Bluechip Tech Limited , UK

Bluechip Tech Limited , UK Your trusted technology partner

Bluechip Technology France is joining RAISE Summit 2025 at the iconic Carrousel du Louvre in Paris this July 8–9!As Euro...
04/07/2025

Bluechip Technology France is joining RAISE Summit 2025 at the iconic Carrousel du Louvre in Paris this July 8–9!

As Europe’s flagship AI event, RAISE Summit will bring together 5,000+ global leaders, 250+ visionary speakers, 1,500+ companies, and a broad spectrum of C‑suite executives, founders, VCs, policymakers, and AI.

💡 Let’s meet in Paris to shape the future of AI together.

👉 bluechiptech.fr | raisesummit.com

Mastering MQTT: Hands-On Learning and Deep UnderstandingWhat you'll learnHow to make Real time web Application using MQT...
14/02/2024

Mastering MQTT: Hands-On Learning and Deep Understanding
What you'll learn
How to make Real time web Application using MQTT
Chat Application Using MQTT
Secure mosquitto or MQTT broker with Username and Password
How to control raspberry pi GPIO from web page
How to control LED light from remote place using Web Application with ESP 8266 or Node MCU
What is MQTT Protocol
What do you mean by message queue telemetry transport (MQTT)
ESP 8266 or NodeMCU as MQTT publisher and Subscriber
Practical example of message queue telemetry transport (MQTT)
Python as as MQTT publisher and Subscriber
Java as MQTT publisher and Subscriber
JavaScript as MQTT publisher and Subscriber
MQTT publisher and Subscriber using C client on Raspberry pi
How to use windows command prompt as MQTT publisher and Subscriber
How to install MQTT broker on windows, Modify MQTT Port
How to install MQTT broker on raspberry pi or linux , Modify MQTT Port
How to install MQTT broker on Google Cloud , Modify MQTT Port
MQTT Packet Structure
How MQTT communication happens
MQTT related terms meaning
How to use raspberry pi or linux terminal as MQTT publisher and Subscriber
How to use Google cloud SSH terminal as MQTT publisher and Subscriber
MQTT WebSockets on Windows, Raspberry pi or linux or Google cloud
How to send data from one place to another place using MQTT
How to debug MQTT Errors

Requirements
No pre-requisites are required
One Raspberry pi, one register, two wires and one LED required if you want to implement MQTT on Raspberry pi
One ESP8266 or NodeMCU, LED and two wires required if you want to implement MQTT on ESP8266 or NodeMCU
Description
Gain expertise in developing real-time web applications using MQTT Websockets with our comprehensive course. In this hands-on program, you'll learn how to harness the power of MQTT to create dynamic, responsive web applications that enable remote control of Raspberry Pi GPIO, ESP8266, or nodeMCU devices.

The course covers a wide array of topics, including setting up MQTT brokers on diverse platforms such as Google Cloud, Windows systems, Raspberry Pi, and Linux systems. You'll delve into the intricacies of implementing MQTT clients, both as publishers and subscribers, using a variety of tools and languages like ESP8266, Python, Java, JavaScript, Windows command prompt, Raspberry Pi terminal, Linux terminal, and Google Cloud SSH terminal.

One of the course's key highlights is learning how to send data between different locations via both wired and wireless communication channels. Whether you're working with IoT devices, smart home systems, or remote monitoring applications, you'll master the art of seamless data transmission. Additionally, you'll discover how to send data simultaneously to multiple users or systems, a crucial skill for building robust, scalable IoT solutions.

By the end of this course, you'll have the knowledge and practical experience needed to design and implement real-time web applications that utilize MQTT Websockets, making you well-equipped to tackle various IoT and remote control projects. Join us in this exciting journey to unlock the potential of MQTT for web applications and IoT solutions.

Who this course is for:
Anyone who wants to become master in MQTT.
Anyone who wants to know how to make real time web application.
Anyone who wants to know how to control Raspberry pi GPIO from web application.
Anyone who wants to know how to send data from one place to another over the wired or wireless communication from one place to another place.
Beginner
Intermediate

Contact us
email - [email protected]

Primal Learning - Join the Top 1% Fastest LearnersWhat you'll learnOptimize your brain chemistry for increased productiv...
14/02/2024

Primal Learning - Join the Top 1% Fastest Learners

What you'll learn
Optimize your brain chemistry for increased productivity and learning
Enter the peak performance state "flow" consistently
Approach any type of learning with the most efficient and appropriate strategy
Implement the most efficient, and scientifically proven, learning techniques
Optimize aspects of lifestyle such as sleep and nutrition to enhance learning speed and focus
Double your reading speed

Requirements
Have an open mind. A specific goal is also advisable.
Description
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Do you want to increase your productivity?

Do you want to become one of the best in your field or subject?

How would you feel if you knew you could master anything?

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Reviews:

Divine knowledge

This is a course that cannot be missed. You will obtain great knowledge and powerful insights from these instructors. They are scholars, you can also become one.

-by Veera Venkata Durga Prasad Chimmili

Great Course

Well structured, useful device to learn learning. The quality is a high level instruction. Thank you for this great course.

-by Ingrid Strubel

Great investment.

This Course has without doubt has given me new insight and strategies on maximizing my productivity. Mathias and Vegard are engaging instructors and do a great job at explaining.

-by Cristian Suarez

Excellent Course!

Course was presented very well, more than I expected, and course greatly increased my productivity and efficiency. Many thanks!

-by Teguh Perbawa

Outstanding Course

I'm about half way through the course and I can already say this course is amazing! Short and to the point videos. An abundance of facts and insights. This course has truly helped me enter the flow state and become more efficient. Thank you for creating such an informative course!

-by David Alvarez

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About:

This course is about approaching your learning processes in the most efficient way. You will learn about what science determines to be the most efficient study techniques and the optimal strategies for your learning.

A big part of the course is the optimal state of learning and performance called flow. This is where time stands still, your become immensely productive and learn much faster. Your brain is flooded with feel-good neurotransmitters, which makes it very enjoyable.

This course also covers many lifestyle-tweaks which will set up your brain for maximized learning.

Lastly you will learn how to double your reading speed so that you can take in information even faster.

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Who is this course for:

This course if for you if you are motivated to learn faster and be more productive. It's perfect for you if you are a go-getter or a high achiever. It's perfect if you want to get more done in less time. And lastly, it's perfect if you seek to achieve deep mastery in any field.

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After this course you will:

Understand on a fundamental level how learning happens and how to maximize your learning speed and productivity.
Enter the flow state consistently and stay there
Approach your learning confidently with the scientifically proven best techniques
Tailor your learning processes with optimal strategies
Make lifestyle-tweaks to maximize your brain's potential
Double your reading speed!
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Before you start:

Keep in mind there is a 30 day money back guarantee, no questions asked.
You gain life time access to this course.
We will regularly add bonus lectures which you will get for free.
You will get instant access to ALL future updates.

Enroll in this course now and join the 1% fastest learners.

Become a learning machine.

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Updates:

3. January 2016 - Lectures 7-12 improved slides and images
6. January 2016 - Introduction lectures improved and replaced
9. January 2016 - Added Outro lecture
12. January 2016 - Added slide download lecture
28. January 2018 - Updated nutrition lecture

Who this course is for:
This course is perfect if you strive to improve and learn at the fastest rate possible.
This course if perfect if you want to increase your productivity get more done.
This course is best suited for go-getters and high achievers.

Contact us
email - [email protected]

Probability and Statistics for Business and Data ScienceWhat you'll learnUnderstand the basics of probabilityBe able to ...
14/02/2024

Probability and Statistics for Business and Data Science

What you'll learn
Understand the basics of probability
Be able to implement basic statistics
Understand how to use various statistical distributions
Apply statistical methods and hypothesis testing to business problems
Understand how regression models work
Implement one way and two way ANOVA
Understand Chi Squared Tests
Be able to understand different types of data

Requirements
Paper and Pencil to take notes
Optional: Excel or Python to run simulations
Description
Welcome to Probability and Statistics for Business and Data Science!

In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!

This practical course will go over theory and implementation of statistics to real world problems. Each section has example problems, in course quizzes, and assessment tests.

We’ll start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other.

Afterwards we’ll dive into probability , learning about combinations and permutations, as well as conditional probability and how to apply bayes theorem.

Then we’ll move on to discussing the most common distributions found in statistics, creating a solid foundation of understanding how to work with uniform, binomial, poisson, and normal distributions.

Up next we’ll talk about statistics, applying what we’ve learned so far to real world business cases, including hypothesis testing and the student's T distribution.

We’ll end the course with 3 sections on advanced topics, such as ANOVA (analysis of variance), understanding regression analysis, and finally performing chi squared analysis.

The sections are modular and organized by topic, so you can reference what you need and jump right in!

Our course includes HD Video with clear explanations and high quality animations, we also include extensive case studies to show you how to apply this knowledge to the real world.

We'll cover everything you need to know about statistics and probability to clearly tackle real world business and data science problems!

Including:

Measurements of Data

Mean, Median, and Mode

Variance and Standard Deviation

Co-variance and Correlation

Permutations and Combinations

Unions and Intersections

Conditional Probability

Bayes Theorem

Binomial Distribution

Poisson Distribution

Normal Distribution

Sampling

Central Limit Theorem

Hypothesis Testing

T-Distribution Testing

Regression Analysis

ANOVA

Chi Squared

and much more!

Not only do you get great technical content, but you’ll also have access to our online QA forums as well as our student chat channel. Where the TAs and myself are happy to help out with any questions you encounter! Upon finishing this course you’ll receive a certificate of completion you can post on your linkedin profile to show off to your colleagues, or even potential employers!

All of this content comes with a 30 day money back guarantee, so you can try out the course risk free!

So what are you waiting for? Enroll today and we'll see you inside the course!

Who this course is for:
Someone interested in learning how to apply probability and statistics to business or data science

Contact us
email - [email protected]

Complete AWS Bedrock Generative AI Course + ProjectsWhat you'll learnAWS BedrockChat with your DocumentsGenerative AIBui...
12/02/2024

Complete AWS Bedrock Generative AI Course + Projects
What you'll learn
AWS Bedrock
Chat with your Documents
Generative AI
Build Serverless Machine Learning applications
Fine Tune LLMs in the cloud
Build production ready applications with Aws Serverless stack such as Bedrock, Lambda and Api Gateway and S3
Train and Evaluate LLMs with your own custom data
AWS Bedrock Pricing
Summarise your meeting notes in a matter of seconds
Serverless Architecture
API Gateway
Image Generation
Text Summarisation with NLP
Text Creation through NLP
Stability AI and diffusion models for image generation
Anthropic AI
Connect your data in S3 with AWS Bedrock
Set up Lambda Layers
Evaluate your LLMs with AWS Bedrock Evaluator
Requirements
little Python knowledge
AWS account
Computer with WIFI
willingness to learn
Description
**Course Description: AWS Bedrock Generative AI + LLMs Comprehensive Guide**

Welcome to our in-depth course on the cutting-edge world of AWS Bedrock Generative AI, encompassing LLMs (Large Language Models) and fine-tuning techniques. AWS Bedrock, the innovative platform from Amazon Web Services, provides unparalleled opportunities for AI enthusiasts, developers, and professionals to engage with Generative AI. In this course, you will explore the nuts and bolts of AWS Bedrock and learn how to harness its power for your AI projects. Create 3 separate projects in this course which include chatting with your data and asking questions about your documents, writing code with Bedrock models, and image generation with diffusion models. All these projects will be then deployed through a Serverless architecture with AWS Bedrock, API Gateway, Lambda functions, S3, Postman and many more

Structured over a series of engaging modules, you will:

1. **Delve Deep into AWS Bedrock & Generative AI**: Understand the foundations of AWS Bedrock and its role in the AI landscape. Discover the transformative potential of Generative AI, how it's shaping industries, and its underlying technologies.

2. **Mastering LLMs**: Dive into the intricacies of Large Language Models. Learn about their architecture, applications, strengths, and limitations.

3. **Fine-tuning Models**: A pivotal skill for any AI practitioner. Acquire hands-on experience in tweaking existing models to fit specific tasks or datasets, ensuring optimal performance and efficiency.

4. **Hands-on Projects**: Roll up your sleeves and immerse yourself in three separate projects. Each project is designed to reinforce your learning and provide practical experience. You'll employ a serverless stack, integrating AWS services like API Gateway and Lambda with AWS Bedrock, offering you a holistic view of the platform's capabilities.

5. **Serverless Stack Integration**: Delve into the Serverless paradigm, focusing on API Gateway, Lambda, and AWS Bedrock. Learn how to set up, manage, and scale serverless architectures seamlessly, ensuring you're well-equipped to design and deploy AI-driven applications with ease.

6. **Evaluate your LLM**: After finishing the course you will be able to evaluate the toxicity, and overall accuracy of your your Large Language Model.

By the end of this course, you will have a robust understanding of AWS Bedrock and its synergies with Generative AI and LLMs. Whether you're an aspiring AI developer, a seasoned practitioner, or a tech enthusiast, this course is tailored to equip you with the skills and knowledge to navigate the dynamic world of AI with confidence.

Join us on this enlightening journey through AWS Bedrock and discover the future of Generative AI. Let's build, fine-tune, and deploy together!

Who this course is for:
Anyone(with a little programming knowledge) who wants to learn Generative AI on AWS

Contact us
email - [email protected]

SwiftUI - The Complete iOS 17 Reference Library of CodeWhat you'll learnStudents will learn how to work with the SwiftUI...
12/02/2024

SwiftUI - The Complete iOS 17 Reference Library of Code

What you'll learn
Students will learn how to work with the SwiftUI Framework
Get hundreds of downloadable SwiftUI code snippets
Build high quality apps using the technologies taught in this course
Upload your apps to the app store

Requirements
No experience is necessary - the course teaches the Swift language from the beginning
Description
This course is built using the latest Apple release, iOS 17

Welcome to "SwiftUI - The Complete iOS 17 Reference Library of Code, the definitive guide to to learning everything SwiftUI.

This is a SwiftUI Reference Course / Cookbook / and Set of Documentation, for everything SwiftUI. There are hundreds of downloadable examples / video instruction / and projects here so you can get the code you need and add it directly into your projects / create your own SwiftUI docs, or add this to your own existing SwiftUI docs.

My name is Steve DeStefano, i am a SwiftUI developer, and working together with the brilliant programmer J.D. Gauchat, I have turned his best selling book "SwiftUI for Masterminds the iOS 17 edition" into this complete developers resource course.

And this course is different than other courses, in that we don’t just scratch the surface, or build a few simple apps… in here, I give you the SwiftUI framework, explained.

All the instruction, all the downloadable examples, and all the tools that you need to build your own insanely cool apps, without any wasted time or chatter. I am strictly on point reading from the book, typing the code, and explaining how it all works. I use labels, graphics, animations, and other callouts to help draw your attention to the flow of the code.

You get the step by step instruction for each technology in the SwiftUI framework, and see how to use the different views, initializers, methods, and modifiers that are available for each of those technologies.

Also included in the course is the code file for every lecture, so you can download it and use in your apps right away, all built with the latest release, and tested to run perfectly. This is a huge library of code, hundreds of examples highlighting the SwiftUI Framework, neatly categorized for easy look up and reference, so you have everything you need to create your own stunning apps to submit to the App Store.

No more fumbling through Apple's convoluted docs for hours trying to find the code you need, or wasting time looking on Stack Overflow, your getting all the instruction and code you need…you just need the idea for the app, and you’re ready to go.

If you’re new to Swift, no problem, there is a language section in the beginning of the course that will walk you through the Swift Language and get you up to speed, fast.

If you’re an experienced programmer, this course will be your go to resource, because it is a huge data base of instruction and downloadable code thats perfect to add to your own set SwiftUI docs…its similar to a cookbook of code but with very detailed instruction.

Here are some of the topics covered:

App Development • Swift Language (complete language) • Protocols • Frameworks • User Interface • View Protocol • Opaque Types • Text • Modifiers • Color View • Image View • Event Modifiers • Custom Modifiers • Layout • Safe Area • Priorities • Alignment Guides • Groups • Custom Views • Previews • Regex Framework • Grids • Preview Modifiers • Environment • Property Wrappers • • • • • Model • Observable • • View Model • Combine Framework • Publishers • Subscribers • Transforming values • Operators • Subjects • Controls Button View • TextField View • SecureField View • Toggle View • Slider View • Stepper View • Navigation View • NavigationLink View • TabView View • Sheets • Popovers • Alert Views • Action Sheets • Split Views • Custom Navigation • Size Classes • Orientation • GeometryReader View• Preferences • Mac Catalyst • Conditional Code • Menu • Multiple Windows Support • Lists • ForEach View • ScrollView • List View • Sections Edition Mode • Custom Buttons • Search • Picker View • DatePicker View • Forms • Shapes • Charts • Gradients • Images • Paths • Custom Shapes Transformations • Animations • Hit Testing • Transitions • Gesture • Notification Center • System Notifications • User Notifications • Provisional Notifications • User Defaults • File Manager • URLS and Paths • Files and Directories • Bundle • Archiving • Encoding and Decoding • JSON • Core Data • Core Data Model • Core Data Stack • Sort Descriptors • iCloud • Testing Devices • Key Value Storage • • UIKit Integration • Web • Safari View Controller • MapKit • Camera • Photo Library • Custom Camera • AviKit FrameWork • Custom Video Player • Collection View • Apple Developer Program • Publishing to the App Store • Certificates, Provisioning Profiles, Identifiers • App Store Connect • Swift Language .• And much more.

So come code along with JD and myself, working with an incredibly cool and insane set of design tools, and learn everything you need to know about the SwiftUI Framework, and how to implement and leverage all of its great new technologies.

This course is built using the latest Apple release, iOS 17

Who this course is for:
Beginner iOS / macOS / watchOS / tvOS developers through intermediate and advanced

Contact us
email - [email protected]

ServiceNow Virtual Agent (VA): Micro-CertificationDescriptionExam PurposePrepare for the ServiceNow Virtual Agent (VA) a...
08/02/2024

ServiceNow Virtual Agent (VA): Micro-Certification

Description
Exam Purpose

Prepare for the ServiceNow Virtual Agent (VA) and Natural Language Understanding (NLU) micro-certification exam with the most comprehensive set of practice questions with detailed explained answers, all built in the latest ServiceNow release!

The Virtual Agent Micro-Certification exam certifies that you have the skills and essential knowledge to contribute to the configuration, implementation, maintenance, and administration of the Virtual Agent application.

Exam Preparation

Exam questions are based on official ServiceNow training materials, the ServiceNow documentation site, and the ServiceNow developer site. It should not be considered the official study or exam materials and should only be used to practice for the actual micro-certification exam.

Exam Scope

Implementing Virtual Agent (50%)

Implementing Natural Language Understanding (NLU) (50%)

Simulation Exam Structure

To achieve the ServiceNow Virtual Agent micro-certification, you should undertake a simulation-based exam which is 60-minute long and consists of approximately (14) tasks. For each task on the examination, you must complete the assigned work within a task and validate.

The assessment simulator allows you to show your knowledge by reading a scenario, doing the work to meet a set of requirements based on the scenario, and verifying your work is done correctly.

Preparation Exam Structure

There are additional practice questions for you to prepare for the simulation exam, which follows the same scope, number and weighting. Like the simulation exam, the preparation exams are non-proctored, 60-minute long and consist of approximately (14) questions.

For each question on the preparation examinations, there are multiple possible responses. You should review the response options and select the most correct answer to the question.

Multiple Choice (single answer)

For each multiple-choice question on the exam, there are four possible responses. You should review the response options and select the one response most accurately answers the question.

Multiple Select (select all that apply)

For each multiple-select question on the exam, there are at least four possible responses. The question will state how many responses should be selected. You should review the response options and select ALL responses that accurately answer the question. Multiple-select questions have two or more correct responses.

Who this course is for:
New users of ServiceNow Virtual Agent (VA) and Natural Language Understanding (NLU)
Anyone interested in getting certified in Virtual Agent (VA) and Natural Language Understanding (NLU)
ServiceNow customers, partners and employees

Contact us
email - [email protected]

How to Build a Web Scraper Bot Application with GolangWhat you'll learnArchitect large, scalable apps using a golang lan...
08/02/2024

How to Build a Web Scraper Bot Application with Golang

What you'll learn
Architect large, scalable apps using a golang language
Solve problems with scrapping data from jobs sites
Build a Golang app to send data from Mongo DB to Telegram channel
Develop a service app with Golang and MongoDB
Leverage your Golang skills to build a complex web app
Write nothing but production-level code. No cutting corners!

Requirements
Basic knowledge of Golang and Mongo is required
You must be familiar and comfortable with the command line
Description
Scalable, production-ready code? Its here!

How This Course Works

This will expose you to challenging problems and clever solutions when handling subjects like parse - scrapping jobs from sites.

What Technology You'll Use

We are building a backend application, we'll use Goalng - Go. Data for each service is held in either a Mongo database.

This is a scary list of technologies! Not familiar with some of these? No problem! The course is built assuming that you only know the basics of Golang and Mongo. No other knowledge is needed - you will learn everything you need to know.

What You'll Be Able to Do

By the time you complete this course, you will be able to:

Architect feeds parsing application

Determine whether your app is a good fit for a select area of webcams to watch for objects

Organize and enhance the reusability of code in large projects

What You'll Learn

An absolute incredible number of topics are covered in this course. Here is a partial list of what you'll do:

Create a telegram channel

Posts messages to telegram channel

Store parsed data to mongo db

Used popular solution to parse data from sites

And much more!

Who this course is for:
Golang engineers looking to parse data from sites and sending to Telegram channels
This course is *not* designed for sysadmins focused on infrastructure deployment

Contact us
email - [email protected]

Learn AWS LEX with Live Project, Slack Integration and CI/CDWhat you'll learnLearn AWS Lex ChatBot ServicesAWS Lex Hands...
06/02/2024

Learn AWS LEX with Live Project, Slack Integration and CI/CD

What you'll learn
Learn AWS Lex ChatBot Services
AWS Lex Hands On Live Project
AWS Lex Integration with Lambda
AWS Lex Integration with Slack Channels
AWS Lex CI/CD Setup using GitLab
AWS Lex Live Demo of Features

Requirements
Very Basic Programing knowledge
Description
AWS Lex ChatBot | Live Project, Slack Integration and CI/CD

Learn AWS Lex ChatBot with Live Project, Integration with Slack and GitLab CI/CD Pipeline Setup for Lex/Lambda ChatBot

Course Layout:

Introduction to AWS Lex

AWS Account Setup

Understanding AWS Lambda with Example

Setup a Demo Bot to explore Lex Features

Live Hands On Project with S3 Website Hosting and Slack Integration

GitLab CI/CD Setup for Lex Bot

This Course Covers !!

Setup of Free Tier AWS Account

Intro to AWS Lambda

Understand Lambda working

Setup Demo Function on Lambda

AWS Lex Sample utterances

AWS Lex Slots

AWS Lex Fulfillment and Response

AWS Lex Confirmation prompt

AWS Lex Lambda initialization and validation

AWS Lex Custom Slot Type

AWS Lex Response Card

AWS Lex Error handling

AWS Lex Channels

AWS Lex Monitoring

AWS Lex Lambda Logs in CloudWatch

Setup Lex Bot

Setup Lambda

4-5 Live Intents Setup

Lambda Integration

Slack Integration

Help Intent Setup using S3 Website Hosting

Gitlab Account/Project Setup

GitLab Runner Setup

CI/CD Setup for Lex/Lambda

S3 Integration for Packages

After going through this course, you can also practice onto Lex in AWS Free Tier Account and then can easily setup new projects as per your requirements

This course also includes a session on "How to Terminate your AWS Free Tier Account"

We are also offering other Hands On Courses on:

Bash Commands and Scripting Hands On

Ansible Playbooks Hands On

Docker Commands and Docker Files Setup Hands On

GitLab CI/CD Hands On

Who this course is for:
Beginners/Professionals who want to explore Lex
Beginners/Professionals who want to work on Lex Live Project with Slack Integration
Beginners/Professionals who want to setup CI/CD for Lambda

Contact us
email - [email protected]

Chatfuel + Integromat = Ultimate ChatbotWhat you'll learnDesign and build your own advanced chatbot functionsMaster the ...
06/02/2024

Chatfuel + Integromat = Ultimate Chatbot
What you'll learn
Design and build your own advanced chatbot functions
Master the commonly used modules every chatbot creator must know
Understand Integromat basics that can also be used for non-chatbot purpose
Broadcast message or send a JSON response to your chatbot
Add, update, delete and retrieve data from Google Sheets
Display dynamic content for e-commerce, products, services, events and more
Personalize coupons, greeting cards, certificate with Facebook profile photo
Sending emails to your chatbot users
Add a Mailchimp signup form with email validation
Send pdfs or host other files in Google Drive, Dropbox or Wordpress site
Requirements
You will need Chatfuel, Integromat and page to follow along. And other web services: Google Sheets, Cloudinary, SendGrid, Google Drive, Mailchimp and Dropbox
You may need to be somewhat familiar with Chatfuel bot platform
NO experience with Integromat or coding required
Description
Do you want to build Advanced Chatbot Functions without coding?
If you are a Chatfuel user looking for Zapier-like tool that will allow you to integrate hundreds of apps and services with your Facebook Messenger chatbots to perform amazing functions, Integromat is the best answer.
This full course is the best way to jump right in and start building.
What is this Chatfuel + Integromat course all about?
In this complete guide to advanced chatbot functionality course, you'll not only learn all the necessary tools in Integromat, but also the advanced techniques used by real-world chatbot creators.
By the end of this course, you'll have a thorough understanding of how to use Integromat and have the skill set to design and create your own chatbot functions.
First, you'll learn The Basics of Integromat:
How Integromat works?
Familiarizing with the interface
Scenario editor
Instant and scheduled triggers
Webhooks module
Tools module
HTTP and JSON module
Router and filter
Advanced functions
And more
Then you'll learn The Different Aspect of using Integromat to:
Send JSON response
Broadcast messages
Google Sheets integration
Generate dynamic gallery
Host header image with Google Drive or Dropbox
Manipulate images with Cloudinary
Apply face detection, overlay and text to images
File type validation
Send emails with SendGrid
Mailchimp integration
Setup error handler
Email validation
Send PDFs or files
And so much more!
It will never be a better time to upgrade your chatbot creation skills than today!
While today is still the best day you can get started with building advanced functions for your chatbot that will stands out from the rest, it will get harder to differentiate as the markets get more and more competitive. You want to start as soon as you can (like today) to take advantage of this growing market. Instead of struggling and trying to do everything yourself, just learn from someone who has already figured it out.
My promise to you
My name is Jinhoe and I'm a chatbot creator and online instructor. I'll be here for you every step of the way. If you have any questions about the course content or anything related to this topic, you can always post a question in the course or send me a direct message.
With my 30-day money back guarantee, there is nothing holding you back from jumping in right now and trying the course out.
Go ahead and CLICK THE ENROLL BUTTON, and I'll see you in lesson 1!
Cheers,
Jinhoe
Who this course is for:
Anyone who wants to bring their chatbot creation skills to the next level
You are a complete beginner who has never logged in Integromat (or have never learned how to use it properly)
You have played around with Integromat, but need some help to become more efficient and better
You want to learn how to build advanced functions for your chatbot without coding
Contact us
email - [email protected]

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