All Courses
Customer & ...
This practice project is all about learning by doing. Through a series of immersive, hands-on lab activities, you’ll build and deploy an intelligent assistant bot that runs on AWS’s modern serverless infrastructure.
You’ll experiment with Retrieval-Augmented Generation (RAG) and Natural Language to SQL (NL-to-SQL) pipelines, gaining insight into how to blend unstructured knowledge retrieval and structured data querying within a single, user-friendly application. As you progress, you’ll configure cloud resources, create embeddings, build and test Lambda functions, and tie everything together with an interactive Streamlit app.
By the end of the project, you’ll have designed and launched a fully functional AI-powered assistant that can answer questions from both documents and business data—arming you with the practical skills and confidence to implement similar solutions in real-world projects.
Loan Applicatio...
LoanEase is a user-friendly web application
designed to simplify the loan application process for both applicants and loan
officers
Java Spring Boo...
Week 1: Java Sp...
Week 2: Credit ...
Week 3: Getting...
KHUT
Sample Project
Selenium Java H...
Windows -Lab
Application mig...
Code Pipeline
AZ 040 Automati...
AZ 040 Automating Administration with PowerShell
Azure 800 Admin...
Azure 800 Administering Windows Server Hybrid Core Infrastructure
AZ 104(KH)
AZ-900(KH)
Azure Projects ...
AZ 305 Assessme...
This Course contains the assessments for az 305
Birlasoft Azure...
Birlasoft Azure...
Provision a Cos...
You will provision a Cosmos DB with Terraform
LLM-Pentest
ASLS
Guided Project ...
Cloud Applicat...
DevOps Mastercl...
GCP SRE_3
Dot Net
AWS Machine Lea...
ML
CV with AWS Sag...
Blockchain Expe...
Blockchain Inte...
Blockchain Begi...
Open AI -API Ke...
Ubuntu Desktop ...
Cybersecurity p...
LTIM MySQL lab
Apache Hadoop S...
AppStream Demo
AWS account lab...
AWS Bedrock
AWS-Lambda-Prog...
AWS Security Ma...
AWS Subscriptio...
Azure 800 Lab
Azure 104_1
This course contains all azure 104 projects and assessments
Azure Lab - Dat...
Azure Subscript...
Azure With Open...
Build an applic...
Centos Desktop
Cyber Security ...
Data Science La...
Deepseek
Demo lab for ML...
Demo Ubuntu lab
Describe Azure ...
Azure Fundamentals | Azure Administrator | Azure Solution Architect | Azure Security Engineer
Developer Box w...
Developer Box w...
AWS DevOps Sand...
DevOps Mastercl...
Enhancing Fine-...
FinTech Project...
GCP - Cloud Dig...
Generating Adva...
Getting Started...
Getting Started...
Golang with Pos...
GVim Windows
HCL - Demo
IICT 5g lab
Informatica Pow...
Integrated busi...
Integrated Proj...
Employee Manage...
Microsoft 365 L...
Microsoft Azure...
MSSQL Developer...
Natural Languag...
NET Core Develo...
NTT-Global
Nvidea Omnivers...
OpenShift Lab -...
OS Lab - Centri...
Prompt Engineer...
PySpark Playgro...
rgt
Scaler Lab
Tata Neu - Apac...
Tata Neu - Desk...
Tata Neu - Wind...
Test - LTI Acti...
Ubuntu 18.04 La...
Ubuntu VM
Ubuntu Server
Visa (India) - ...
Visa (US) - Jav...
VS Code - Dotne...
The Dotnet Lab opens VS Code in a browser. This lab comes equipped with Dotnet on Linux with necessary plugins for VS Code. Additional plugins can also be installed as needed for specific project requirements.
VS Code - Java ...
The Java Spring Boot lab opens VS Code in a browser. This lab comes equipped with Java, Spring Boot, Maven and MySQL installed, while also providing necessary plugins for VS Code. Additional plugins can also be installed as needed for specific project requirements.
VS Code - Web I...
Web App on ubun...
Windows lab
Windows VM
Windows Server ...
AWS lab-Solutio...
ASL
AWS - Playgroun...
AWS Solutions A...
AWS Account lab...
AWS Certified D...
AWS Lab - Open ...
Playgrounds &am...
Hands-on AWS Cl...
OpenShift Lab
Preconfigured I...
AWS DevOps Lab
AWS Certified DevOps Engineer
AWS Fundamental...
AWS Solution Ar...
AWS Solution Architect Associate Certification
Azure Account L...
Build a Credit ...
Loan Default Pr...
Loan Default Prediction Project that employs sophisticated machine learning models, such as XGBoost and Random Forest and delves deep into the realm of Explainable AI, ensuring every prediction is transparent and understandable.
Apache Hadoop -...
Big Data Cluste...
Cloudera Hadoop
Hadoop Bigdata ...
Hadoop Big Data Cluster is 7 Node Cloudera CDH setup with around 50 vCPUs and 250 GB Memory
kafka
Visa - BigData ...
Block Chain Lab
Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. A blockchain is essentially a digital ledger of transactions that is duplicated and distributed across the entire network of computer systems on the blockchain.
Cyber Security ...
Cyber security ...
Data Science Bo...
Data Science, A...
Datascience - A...
Datascience for AI & ML lab constitutes a user created on Jupyter cluster
DataScience - P...
Data Visualisat...
AWS Terraform I...
CICD for Applic...
DevOps 2VM Lab
DevOps Lab
DevOps Master a...
DevOps Mastercl...
GCP SRE_1
GCP SRE_2
Dot Net, Angula...
Dot Net, Angular, Node JS Full Stack Software Development Playground Lab.
Java FSD Lab
This is Java Full Stack Development lab with the following applications and tools installed
- MYSQL
- Chrome
- Java 11 Zulu
- Maven
- Jenkins
- Postman
- Git
- Gitlab CE
- Vscode
- EclipseIde2019
Web Application...
GCP S3 to Bigqu...
3 Node Kubernet...
Kubernetes Mult...
Linear Regressi...
Jupyter Noteboo...
ML GPU lab
Network Service...
SpringBoot (Ang...
VS Code Web IDE
Visual Studio Code is a source-code editor by Microsoft
AWS Sagemaker L...
ubuntu lab
Kikun Digital
AWS Cloud Engin...
AWS DA
AZ-104 Mileston...
AZ-900 Mileston...
AZ 104 Skill Bu...
Azure Cloud Eng...
Azure Cloud Engineer Guided Labs
AZ 204 Skill Bu...
AZ_Migration
AZ Operations
Amazon Q
C++ Jr.Develope...
PythonDataAnaly...
AZ 400 Skill Bu...
AZ 305 Skill Bu...
GCP Cloud Engin...
GCP Compute Eng...
GCP-Playground-...
GenAIApplicatio...
GenAI-AWS-Bedro...
GenAIWorkshop
Google Cloud Fu...
Hands-on Azure ...
Hands-on GCP Cl...
Introduction to...
Linux Assessmen...
MERN FSSD SB
AZ 500 Skill Bu...
SC 900 Skill Bu...
MultimodalRAG
PromptForWriter...
Elevating Content Creation: Best Practices for Prompt Engineering in Content Development
PromptForDevelo...
From Code to Prompts: Elevating Developer Productivity with AI
Python Coding
Python Skill Bu...
AWS Cloud Pract...
AWS-Account-Lab
Architecting on...
AWS CD
AWS Cloud Devel...
AWS Cloud Devel...
Cloud Developer
GP & AP
AWS Playground ...
Bedrock- Worksh...
Troubleshooting...
Python Develope...
Azure-Account-L...
Azure Cloud Eng...
AZ 900 Skill Bu...
Loan Data Analy...
Data Analysis S...
PythonDAGP
Asynchronous Co...
Automating the ...
Container Orche...
Data Processing...
Databases in GC...
Event-Driven Ar...
GCP Associate Cloud Engineer | GCP Professional Cloud Developer
Google Cloud Fu...
Google Compute ...
Networking in G...
Operations in G...
Serverless Comp...
Storage in Goog...
Intelligent Cus...
URL Summarizer ...
Agentic RAG Sys...
Retrieval-Augmented Generation (RAG) is a powerful approach that enhances the reasoning capabilities of language models by combining them with an external knowledge retriever. In the provided DevOps agent implementation, RAG is used to allow the system to answer complex DevOps-related questions using both internal documents and external knowledge sources. Specifically, internal PDF files containing DevOps policies are first parsed, chunked, and embedded using OpenAI embeddings. These are then indexed in a FAISS vector store, which acts as the retriever. When a user submits a query, the retriever fetches the most relevant document chunks, which are then passed to the GPT-3.5 model for final answer generation—this is the "retrieval + generation" mechanism in action. The agent also intelligently decides when to use additional tools like DuckDuckGo, Wikipedia, or Arxiv if the internal documentation is insufficient, making the entire setup a robust example of agentic RAG, where retrieval is dynamically integrated into an agent that can reason about which tools or sources to leverage for the best response.
Build an applic...
AIWithAgents
GenAI-Assessmen...
GenAIAssessment...
Guided Projects...
genai-crewai
RAG_Application
Generating Adva...
Unlocking AI's Diverse Potential: A Suite of Apps, Each Leveraging the Strengths of ChatGPT, LLaMA, Anthropic, CoPilot, and Code Whisperer.
Synthetic Data ...
Unlocking AI's Diverse Potential: A Suite of Apps, Each Leveraging the Strengths of ChatGPT, LLaMA, Anthropic, CoPilot, and Code Whisperer.
Natural Languag...
Prompt Engineer...
promptWithGenAI
Prompt Labs
Java Assessment
JAVA FSSD SB
Automating SRE ...
Configuring Zer...
PHP
Windows Project...
Thriving Spring...
Anaconda Jupyte...
The installed tools are as follows:
- Anaconda 2023
- Python 3.11.4
- Jupyter Notebook 3.6.3
- PySpark 3.4.1
Angular - Front...
Application Sec...
AWS Developer A...
AWS lab Scaler
AWS SYS OPS
AWS VPC and IAM
Azure 801 Lab
Azure Administr...
Azure Administrator Assessments
Azure computer ...
Azure computer Vision
Azure Devops
Azure Misconfig...
Azure Misconfigured Assessment Projects
Azure Test
Basic Cloud Ass...
Comptia Network...
Container Platf...
S3 to Bigquery
EMR to Dataproc
DevOps Assessme...
Devops Jenkins ...
Devops
devops
Docker Desktop ...
Role in Enhanci...
Engaging students in real-world cybersecurity challenges,
enhancing their problem-solving and decision-making skills
GCP Cloud Devel...
GCP Cloud Devel...
GCP_Migration_P...
GCP-Migration-P...
GCP-Skills-Asse...
DemandForecasti...
Group Project -...
GP - Lift &...
IP - Containeri...
IP - Lift &...
Migrate a web app workload preconfigured in a VM setup running on AWS to GCP using Lift & Shift technique.
Infra and Netwo...
Java Full Stack...
Java Spring Boo...
Linux assessmen...
Nested-VM-Playg...
Tools
- Chrome
- LibreOffice 7.3
- Gedit
- VirtualBox 6.1.32
Paloalto Assess...
Prompt for Imag...
Python For Mach...
PlayTime Plann...
Security Intell...
vmlab
Food recipes
Trial Todo Asse...
Import CSV Port...
Angular Assessm...
Fashion Store P...
Form validation...
ASP.Net MVC App...
ASP.NET Web API
AWS - Cloud Pra...
AWS Basic Asses...
Having different AWS assessments. Give it a try!!
AWS Assessments...
AWS CP Assignme...
AWS Cloud Asses...
AWS Cloud Playg...
Practitioner
Cloud Practitio...
Developer Assoc...
DevOps Assessme...
AWS Lambda Prog...
AWS Skill Bundl...
AWS SA Assessme...
SAA
DevOps Training
GenAI with AWS ...
AWS SAA
AWS SysOps
AWS App Track
AWS App Migrati...
Demo Learning P...
Demo Learning P...
Demo Learning P...
Demo Learning P...
Demo Project - ...
WAF
Update Security...
App Migration
AWS Data Track
Collecting_and_...
AWS Data Migrat...
Experential Lea...
Introduction to...
Lift and Shift ...
Trainocata_Migr...
Azure Administr...
AZ 104 Assessme...
Azure Basic Ass...
Having different Azure Assessments. Go on and try it out!!
Azure Assessmen...
Azure databrick...
Azure_demo
Fundamentals
Azure Fundament...
AZ 900 Assessme...
Solution Archit...
AZ 305 Assessme...
Virtual Machine...
Blockchain Asse...
AWS Hands-on Jo...
Azure Hands-On ...
In this course you will find hands-on lab for azure certification, includes AZ-900, AZ-104 and AZ-305
FS
CyberSec-Demo
Cyber Security ...
Cyber Security Administrator
CyberSec
Ethical Hacking
Ethical Hacking...
Python Data Ana...
Classification ...
DataScience
This comprehensive program covers a range of topics in Data Science and Generative AI. It begins with Core Python Programming Subjective and MCQ Assessments, ensuring a solid foundation in Python, the primary language for data science. Next, learners take a Data Science Fundamentals MCQ Preassessment to gauge their understanding of essential data science concepts and techniques.
Guided Project activities follow, focusing on Data Preprocessing and Exploratory Data Analysis (EDA) to develop skills in handling and analyzing data. Learners then transition to Guided Project activities for Machine Learning, where they learn to build and evaluate predictive models using popular frameworks like Scikit-Learn and TensorFlow.
The program further advances with Guided Project activities centered on Generative AI, where learners explore techniques like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to create models that generate new data. Subjective assessments on Machine Learning and Generative AI evaluate the learners' knowledge after completing the guided projects.
DL-ANN
EDA
Heart Disease E...
Machine Learning using KNN, Random Forest and Decision Tree Algorithm
ML with Scikit-...
ML using Python with Scikit-learn and MNIST dataset
Regression Mode...
Stroke Predicti...
Machine Learning using Decision Tree Algorithm
Student Grade P...
Machine Learning using Linear Regression Model Algorithm
Capstone Projec...
Databricks Tige...
Databricks Tiger Analytics Assessment
Azure Databrick...
Week-6
Week-1
Week-2
Week-3
Week-4
Week-5
Assessment - Do...
DevOps - Docker
DevOps Assessme...
DevOps Multi No...
Git and Linux
Java Spring Boo...
Available Software
MYSQL, Chrome, Java 11 Zulu, Maven, Jenkins, Postman, Git, Gitlab CE, VS Code, EclipseIde2019, Docker & Docker-compose.Spring Boot Mic...
Linux Assessmen...
WebApplication
Console Applica...
DotNet Applicat...
DotNet Application Assessments for Zensar
Imocha Dotnet C...
Imocha Dotnet Console Assessments
Windows Forms
GCP Assessments
GCP Assessments...
GCP CD
GCP CE
GCP DE
MediCare AI Ass...
GenAI Assessmen...
Prompt_Engineer...
java
Finance Tracker...
Core Java Learn...
Multiple assessments in programming with Core Java.
Full Stack Deve...
This comprehensive project covers a range of topics in Java Spring Boot React JS FSD. It begins with Core Java Subjective and MCQ Assessments, ensuring a solid foundation in Java programming. Next, learners take a Spring Boot Framework MCQ Preassessment to gauge their understanding of Spring Boot. Guided Project activities follow, focusing on Java Spring Boot JPA for developing robust backend APIs.
Learners then transition to Guided Project activities for React JS frontend development, learning to create responsive interfaces that consume the backend APIs. React Frontend & Java Spring Boot backend subjective assessments evaluate the learners' knowledge after completing the guided projects.
The course culminates in a Capstone project, where learners showcase their skills in both backend and frontend development. This final project includes Backend and Frontend development subjective assessments, providing a comprehensive evaluation of the student's FinTech development capabilities
Java 17
Java
Trials
Java Beginner A...
Java FSD
Java MCQ Assess...
Java Multiple A...
Java MySQL Asse...
Java React FSD ...
Java Spring Boo...
Java VS Code BI...
Java, Spring Bo...
Java, Spring Bo...
This assessment is to measure the programming skills on Java, MySQL and Spring Boot framework involving JPA and other tools. The candidate will have to build different set of REST APIs using Java Spring Boot framework according to the API contract given under each REST API service.
Movie Ticket Bo...
NareshIT Spring...
Spring Core Tas...
Angular: Shoppi...
Front End Asses...
React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.
With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.
Frontend Beginn...
Loan Calculator...
React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.
With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.
MERN ShoeStop F...
Food Recipes Ap...
React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.
With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.
Todo Tasks Tria...
React & Nod...
React & Nod...
Frontend Advanc...
Food Recipes Po...
React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.
With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.
Mobile Android ...
Node
Python Collecti...
Python
Python Programm...
App Track
AWS Application...
Data Track
Database Migrat...
AWS Networking ...
DataEngineer
S3 to RDS Migra...
IAM Workshop
Storage Worksho...
Knowledge Check...
Salesforce Asse...
Leave Managemen...
Selenium automation assessment lab.
Selenium Assess...
Selenium automation assessment lab.
SnowflakeLab
Snowflake level...
LINQ AP
MS SQL Assessme...
The MS SQL Assessment is to check your skill in writing MS SQL queries for different use cases or problem statements. The problem statements are given in a web portal in the lab, having MS SQL Database. You can execute the queries that you write on MS Server Management Studio available in the lab, check the results and paste the query in the web portal under respective questions. Submit the assessment once you write all answers. The auto evaluation will be completed in a minute following which you can see the results.
On completing answering all questions, the candidate can submit the assessment. Once submitted, the evaluation process starts, and the candidate can see the evaluation in-progress in the assessment page. Once the evaluation has completed, if any failures, the candidate can click on Continue Attempt, then can go back to the lab, and edit the answers submitted earlier and submit the assessment again – provided, reattempt is allowed and there is enough time remaining.
MS SQL Assessme...
The MS SQL Assessment will check your proficiency in writing MS SQL queries. The questions are statements are given in a web portal in the lab, having MS SQL Database. The lab has MS Server Management Studio, in which you can write the queries, execute it, check the results and paste the query in the web portal under respective question.
Submit the assessment once you write all answers to the questions asked in the portal. Once submitted, the auto evaluation starts and it will be completed in two minutes following which you can see the evaluation results.
MS SQL Trial
The MS SQL Assessment is to check your skill in writing MS SQL queries for different use cases or problem statements. The problem statements are given in a web portal in the lab, having MS SQL Database. You can execute the queries that you write on MS Server Management Studio available in the lab, check the results and paste the query in the web portal under respective questions. Submit the assessment once you write all answers. The auto evaluation will be completed in a minute following which you can see the results.
On completing answering all questions, the candidate can submit the assessment. Once submitted, the evaluation process starts, and the candidate can see the evaluation in-progress in the assessment page. Once the evaluation has completed, if any failures, the candidate can click on Continue Attempt, then can go back to the lab, and edit the answers submitted earlier and submit the assessment again – provided, reattempt is allowed and there is enough time remaining.
MS SQL Odessa
Ms SQL Zensar W...
MySQL
Custom MCP Serv...
GenAI Workshop ...
GenAI Workshop ...
Agentic-AI-Arch...
Agentic AI Arch...
Core Tech Bootc...
Workflow automa...
n8n on Windows ...
Machine learnin...
Clustering mode...
Time Series Ana...
Classification ...
Linear Regressi...
BFSI
WISE_FinTech_St...
WISE_PMBOK_Risk
WISE_PMBOK_Sche...
This course teaches you how to build an automated Critical Path Method (CPM) schedule analysis workflow in n8n. By uploading a Microsoft Project XML file, the workflow extracts task data, performs CPM calculations, identifies the critical path, and generates a complete HTML status report that appears directly in the form output. Project managers can instantly understand schedule health, risks, and task dependencies without manual analysis.
WISEHealthcareR...
To understand and implement Retrieval-Augmented Generation (RAG) as a key architectural pattern for LLMs to deliver evidence-based, trustworthy Q&A from vast medical literature.
Use Case
Building and querying an AI system that leverages a
proprietary medical knowledge base to provide referenced and highly accurate
answers to clinical and research inquiries.
Core Challenges
Information Overload: Healthcare SMEs struggle to manually review thousands of new papers to stay current.
Slow Decision Support: Traditional search methods are slow and do not provide concise, synthesized answers with source evidence.
Hallucination Risk: Typical / standard LLMs could respond with inaccurate or fabricated information.
Tools & Activities:
The course explores
- How to setup a RAG architecture to explore a medical paper and ground the respond within the information available in a given input (pdf research paper)
- Prompt engineering.
- Interacting with an LLM through the chat interface
- Pinecone vector database configuration, chunking and storage, search and retrieval
- n8n workflow automation
Outcome
Participants will gain the skills to deploy a trustworthy, evidence-based AI system that ensures high factual accuracy and provides instant, referenced answers to complex clinical or research questions.
WISEHealthcareA...
Objective
Scenario
Tools & Activities:
Outcome
WISE_HR_RAG
Who Should Attend
HR Specialist, Global HR Team
Use Case
An AI system uses (Retrieval-Augmented Generation) RAG to search a database of HR policies and generate a concise answer while simultaneously providing the source location (page/section/document name) of the policy.Core Challenges
| Complexity & Volume: Policies are often fragmented, cross-referenced, and contained in massive, diverse document types (PDFs, Word docs). |
| Accuracy/Trust: Answers must be 100% accurate and verifiable, as misinterpretation of HR policy can lead to compliance issues. |
| Scalability: HR teams can't scale to handle a global volume of policy-related inquiries manually. |
Tools & Activities:
The course explores
- How to setup a RAG architecture to explore an HR Policy document and ground the respond within the information available in a given input (HR Policy document)
- Document Ingestion and Chunking Strategy, Vector Database Setup and Indexing, Implementing the RAG Workflow
- Prompt Engineering.
- Interacting with an LLM through the chat interface
- Pinecone vector database configuration, chunking and storage, search and retrieval
- n8n workflow automation
- Building a Chat interface
Outcome
Participants will gain the skills to deploy a Trustworthy, Authoritative HR Policy Chatbot, leading to significantly reduced HR workload, instant 24/7 availability, and improved compliance through standardized policy interpretation.WISE_HR_PromptE...
WISE_ResumeFilt...
WISE_JDReview
WISE_HowTo_n8n4...
This course is a fast-paced, Practice Project designed specifically for non-technical functional leaders who need to drive efficiency and introduce intelligent automation into your operations.
The core goal is to empower participants to build AI Agents within the n8n low-code platform. You will learn to transform raw, unstructured data (e.g. datasets, reports, narratives, and emails) into structured, actionable intelligence using advanced AI and routing logic.
The learning is centered around the implementation of a Capstone Workflow that is provided fully configured in your lab environment. Across the modules, you will systematically explore the architecture of this working AI Agent, and understand its logic.
Outcome from this Course
Upon completing this hands-on course, participants will be able to:
Build and Deploy Intelligent Workflows: Confidently design and implement functional, low-code automation workflows using n8n, integrating logic, data sources, and external APIs.
Master Prompt Engineering for Business: Craft precise System and User Prompts that force AI models to deliver structured, high-value outputs suitable for strategic decision-making.
Overcome the Coding Barrier (Vibe Coding): Utilize conversational AI tools to generate custom JavaScript for the Code Node, demonstrating that even custom scripting is accessible through low-code means.
Integrate External Systems: Understand how to utilize AI Models within the workflow using secure API credentials.
Drive Efficiency and Strategic Decisions: Immediately apply the Capstone workflow structure to map out and accelerate high-friction processes within their own functional area (examples: Data Analysis, auto-triage support tickets, classify documents, or draft initial reports).
WISEHowtoSlack
Slack is used for workplace communication and collaboration, functioning as an "operating system for work" by centralizing conversations, data, and tools into one platform. It is used to connect teams through channels, direct messages, and calls, and to increase efficiency through app integrations and automation.
In this tutorial, we will learn the following
- Understand core concepts
- Sign Up and Log In to Slack
- Generate the Signature Secret Key
- Generate the Bot User OAuth Token
- Create Slack credentials in n8n
WISEHowtoPineco...
Pinecone is a managed vector database that enables efficient storage and retrieval of embeddings. It is commonly used in AI and automation workflows to handle vector-based data operations.
In this tutorial, we will learn the following
- Pinecone settings
- Sign Up and Log In to Pinecone
- Generate the API Key
- Connecting Pinecone with n8n
- Create a new Index (vector Database) in Pinecone
- Using Pinecone in n8n
WISE_HowTo_GCC
Step by step guide on how to enable Google Cloud Console APIs, that will allow us to use Gmail, Google Drive, Sheets etc in an n8n workflow.
WISE_HowTo_PDF
Generating PDF Output in n8n Workflows using PDFShift
In numerous n8n workflows, there is a requirement to generate a PDF file as a final output. This is essential for documents such as reports, executive summaries, or invoices created within the workflow automation.
To facilitate this capability, we can leverage a third-party service like PDFShift.
This course is designed to provide comprehensive, step-by-step guidance on integrating PDFShift with n8n.
Course Outline:
Creating a PDFShift Account
Generating a PDFShift API Key
Configuring the PDFShift API Key within n8n
Utilizing PDFShift in an n8n workflow to successfully generate PDF output.
How To: Configu...
To successfully set up a News API account, generate a secure API key, and correctly configure the n8n HTTP Request node to dynamically fetch structured, real-time news data based on specified parameters (keywords, date range).