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GreaterHeight Technologies LLC ~ GreaterHeight Academy
  • All Courses
    • BI and Visualization
      • Mastering Data and Business Analytics
        • Basic Excel for Data Analysis
        • Intermediate and Advanced Excel for Data Analysis
        • Excel for Business Analysis & Analyst
        • PivotTable, PowerPivot, PowerQuery & DAX for Data Analysi
        • Data Analytics and Visualization with Tableau
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        • Python Foundation for Data Analytics
        • Data Analysis Using Python With Numpy and Pandas
        • Data Visualization Using Python with Matplotlib and Seaborn
        • Data Science with SQL Server and Azure SQL Database
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Artificial Intelligence Certification Course 


You will learn to perform image pre-processing, image classification, transfer learning, object detection, computer vision and also be able implement popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python.


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Artificial Intelligence Certification Course


Who this course is for:

The following professionals can most definitely pursue a career in the field of data science:

  • IT professionals, Aspiring data scientists, Software Engineers/Developers, Data analysts, Analytics managers, Business analysts, Banking and Finance professionals, Marketing managers, Supply Chain Network managers, Recent graduates with Bachelor’s or Master’s degrees, etc..


What you will Learn:

  • Learn the basic of Artificial Intelligence from scratch.
  • You'll know how recurrent neural networks work.
  • Use k Nearest Neighbor classification method to classify datasets.
  • Classify Handwritten Images by Logistic classification method.
  • You'll know the ideas behind Genetic Algorithm.
  • You'll know the ideas behind Particle Swarm Optimization Method.
  • Learn how Neural Networks work.
  • You'll learn how to create LSTM networks using python and Keras.
  • Classify datasets by using Support Vector Machine method.
  • You'll know how Linear Regression work.
  • You'll know how Multi Linear Regression work using sklearn and Python.
  • You'll know how to find optimum point for complicated Trigonometric functions.
  • Program Multilayer Perceptron Network from scratch in python.
  • You'll know how to forecast Google stock price with high accuracy.
  • Understand main concept behind Support Vector Machine method.
  • Program Logistic Regression from scratch in python.
  • Build Model to Predict CO2 and Global Temperature by Polynomial Regression.
  • You'll learn how to solve well known problems like Travelling Salesman Problem (TSP).

Course Benefits & Key Features

Artificial Intelligence Certification Course’s benefits and key features.
Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion


INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our                        

learners say they have confidence and remember more               

when they learn by building real world projects which is                

required to work in your real life.


  • Get step-by-step guidance to practice your skills without getting stuck
  • Validate your technical problem-solving skills in a real environment
  • Troubleshoot complex scenarios to practice what you learned
  • Develop production experience that translates into real-world
.

Artificial Intelligence Certification Course Job Outlook


.

Shaping The Future

AI is shaping the future of humanity across every industry and will continue to act as a technological innovator for the foreseeable future..

Artificial Intelligence Salary Trend

As per salary.com, the base salary for Lead AI Engineer ranges from USD 157,302 to USD 191,127 with the average base salary of USD 170,265.

AI Market Size

The global AI market size was valued at USD 136.55B in 2022 and is expected to hit USD 1,597.1B by 2030 at a CAGR of 37.3% from 2023 to 2030.



  • NLP Research Scientist
  • Machine Learning Engineer

Job Titles include:


  • Deep Learning Engineer
  • Artificial Intelligence Engineer


  • AI Researcher


Artificial Intelligence Tools Covered

.

Artificial Intelligence Skills Covered

.
  • Image Classification
  • Collaborative Filtering

  • Image Processing
  • Text Classification

  • Text Processing
  • Computer Vision

Why Artificial Intelligence Certification Course?

Learn In-demand Skills

Those with careers in Artificial Intelligence learn relevant in-demand skills that span industries and add value to every digital-enabled organization.


Earn a Higher Salary

Experienced Artificial Intelligence can earn up to $112,000 per year and transition into higher-paying jobs as Senior Artificial Intelligence, Data Scientists, or Analytics Managers.

Positive Job Outlook

The Artificial Intelligence market is predicted to hit $132.90 Billion USD by 2026. COVID-19 pandemic accelerated the adoption of data analytics solutions and services.

Shape the Future

Artificial Intelligence transform organizations by capitalizing on data to improve their business decisions and solve critical real-world problems.

Become a Leader

Being a central part of an organization’s decision-making processes, Artificial Intelligence experts often pick up strong leadership skills as well.

Data Analysis are Constantly Evolving

Artificial Intelligence moves quickly, and data analysts are constantly learning and advancing in their careers.




GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field. 

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

Artificial Intelligence Certification Course Training

GreaterHeight Academy’s Advanced Artificial Intelligence Course helps you master essentials of text processing and classifying texts along with important concepts such as Tokenization, Stemming, Lemmatization, POS tagging and many more. You will learn to perform image pre-processing, image classification, transfer learning, object detection, computer vision and also be able implement popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. This course is curated by the industry experts after an extensive research to meet the latest industry requirements and demands. Unleash the power of Artificial Intelligence and accelerate your career— join the global revolution now!

WEEK 9-11 | 18 Modules | 30+ Hours | 18 Skills

Course Modules


  1. Overview of Text Mining
  2. Need of Text Mining
  3. Natural Language Processing (NLP) in Text Mining
  4. Applications of Text Mining
  5. OS Module
  6. Reading, Writing to text and word files
  7. Setting the NLTK Environment
  8. Accessing the NLTK Corpora

Hands-on/Demo

  1. Install NLTK Packages using NLTK Downloader
  2. Accessing your operating system using the OS Module in Python
  3. How to read json format, understand key-value pairs, and for that matter, understand uses of pkl files

  1. Tokenization
  2. Frequency Distribution
  3. Different Types of Tokenizers
  4. Bigrams, Trigrams & Ngrams
  5. Stemming
  6. Lemmatization
  7. Stopwords
  8. POS Tagging
  9. Named Entity Recognition

Hands-on/Demo

  1. Regex, Word, Blankline, Sentence Tokenizers
  2. Bigrams, Trigrams & Ngrams
  3. Stopword Removal
  4. UTF encoding, dealing with URLs, hashtags
  5. POS Tagging
  6. Named Entity Recognition (NER)

  1. Syntax Trees
  2. Chunking
  3. Chinking
  4. Context Free Grammars (CFG)
  5. Automating Text Paraphrasing

Hands-on/Demo

  1. Parsing Syntax Trees
  2. Chunking
  3. Chinking
  4. Automate Text Paraphrasing using CFG’s

  1. Machine Learning: Brush Up
  2. Bag of Words
  3. Count Vectorizer
  4. Term Frequency (TF)
  5. Inverse Document Frequency (IDF)

Hands-on/Demo

  1. Demonstrate Bag of Words Approach
  2. Working with CountVectorizer()
  3. Using TF & IDF

  1. What is Deep Learning?
  2. Curse of Dimensionality
  3. Machine Learning vs. Deep Learning
  4. Use cases of Deep Learning
  5. Human Brain vs. Neural Network
  6. What is Perceptron?
  7. Learning Rate
  8. Epoch
  9. Batch Size
  10. Activation Function
  11. Single Layer Perceptron

Hands-on/Demo

  1. Single Layer Perceptron

  1. Introduction to TensorFlow 2.x
  2. Installing TensorFlow 2.x
  3. Defining Sequence model layers
  4. Activation Function
  5. Layer Types
  6. Model Compilation
  7. Model Optimizer
  8. Model Loss Function
  9. Model Training
  10. Digit Classification using Simple Neural Network in TensorFlow 2.x
  11. Improving the model
  12. Adding Hidden Layer
  13. Adding Dropout
  14. Using Adam Optimizer

Hands-on/Demo

  1. Classifying handwritten digits using TensorFlow 2.0

  1. Image Classification Example
  2. What is Convolution
  3. Convolutional Layer Network
  4. Convolutional Layer
  5. Filtering
  6. ReLU Layer
  7. Pooling
  8. Data Flattening
  9. Fully Connected Layer
  10. Predicting a cat or a dog
  11. Saving and Loading a Model
  12. Face Detection using OpenCV

Hands-on/Demo

  1. Saving and Loading a Model
  2. Face Detection using OpenCV

  1. Regional-CNN
  2. Selective Search Algorithm
  3. Bounding Box Regression
  4. SVM in RCNN
  5. Pre-trained Model
  6. Model Accuracy
  7. Model Inference Time
  8. Model Size Comparison
  9. Transfer Learning
  10. Object Detection – Evaluation
  11. mAP
  12. IoU
  13. RCNN – Speed Bottleneck
  14. Fast R-CNN
  15. RoI Pooling
  16. Fast R-CNN – Speed Bottleneck
  17. Faster R-CNN
  18. Feature Pyramid Network (FPN)
  19. Regional Proposal Network (RPN)
  20. Mask R-CNN

Hands-on/Demo

  1. Transfer Learning
  2. Object Detection

  1. What is Boltzmann Machine (BM)?
  2. Identify the issues with BM
  3. Why did RBM come into the picture?
  4. Step-by-step implementation of RBM
  5. Distribution of Boltzmann Machine
  6. Understanding Autoencoders
  7. Architecture of Autoencoders
  8. Brief on types of Autoencoders
  9. Applications of Autoencoders

Hands-on/Demo

  1. Implement RBM
  2. Simple encoder

  1. Which Face is Fake?
  2. Understanding GAN
  3. What is Generative Adversarial Network?
  4. How does GAN work?
  5. Step by step Generative Adversarial Network implementation
  6. Types of GAN
  7. Recent Advances: GAN

Hands-on/Demo

  1. Implement Generative Adversarial Network

  1. Where do we use Emotion and Gender Detection?
  2. How does it work?
  3. Emotion Detection architecture
  4. Face/Emotion detection using Haar Cascade
  5. Implementation on Colab

Hands-on/Demo

  1. Implement Emotion and Gender Detection

  1. Issues with Feed Forward Network
  2. Recurrent Neural Network (RNN)
  3. Architecture of RNN
  4. Calculation in RNN
  5. Backpropagation and Loss calculation
  6. Applications of RNN
  7. Vanishing Gradient
  8. Exploding Gradient
  9. What is GRU?
  10. Components of GRU
  11. Update gate
  12. Reset gate
  13. Current memory content
  14. Final memory at current time step

Hands-on/Demo

  1. Implement COVID RNN GRU

  1. What is LSTM?
  2. Structure of LSTM
  3. Forget Gate
  4. Input Gate
  5. Output Gate
  6. LSTM architecture
  7. Types of Sequence-Based Model
  8. Sequence Prediction
  9. Sequence Classification
  10. Sequence Generation
  11. Types of LSTM
  12. Vanilla LSTM
  13. Stacked LSTM
  14. CNN LSTM
  15. Bidirectional LSTM
  16. How to increase the efficiency of the model?
  17. Backpropagation through time
  18. Workflow of BPTT

Hands-on/Demo

  1. Intent Detection using LSTM

  1. Auto Image Captioning
  2. COCO dataset
  3. Pre-trained model
  4. Inception V3 model
  5. The architecture of Inception V3
  6. Modify the last layer of a pre-trained model
  7. Freeze model
  8. CNN for image processing
  9. LSTM or text processing

Hands-on/Demo

  1. Auto Image Captioning

  1. Why is OpenCV used?
  2. What is OpenCV
  3. Applications
  4. Demo: Build a Criminal Identification and Detection App

Hands-on/Demo

  1. Build a Criminal Identification and Recognition app on Streamlit.

  1. Use Case: Amazon’s Virtual Try-Out Room.
  2. Why Deploy models?
  3. Model Deployment: Intuit AI models
  4. Model Deployment: Instagram’s Image Classification Models
  5. What is Model Deployment
  6. Types of Model Deployment Techniques
  7. TensorFlow Serving
  8. Browser-based Models
  9. What is TensorFlow Serving?
  10. What are Servables?
  11. Demo: Deploy the Model in Practice using TensorFlow Serving
  12. Introduction to Browser based Models
  13. Demo: Deploy a Deep Learning Model in your Browser.

Hands-on/Demo

  1. Learn and build a program that Detects Faces using your webcam using OpenCV.
  2. Learn Hyper parameter tuning techniques in Keras on a Fashion Dataset.
  3. Build and deploy a model using TensorFlow Serving.
  4. Build a neural network model for Handwritten digits use activation function, batch size, Optimizer and learning rate for betterment of you model.
  5. Build a Object detection model and detection is done by providing a video the model accurately identifies the objects that are depicted in the teaching (video).

  1. Converting text to features and labels
  2. Multinomial Naive Bayes Classifier
  3. Leveraging Confusion Matrix

Hands-on/Demo

  1. Converting text to features and labels
  2. Demonstrate text classification using Multinomial NB Classifier
  3. Leveraging Confusion Matri

  1. Sentiment Classification on Movie Rating Dataset

Hands-on/Demo

  1. Implement all the text processing techniques starting with tokenization
  2. Express your end to end work on Text Mining
  3. Implement Machine Learning along with Text Processing

PYTHON PROGRAMMING CERTIFICATION COURSE COST


United States

$299.99

United Kingdom

£349.99

Career and Certifications


GreaterHeight Academy's Certificate Holders also prepared work at companies like:



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FAQs

Artificial Intelligence Certification Course Training

  • GreaterHeight Academy’s Artificial Intelligence Course is well researched amalgamation of Natural Language Processing and Deep Learning, specifically designed for professionals and beginners to meet the industry standards. This course gives you an in-depth understanding of Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing using Python’s NLTK package, CNN, RCNN, RNN, LSTM, RBM, and their implementation using TensorFlow 2.0 package. You will learn to build real-time projects on NLP and Deep Learning, to make you industry-ready and help you to kickstart your career in this domain.

  • Prior knowledge of Python and Machine Learning will be helpful but not at all mandatory. To refresh your skills in Python and ML, we will provide self-paced videos absolutely free as prerequisites in your LMS.

The demand for AI engineers is increasing rapidly and is expected to continue growing in the future, driven by the increasing adoption of AI technologies in various industries and the growing importance of AI skills in the job market.

There are many reasons why someone might want to take up an online artificial intelligence course. Here are a few:

  1. Career advancement: Artificial intelligence is one of the fastest-growing fields in technology today, and there is a high demand for skilled professionals in this area. By taking an AI course, you can increase your skills and knowledge and make yourself more valuable to employers.
  2. Stay up-to-date: The field of artificial intelligence is rapidly evolving, with new technologies and techniques being developed all the time. By taking an AI course, you can stay up-to-date with the latest trends and developments in the field.
  3. Learn from experts: You will be taught by experts in the field, giving you access to their knowledge and experience. This can be invaluable in helping you understand complex topics and gain practical skills.

The field of artificial intelligence (AI) is rapidly growing and is expected to continue growing in the coming years. AI is being used in many industries such as healthcare, finance, education, and more. With the increasing adoption of AI, there is a high demand for professionals with the necessary skills and knowledge to work in this field.

Here are some ways AI career growth is happening:

  1. Increased job opportunities: There is a growing demand for AI professionals in both technical and non-technical roles. Technical roles include AI engineers, data scientists, machine learning engineers, and software developers, while non-technical roles include AI project managers, AI consultants, and AI analysts.
  2. Advancements in technology: As AI technology advances, there are new opportunities for AI professionals to develop new applications and solutions that can solve complex problems.
  3. Emerging subfields: There are emerging subfields within AI, such as explainable AI, AI ethics, and AI security, which provide new opportunities for AI professionals to specialize and grow their careers.
  4. Continuous learning and development: AI is a constantly evolving field, and AI professionals must continuously learn and develop new skills to stay up-to-date with the latest advancements.

Overall, the field of AI provides many opportunities for career growth and development, and there is a high demand for skilled professionals in this field. Enroll in this Artificial Intelligence Certification training today.

  • This Artificial Intelligence Course provides in-depth knowledge of concepts such as Natural Language Processing, Text Classification, Text Processing, Image Processing, Object Detection, Deep Learning, TensorFlow, OpenCV, and many more.

The Artificial Intelligence course is suitable for anyone who wants to stay up-to-date with the latest advances in AI and wants to build the skills needed to develop and deploy intelligent systems.

This course will be ideal for the following professionals.

  1. Freshers
  2. Python Developers
  3. Researchers
  4. Data Scientists
  5. Data Analysts
  6. Machine Learning Engineers
  7. NLP Engineers
  8. Software Testers
  9. Software Developers

If you are one of the above, then do not hesitate to talk to our assistant team and enroll in our AI Course training today.

Artificial Intelligence (AI) is a broad field with many subfields, and the skills required for an AI engineer can vary depending on the specific area of expertise. However, there are some basic skills that most AI engineers should possess:

  1. Strong Programming Skills: AI engineers need to have a strong foundation in programming languages such as Python, C++, Java, or R. This includes knowledge of data structures, algorithms, and object-oriented programming.
  2. Machine Learning: AI engineers must have a solid understanding of the concepts and algorithms of machine learning. This includes knowledge of supervised and unsupervised learning, deep learning, and natural language processing (NLP).
  3. Data Structures and Algorithms: A deep understanding of data structures and algorithms is essential for designing and implementing efficient algorithms for large data sets. This also includes knowledge of big data technologies and distributed computing.
  4. Statistics and Probability: Knowledge of statistics and probability is essential for understanding and designing machine learning algorithms. AI engineers need to know concepts like hypothesis testing, regression analysis, and Bayesian networks.
  5. Problem Solving: AI engineers must have strong problem-solving skills to design and implement complex AI systems. They must be able to identify problems, break them down into smaller components, and develop solutions.
  6. Creativity: AI engineers must be creative thinkers to develop novel solutions to complex problems. They should be able to think outside the box and come up with innovative ideas.
  7. Ethics and Accountability: AI engineers must understand the ethical implications of their work and the impact it has on society. They must ensure their AI systems are transparent, explainable, and accountable.

  • GreaterHeight Academy’s Artificial Intelligence Course enables you to move ahead in your career by helping you get skilled with the fundamentals of AI. The AI course focuses on providing hands-on experience to make you ready for any AI related opportunity.

  • Learn the fundamentals of Natural Language Processing (NLP), sentiment analysis, language translation, text summarization, deep learning, convolutional neural networks, recurrent neural networks, and autoencoders. Additionally, you will be working with the OpenCV library, object detection, image segmentation, and image classification along with various real-life projects.

The system requirements for this AI Course

  1. A system with an Intel i3 processor or above
  2. A minimum of 4GB RAM (8GB or above is recommended for faster processing)
  3. 50 GB HDD Storage
  4. Operating system: 32-bit or 64-bit

The syllabus of the artificial intelligence course covers

  1. Introduction to Text Mining and NLP
  2. Extracting, Cleaning, and Preprocessing Text
  3. Analyzing Sentence Structure
  4. Text Classification-I
  5. Introduction to Deep Learning
  6. Getting Started with TensorFlow 2.0
  7. Convolution Neural Network
  8. Regional CNN
  9. Boltzmann Machine & Autoencoder
  10. Generative Adversarial Network(GAN)

  • You will execute your Assignments/Case Studies using Python Jupyter Notebook/Google Colab. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.

  • All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs. of development experience in various technologies and are trained by GreaterHeight Academy to deliver interactive training to the participants.

  • Yes, we do. As the technology upgrades, we do update our content and provide your training on latest version of that technology.

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

  • Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

  • No. Any abuse of copyright is taken seriously. Thanks for your understanding on this one.

  • Yes, we would be providing you with the certificate of completion of the program once you have successfully submitted all the assessment and it has been verified by our subject matter experts.

  • Yes. But you can also raise a ticket with the dedicated support team at any time. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, our support is provided for a period of Twelve Weeks from the start date of your course.

  • GreaterHeight is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

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Microsoft Azure DP-203 Data Engineer

Microsoft Azure DP-203 Data Engineer

You will learn Batch & Real Time Analytics, Azure Synapse Analytics, Azure Databricks,   Implementing Security and ETL & ELT Pipelines.

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