\" data-end=\"1019\">LangSmith<\/strong> to trace, debug, and measure the quality of your AI models and pipelines with metrics like accuracy, precision, and faithfulness.<\/p><p data-start=\"1153\" data-end=\"1366\">\ud83e\uddf0 <strong data-start=\"1156\" data-end=\"1194\">Develop and Deploy with Confidence<\/strong><br data-start=\"1194\" data-end=\"1197\" \/>Learn how to integrate and deploy your AI projects using tools like <strong data-start=\"1265\" data-end=\"1278\">Streamlit<\/strong> and <strong data-start=\"1283\" data-end=\"1293\">Gradio<\/strong>, and work seamlessly across <strong data-start=\"1322\" data-end=\"1332\">OpenAI<\/strong> and <strong data-start=\"1337\" data-end=\"1363\">local LLM environments<\/strong>.<\/p><p data-start=\"1368\" data-end=\"1611\">\ud83c\udfc6 <strong data-start=\"1371\" data-end=\"1398\">Showcase Your Expertise<\/strong><br data-start=\"1398\" data-end=\"1401\" \/>Complete a <strong data-start=\"1412\" data-end=\"1448\">portfolio-ready capstone project<\/strong> that demonstrates your ability to design, build, and deploy Generative AI applications \u2014 supported by <strong data-start=\"1551\" data-end=\"1587\">resume and interview preparation<\/strong> for AI-focused roles.<\/p><h3 data-section-id=\"bjysb5\" data-start=\"1174\" data-end=\"1202\">\ud83d\udc65 <strong data-start=\"1181\" data-end=\"1202\">Who Should Enroll<\/strong><\/h3><ul><li data-start=\"349\" data-end=\"452\"><p data-start=\"351\" data-end=\"452\"><strong data-start=\"351\" data-end=\"386\">Software Developers &amp; Engineers<\/strong> who want to specialize in Generative and Agentic AI development<\/p><\/li><li data-start=\"453\" data-end=\"577\"><p data-start=\"455\" data-end=\"577\"><strong data-start=\"455\" data-end=\"476\">AI\/ML Enthusiasts<\/strong> with basic Python knowledge looking for hands-on training in large language models and RAG systems<\/p><\/li><li data-start=\"578\" data-end=\"697\"><p data-start=\"580\" data-end=\"697\"><strong data-start=\"580\" data-end=\"628\">Product Managers, Tech Leads, and Innovators<\/strong> exploring AI-powered automation, chatbots, and enterprise copilots<\/p><\/li><li data-start=\"698\" data-end=\"870\"><p data-start=\"700\" data-end=\"870\"><strong data-start=\"700\" data-end=\"731\">Quality Assurance Engineers<\/strong> who want to learn how Generative AI can enhance testing workflows \u2014 or become more effective testers of AI and GenAI-driven applications<\/p><\/li><li data-start=\"871\" data-end=\"1008\"><p data-start=\"873\" data-end=\"1008\"><strong data-start=\"873\" data-end=\"890\">Professionals<\/strong> looking to confidently build, evaluate, and deploy <strong data-start=\"942\" data-end=\"970\">GPT-powered applications<\/strong> in real-world business environments<\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf4777e elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"cf4777e\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-star\" viewBox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M259.3 17.8L194 150.2 47.9 171.5c-26.2 3.8-36.7 36.1-17.7 54.6l105.7 103-25 145.5c-4.5 26.3 23.2 46 46.4 33.7L288 439.6l130.7 68.7c23.2 12.2 50.9-7.4 46.4-33.7l-25-145.5 105.7-103c19-18.5 8.5-50.8-17.7-54.6L382 150.2 316.7 17.8c-11.7-23.6-45.6-23.9-57.4 0z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ccc099e elementor-widget elementor-widget-text-editor\" data-id=\"ccc099e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>&#8220;Growth begins at the edge of your comfort zone\u2014keep pushing, keep evolving.&#8221;<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-be42c62 e-flex e-con-boxed e-con e-parent\" data-id=\"be42c62\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f968373 elementor-widget elementor-widget-heading\" data-id=\"f968373\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What will be covered?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6bd2e78 elementor-widget elementor-widget-text-editor\" data-id=\"6bd2e78\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Course is divided in three sections.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bn6ezid elementor-section-content-top elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bn6ezid\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-dae59b1\" data-id=\"dae59b1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c163e08 elementor-widget elementor-widget-text-editor\" data-id=\"c163e08\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>Session 1: Python Intro + OpenAI API Setup<\/h2><ul><li>Python fundamentals: syntax, variables, conditionals, loops, and functions<\/li><li>Exception handling basics<\/li><li>OpenAI API setup and environment configuration<\/li><li>Installing and using the OpenAI Python package<\/li><li>Lab: Write your first GPT chatbot using the OpenAI API<\/li><\/ul><h2>Session 2: Python for GenAI<\/h2><ul><li>Python working with Data types: strings, lists, dictionaries, and sets<\/li><li>Working with JSON, and API requests<\/li><li>Key libraries: pandas, numpy, requests, re, os, dotenv<\/li><li>Prompt engineering concepts with f-strings<\/li><li>OpenAI moderation API<\/li><li>Lab: Build a mini text-to-text transformer using OpenAI API including inbound moderation<\/li><\/ul><h2>Session 3: Working with Local LLMs<\/h2><ul><li>Overview of open-source LLMs such as LLaMA, Mistral, Phi, Gemma, GPT-OSS<\/li><li>Running models locally using Ollama<\/li><li>Hands-on: Prompting, inference, and comparison with OpenAI models<\/li><li>Lab: Run a local LLM and generate accounting or HR responses<\/li><\/ul><h2>Session 4: Retrieval-Augmented Generation (RAG)<\/h2><ul><li>Introduction to embeddings and vector search<\/li><li>Document loaders and chunking strategies<\/li><li>RAG pipeline setup<\/li><li>Lab: Build a document Q&amp;A bot using your own PDFs or Document Chunks<\/li><\/ul><h2>Session 5: Vector Databases (Milvus)<\/h2><ul><li>Understanding embeddings and cosine similarity<\/li><li>Setting up Milvus locally<\/li><li>Performing insertions, search, and similarity queries<\/li><li>Lab: Index and retrieve text data using Milvus<\/li><\/ul><h2><span style=\"font-size: 3rem;\">Session 6: Fine-Tuning LLMs<\/span><\/h2><ul style=\"font-size: 15px; font-style: normal; font-weight: 400;\"><li style=\"font-size: 15px;\">When and why to fine-tune a model<\/li><li style=\"font-size: 15px;\">Dataset preparation and JSONL format<\/li><li style=\"font-size: 15px;\">Fine-tuning with OpenAI<\/li><li style=\"font-size: 15px;\">Lab: Fine-tune OpenAI for classification or structured output<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-690ed9e\" data-id=\"690ed9e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e382e9 elementor-widget elementor-widget-text-editor\" data-id=\"5e382e9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-size: 3rem; font-style: inherit;\">Session 7: Agentic AI Concepts<\/span><\/h2><ul><li>What are agents and how they differ from chatbots<\/li><li>Core agent loop: plan \u2192 act \u2192 observe \u2192 refine<\/li><li>Introduction to LangGraph and multi-agent collaboration<\/li><li>Lab: Create a two-agent conversation workflow<\/li><\/ul><div><h2 style=\"font-style: normal; color: #0f172a;\">Session 8: MCP Protocol and Server Hosting<\/h2><ul style=\"font-size: 15px; font-style: normal; font-weight: 400;\"><li style=\"font-size: 15px;\">Understanding Model Context Protocol (MCP)<\/li><li style=\"font-size: 15px;\">Hosting your own MCP server for custom AI tools<\/li><li style=\"font-size: 15px;\">Integrating MCP with OpenAI ecosystem<\/li><li style=\"font-size: 15px;\">Lab: Deploy a simple MCP service for external access<\/li><\/ul><div><h2 style=\"font-style: normal; color: #0f172a;\">Session 9: Evaluation Frameworks<\/h2><ul style=\"font-size: 15px; font-style: normal; font-weight: 400;\"><li style=\"font-size: 15px;\">Introduction to model evaluation and RAGAS metrics<\/li><li style=\"font-size: 15px;\">Context precision, recall, faithfulness, and answer correctness<\/li><li style=\"font-size: 15px;\">Evaluation measurement using Ragas<\/li><li style=\"font-size: 15px;\">Lab: Evaluate chatbot accuracy using LangSmith or RAGAS<\/li><\/ul><div><h2 style=\"font-style: normal; color: #0f172a;\">Session 10: LangSmith for Evaluation and Observability<\/h2><ul style=\"font-size: 15px; font-style: normal; font-weight: 400;\"><li style=\"font-size: 15px;\" data-start=\"1255\" data-end=\"1318\">Purpose of LangSmith and integration with LangChain\/LangGraph<\/li><li style=\"font-size: 15px;\" data-start=\"1321\" data-end=\"1385\">Tracing model calls, tracking metrics, and analyzing responses<\/li><li style=\"font-size: 15px;\" data-start=\"1388\" data-end=\"1434\">Comparing different prompt or model versions<\/li><li style=\"font-size: 15px;\" data-start=\"1437\" data-end=\"1484\">Setting up datasets for structured evaluation<\/li><li style=\"font-size: 15px;\" data-start=\"1487\" data-end=\"1550\">Best practices for reproducibility and performance monitoring<\/li><li style=\"font-size: 15px;\" data-start=\"1553\" data-end=\"1633\"><span style=\"font-weight: bold;\" data-start=\"1553\" data-end=\"1561\">Lab:<\/span>\u00a0Evaluate chatbot accuracy and trace agent performance using LangSmith<\/li><\/ul><\/div><\/div><\/div><h2>Session 11: LangChain Foundations<\/h2><ul><li data-start=\"352\" data-end=\"408\">Understanding the LangChain framework and architecture<\/li><li data-start=\"411\" data-end=\"470\">Building modular pipelines with chains, tools, and agents<\/li><li data-start=\"473\" data-end=\"532\">Prompt templates, memory management, and document loaders<\/li><li data-start=\"535\" data-end=\"587\">Integration with vector databases (Milvus, Chroma)<\/li><li data-start=\"590\" data-end=\"644\">Calling external APIs and custom tools inside chains<\/li><li data-start=\"647\" data-end=\"736\"><strong data-start=\"647\" data-end=\"655\">Lab:<\/strong> Build a workflow that summarizes uploaded documents and answers user questions<\/li><\/ul><h2>Session 12: LangGraph for Agentic Orchestration<\/h2><ul><li data-start=\"801\" data-end=\"873\">Introduction to LangGraph concepts: nodes, edges, and state management<\/li><li data-start=\"876\" data-end=\"928\">Designing multi-step workflows and branching logic<\/li><li data-start=\"931\" data-end=\"979\">Managing memory, retries, and failure handling<\/li><li data-start=\"982\" data-end=\"1037\">Visualizing graph flow for debugging and optimization<\/li><li data-start=\"1040\" data-end=\"1101\">Combining LangChain tools with LangGraph for complex agents<\/li><li data-start=\"1104\" data-end=\"1183\"><strong data-start=\"1104\" data-end=\"1112\">Lab:<\/strong> Build and visualize a multi-agent task graph with parallel workflows<\/li><\/ul><h2><span style=\"font-size: 3rem; font-style: inherit;\">\u00a0<\/span><\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-a8709b1\" data-id=\"a8709b1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0e64f90 elementor-widget elementor-widget-text-editor\" data-id=\"0e64f90\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>Session 13: Capstone Project<\/h2>\n<ul data-start=\"1158\" data-end=\"1392\">\n<li data-start=\"1158\" data-end=\"1345\">\n<p data-start=\"1160\" data-end=\"1213\">Work on final project of choice with mentor guidance:<\/p>\n<ul data-start=\"1216\" data-end=\"1345\">\n<li data-start=\"1216\" data-end=\"1249\">\n<p data-start=\"1218\" data-end=\"1249\">GPT Assistant using LangChain<\/p>\n<\/li>\n<li data-start=\"1252\" data-end=\"1297\">\n<p data-start=\"1254\" data-end=\"1297\">RAG app over proprietary\/internal content<\/p>\n<\/li>\n<li data-start=\"1300\" data-end=\"1345\">\n<p data-start=\"1302\" data-end=\"1345\">Predictive ML model with a user interface<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"1346\" data-end=\"1392\">\n<p data-start=\"1348\" data-end=\"1392\">Project planning, design, and implementation<\/p>\n<\/li>\n<\/ul>\n<h2 data-section-id=\"gxb7jy\" data-start=\"1399\" data-end=\"1458\"><strong data-start=\"1403\" data-end=\"1458\">Session 14: Capstone Presentation + Career Guidance<\/strong><\/h2>\n<ul data-start=\"1459\" data-end=\"1714\">\n<li data-start=\"1459\" data-end=\"1508\">\n<p data-start=\"1461\" data-end=\"1508\">Final project presentations and peer feedback<\/p>\n<\/li>\n<li data-start=\"1509\" data-end=\"1551\">\n<p data-start=\"1511\" data-end=\"1551\">Code reviews and deployment validation<\/p>\n<\/li>\n<li data-start=\"1552\" data-end=\"1607\">\n<p data-start=\"1554\" data-end=\"1607\">GitHub portfolio optimization and presentation tips<\/p>\n<\/li>\n<li data-start=\"1608\" data-end=\"1663\">\n<p data-start=\"1610\" data-end=\"1663\">Resume enhancements and positioning for AI\/ML roles<\/p>\n<\/li>\n<li data-start=\"1664\" data-end=\"1714\">\n<p data-start=\"1666\" data-end=\"1714\">Career paths and next steps in the AI\/ML journey<\/p>\n<\/li>\n<\/ul>\n<h3>Additional Topics<\/h3>\n<p data-start=\"246\" data-end=\"301\"><strong>GitHub Portfolio &amp; Open-Source Contributions<\/strong><\/p>\n<ul data-start=\"302\" data-end=\"510\">\n<li data-start=\"302\" data-end=\"358\">How to&nbsp;<strong data-start=\"311\" data-end=\"340\">set up a GitHub portfolio<\/strong>&nbsp;for ML projects<\/li>\n<li data-start=\"359\" data-end=\"413\">Writing&nbsp;<strong data-start=\"369\" data-end=\"385\">README files<\/strong>&nbsp;and project documentation<\/li>\n<li data-start=\"414\" data-end=\"461\">Contributing to&nbsp;<strong data-start=\"432\" data-end=\"459\">open-source ML projects<\/strong><\/li>\n<li data-start=\"462\" data-end=\"510\">Using&nbsp;<strong data-start=\"470\" data-end=\"508\">Git and GitHub for version control<\/strong><\/li>\n<\/ul>\n<div>\n<p data-start=\"246\" data-end=\"301\" style=\"font-size: 15px; font-style: normal; font-weight: 400;\"><span style=\"font-weight: 700;\">Creating AI Applications using Fast API Backend and React Frontend<\/span><\/p>\n<ul data-start=\"302\" data-end=\"510\" style=\"font-size: 15px; font-style: normal; font-weight: 400;\">\n<li data-start=\"302\" data-end=\"358\" style=\"font-size: 15px;\"><span style=\"font-style: inherit; font-weight: inherit;\">Creating a backend (FastAPI) and frontend(React) app<\/span><\/li>\n<li data-start=\"302\" data-end=\"358\" style=\"font-size: 15px;\"><span style=\"font-style: inherit; font-weight: inherit;\">Connecting the Conversational UI with the back end services<\/span><\/li>\n<li data-start=\"302\" data-end=\"358\" style=\"font-size: 15px;\">Running it locally in a Docker container<\/li>\n<\/ul>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4q3h5cw elementor-section-content-top elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4q3h5cw\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-5409532\" data-id=\"5409532\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-88ac1e8 elementor-widget elementor-widget-heading\" data-id=\"88ac1e8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ready to upskill and lead in the era of AI?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-5dedcf0\" data-id=\"5dedcf0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-97f0868 elementor-widget elementor-widget-text-editor\" data-id=\"97f0868\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Get hands-on with AI through expert-led, project-based training. Enroll today to transform your skills and accelerate your career in Artificial Intelligence!<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d2ba863\" data-id=\"d2ba863\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-11366ca elementor-align-left elementor-widget elementor-widget-button\" data-id=\"11366ca\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/sansatechnology.net\/wordpress\/product\/generative-ai-and-agentic-ai-programming-training\/\">\n\t\t\t\t\t\t<span 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