Data Architectures (Online Courses)
Elevate your career trajectory with our premier online course, designed to sharpen your competitive edge. Explore our curated selection of top-tier digital programs to hone your skills and propel your professional journey forward. Experience transformative learning tailored to empower your career advancement in today's dynamic landscape.
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This Course Includes
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34 hours 10 minutesof self-paced video lessons -
36 Programscrafting your path to success -
Completion Certificateawarded on course completion
Adversarial Problems
Price on Request
35 minutes
Many problems occur in environments with more than one agent, such as games. Explore techniques used to solve adversarial problems to make agents play games, like chess.
Perks of Course
Certificate: Yes
CPD Points: 34
Compliance Standards: AICC
AI Fundamentals
Price on Request
1 hour 5 minutes
Discover the fundamental concepts of the technologies driving artificial Intelligence (AI).
Perks of Course
Certificate: Yes
CPD Points: 63
Compliance Standards: AICC
AI Practitioner: BERT Best Practices & Design Considerations
Price on Request
55 minutes
Bidirectional Encoder Representations from Transformers (BERT), a natural language processing technique, takes the capabilities of language AI systems to great heights. Google's BERT reports state-of-the-art performance on several complex tasks in natural language understanding. In this course, you'll examine the fundamentals of traditional NLP and distinguish them from more advanced techniques, like BERT. You'll identify the terms attention and transformer and how they relate to NLP. You'll then examine a series of real-life applications of BERT, such as in SEO and masking. Next, you'll work with an NLP pipeline utilizing BERT in Python for various tasks, namely, text tokenization and encoding, model definition and training, and data augmentation and prediction. Finally, you'll recognize the benefits of using BERT and TensorFlow together.
Perks of Course
Certificate: Yes
CPD Points: 57
Compliance Standards: AICC
AI Practitioner: Practical BERT Examples
Price on Request
50 minutes
Bidirectional Encoder Representations from Transformers (BERT) can be implemented in various ways, and it is up to AI practitioners to decide which one is the best for a particular product. It is also essential to recognize all of BERT's capabilities and its full potential in NLP. In this course, you'll outline the theoretical approaches to several BERT use cases before illustrating how to implement each of them. In full, you'll learn how to use BERT for search engine optimization, sentence prediction, sentence classification, token classification, and question answering, implementing a simple example for each use case discussed. Lastly, you'll examine some fundamental guidelines for using BERT for content optimization.
Perks of Course
Certificate: Yes
CPD Points: 50
Compliance Standards: AICC
Applying Machine Learning
Price on Request
30 minutes
Applying machine learning to problems can be a difficult task because of all the different models that are offered. Discover how to evaluate and select machine learning models and apply machine learning to a problem.
Perks of Course
Certificate: Yes
CPD Points: 32
Compliance Standards: AICC
Constraint Satisfaction Problems
Price on Request
20 minutes
Search algorithms provide solutions for many problems, but they aren't always the optimal solution. Discover how constraint satisfaction algorithms are better than search algorithms in some cases, and how to use them.
Perks of Course
Certificate: Yes
CPD Points: 21
Compliance Standards: AICC
Convolutional and Recurrent Neural Networks
Price on Request
35 minutes
Some tasks aren't suitable for traditional neural networks and require specialized neural networks. Explore convolutional and recurrent neural networks and the types of problems they can solve.
Perks of Course
Certificate: Yes
CPD Points: 33
Compliance Standards: AICC
Deep Learning & Neural Network Implementation
Price on Request
1 hour
Discover how to implement neural network with data sampling and workflow models using scikit-learn, and explore the pre and post model approaches of implementing machine learning workflows.
Perks of Course
Certificate: Yes
CPD Points: 62
Compliance Standards: AICC
Expert Systems & Reinforcement Learning
Price on Request
45 minutes
Explore the concepts of expert system along with its Implementation using Java based frameworks, and examine the implementation and usages of ND4J and Arbiter to facilitate optimization.
Perks of Course
Certificate: Yes
CPD Points: 47
Compliance Standards: AICC
Implementing ML Algorithm Using scikit-learn
Price on Request
1 hour 15 minutes
Discover how to implement data classification using various techniques, including Bayesian, and learn to apply various search implementations with Python and scikit-learn.
Perks of Course
Certificate: Yes
CPD Points: 73
Compliance Standards: AICC
Implementing Robotic Process Automation
Price on Request
1 hour
Discover how to implement Robotic Process Automation (RPA) using Python, and explore various RPA frameworks with the practical implementation of UiPath.
Perks of Course
Certificate: Yes
CPD Points: 62
Compliance Standards: AICC
Introducing Natural Language Processing
Price on Request
35 minutes
Natural language is essential to human communication, which makes the ability to process it an important one for computers. Explore natural language processing and some of the basic tasks.
Perks of Course
Certificate: Yes
CPD Points: 35
Compliance Standards: AICC
Introduction to Machine Learning & Supervised Learning
Price on Request
45 minutes
Machine learning includes many different fields that focus on different problems. Explore what machine learning is and the fundamentals of supervised learning.
Perks of Course
Certificate: Yes
CPD Points: 46
Compliance Standards: AICC
Machine Learning & Data Analytics
Price on Request
1 hour 5 minutes
Explore critical machine learning (ML) and deep learning concepts and the various categorizations of algorithms and their implementations using Python.
Perks of Course
Certificate: Yes
CPD Points: 63
Compliance Standards: AICC
Machine Learning Implementation
Price on Request
1 hour 25 minutes
Explore the various machine learning techniques and implementations using Java libraries, and learn to identify certain scenarios where you can implement algorithms.
Perks of Course
Certificate: Yes
CPD Points: 86
Compliance Standards: AICC
Neural Network & Neuroph Framework
Price on Request
1 hour 45 minutes
Discover the essential features and capabilities of Neuroph framework and Neural Networks, and also how to work with and implement Neural Networks using Neuroph framework.
Perks of Course
Certificate: Yes
CPD Points: 107
Compliance Standards: AICC
Neural Network & NLP Implementation
Price on Request
55 minutes
Discover how to implement advanced neural network using DL4j and explore the concept of NLP and its implementation using OpenNLP Java library.
Perks of Course
Certificate: Yes
CPD Points: 56
Compliance Standards: AICC
Neural Networks
Price on Request
30 minutes
Due to recent advancements in processing, neural networks have become easier to train, which made them extremely popular. Explore neural networks and how to use them.
Perks of Course
Certificate: Yes
CPD Points: 30
Compliance Standards: AICC
Reinforcement Learning
Price on Request
25 minutes
Some problems are too complicated to describe to a computer and to solve with traditional algorithms, which is why reinforcement learning is useful. Explore the fundamentals of reinforcement learning.
Perks of Course
Certificate: Yes
CPD Points: 26
Compliance Standards: AICC
Search Problems
Price on Request
35 minutes
Many problems faced by intelligent agents can be solved using searching methods. Explore search problems and useful methods to solve these problems.
Perks of Course
Certificate: Yes
CPD Points: 37
Compliance Standards: AICC
Supervised Learning Models
Price on Request
35 minutes
Supervised learning is one of the most popular techniques in machine learning. Explore supervised learning models and how to use them to solve problems.
Perks of Course
Certificate: Yes
CPD Points: 33
Compliance Standards: AICC
Supervised, Unsupervised & Deep Learning
Price on Request
1 hour 30 minutes
Discover how to implement various supervised and unsupervised algorithms of machine learning using Python, with the primary focus of clustering and classification.
Perks of Course
Certificate: Yes
CPD Points: 90
Compliance Standards: AICC
TensorFlow: Building Autoencoders
Price on Request
45 minutes
Explore how to perform dimensionality reduction using powerful unsupervised learning techniques such as Principal Components Analysis and autoencoding.
Perks of Course
Certificate: Yes
CPD Points: 46
Compliance Standards: AICC
TensorFlow: Convolutional Neural Networks for Image Classification
Price on Request
1 hour 20 minutes
Examine how to work with Convolutional Neural Networks, and discover how to leverage TensorFlow to build custom CNN models for working with images.
Perks of Course
Certificate: Yes
CPD Points: 81
Compliance Standards: AICC
TensorFlow: Deep Neural Networks & Image Classification Using Estimators
Price on Request
1 hour 10 minutes
Discover how to apply deep learning techniques to images, and how to leverage TensorFlow estimators in building image classification models.
Perks of Course
Certificate: Yes
CPD Points: 71
Compliance Standards: AICC
TensorFlow: Introduction to Machine Learning
Price on Request
1 hour 40 minutes
Explore the concept of machine learning in TensorFlow, including TensorFlow installation and configuration, the use of the TensorFlow computation graph, and working with building blocks.
Perks of Course
Certificate: Yes
CPD Points: 100
Compliance Standards: AICC
TensorFlow: K-means Clustering
Price on Request
1 hour
Discover how to differentiate between supervised and unsupervised machine learning techniques. The construction of clustering models and their application to classification problems is also covered.
Perks of Course
Certificate: Yes
CPD Points: 59
Compliance Standards: AICC
TensorFlow: Sentiment Analysis with Recurrent Neural Networks
Price on Request
55 minutes
Discover how to construct neural networks for sentiment analysis. How to generate word embeddings on training data and use pre-trained word vectors for sentiment analysis is also covered.
Perks of Course
Certificate: Yes
CPD Points: 57
Compliance Standards: AICC
TensorFlow: Simple Regression & Classification Models
Price on Request
1 hour 30 minutes
Explore how to how to build and train the two most versatile and ubiquitous types of deep learning models in TensorFlow.
Perks of Course
Certificate: Yes
CPD Points: 96
Compliance Standards: AICC
TensorFlow: Word Embeddings & Recurrent Neural Networks
Price on Request
1 hour 25 minutes
Explore how to model language and text with word embeddings and how to use those embeddings in Recurrent Neural Networks. Leveraging TensorFlow to build custom RNN models is also covered.
Perks of Course
Certificate: Yes
CPD Points: 42
Compliance Standards: AICC
Uncertainty
Price on Request
40 minutes
Many problems aren't fully observable and have some degree of uncertainty, which is challenging for AI to solve. Discover how to make agents deal with uncertainty and make the best decisions.
Perks of Course
Certificate: Yes
CPD Points: 39
Compliance Standards: AICC
Understanding Bots: Amazon Alexa Skills Development
Price on Request
1 hour 5 minutes
In this course, participants examine the Amazon Web Services (AWS) Alexa Skills Kit, including the use of invocations, intents, utterances, and slots. Testing with Alexa Simulator and Echosim is also covered. Begin by creating a skill in Alexa Development Console and looking at the use of invocations with the Alexa skill. Then discover how built-in intents are used in Alexa Development Console. Next, create and use custom intents, utterances, and slots in Alexa Development Console. To review: an intent is a construct representing an action that fulfills a spoken request, utterances are related spoken phrases mapped to the intent, while slots are optional arguments also related to intent. You will learn how to build a Lambda function and integrate it with an Alexa skill, then test a skill by using Alexa Simulator and Echosim. You will configure a skill to use DynamoDB for persisting session data. Finally, create an Alexa skill that manages a multistage conversation. The concluding exercise directs you to create a skill by using the Skills Kit in the Alexa Development Console.
Perks of Course
Certificate: Yes
CPD Points: 65
Compliance Standards: AICC
Understanding Bots: Building Bots with Dialogflow
Price on Request
55 minutes
In this course, participants explore the development of chatbots with one of the main chatbot development frameworks, Google's Dialogflow Developer Console. Start by creating an agent for a chatbot and exploring default intents in Dialogflow. Intents map what a user says to what the bot should do. You will then create custom intents in Dialogflow. Participants then examine the important differences between developer and system entities in Dialogflow. Next, you will generate developer entities to extract information from user conversations in Dialogflow. Learn how to generate training phases, which are user expressions that a user might say when they want to invoke an intent. You will then work with the actions and parameters associated with each intent. Learn how to write static responses, which a bot can respond to a user with in Dialogflow. Enable the Small Talk feature for a chatbot and test its functionality in Dialogflow. Then learn how to write inline cloud functions to satisfy a fulfillment in Dialogflow. A concluding exercise deals with creating a chatbox in Dialogflow.
Perks of Course
Certificate: Yes
CPD Points: 56
Compliance Standards: AICC
Understanding Bots: Chatbot Advanced Concepts and Features
Price on Request
1 hour 30 minutes
In this course, explore the advanced concepts and features for developing and deploying chatbots, working with contexts, integrating with alternate platforms, and deploying fulfillments. Begin by looking at linear and nonlinear human/chatbot conversations. Next, work with input and output contexts. Contexts represent the current state of a user's request in a dialogue. Move on to follow-up intents, which allow you to easily shape a conversation without needing to create and manage contexts manually. Create the entry point for a nonlinear conversation by using contexts, then carry those contexts on a chatbot dialog to produce nonlinear conversations. Explore how to integrate Dialogflow chatbots with other platforms and deploy a fulfillment in Dialogflow. Access and use Actions on Google in Dialogflow and test a chatbot by using Google Assistant. Integrate Dialogflow chatbots with Google Assistant. Learn about Chatfuel building blocks, examining the use of prebuilt flows and text and typing elements, quick reply images and send blocks in Chatfuel. In the closing exercise, describe chatbot linear and nonlinear conversations and build a basic chatbot with Chatfuel.
Perks of Course
Certificate: Yes
CPD Points: 83
Compliance Standards: AICC
Understanding Bots: Chatbot Architecture
Price on Request
55 minutes
In this course, participants will examine chatbot use cases, the technology stack, and popular development and deployment tools with Amazon's Alexa on Amazon Web Services (AWS) and Google's Dialogflow. First, you will learn about chatbots and in what categories they are used and the different classifications of chatbots. You will explore the different technologies orchestrated to create chatbots. Look at conversation flow and learn about the conversational flow of the typical chatbot/human interface. Then examine Dialogflow building blocks and the elemental building blocks for a typical chatbot built with AWS Alexa Skills Kit. Next, you will set up the AWS developer account required for Alexa Skills development and use the account and an AWS Lambda service to develop Alexa Skills. Then explore the components of the Alexa Development Console. Learn how to configure an AWS Lambda function. After setting up a developer account on Google's Dialogflow, you will look into the Dialogflow developer console and its components. In a closing exercise, you will practice what you learned about chatbots and their architecture.
Perks of Course
Certificate: Yes
CPD Points: 56
Compliance Standards: AICC
Unsupervised Learning
Price on Request
25 minutes
Unsupervised learning can provide powerful insights on data without the need to annotate examples. Explore unsupervised learning, clustering, anomaly detection, and dimensional reduction.
Perks of Course
Certificate: Yes
CPD Points: 25
Compliance Standards: AICC