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Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361)

4.6 out of 5 rating Last updated 21/11/2024   English

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Duration

3 Days

18 CPD hours

Overview

This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Equipped with these skills, you'll be set to infuse AI magic into your web creations, making them more intuitive, dynamic, and user-friendly.
Working in a hands-on learning environment led by our engaging AI expert you'll learn to:
-Decipher Smart Algorithms: Grasp the core concepts behind intelligent web design, enabling you to weave smart algorithms seamlessly into your web applications for enhanced user experiences.
-Navigate Data with Confidence: Delve deep into data transformation and grouping, helping you identify and interpret patterns, and ensuring your AI solutions are grounded in solid data science.
-Craft Personalized Content Recommendations: Develop a keen understanding of content suggestion systems, empowering you to curate web content that resonates with individual users.
-Master the Art of Sorting: Get hands-on with various item sorting techniques, ensuring that every piece of data finds its rightful place, and enhancing the efficiency and accuracy of your AI web applications.
-Predict with Precision: Uncover the secrets of forecasting online advertisement clicks. By the end of the course, you'll be equipped to anticipate user behaviors, optimizing ad placements and driving engagement.
-Harness Advanced Neural Networks: Take a deep dive into the interconnected world of neural systems. By understanding layers, perceptrons, and error correction methods, you'll be ready to craft sophisticated AI-driven solutions for your web projects.

Description

In today's digital age, the most engaging web applications leverage the transformative power of AI to offer responsive and individualized user experiences. Our Quick Start to Building AI-Driven Intelligent Web Applications invites you on an immersive journey, blending the dynamism of web development with the intelligence of AI. By delving into this synergy, you'll be well equipped to craft digital interfaces that not only enhance user engagement but also align seamlessly with business objectives, marking a pioneering stride into the future of intuitive and tailored web interactions.
Over two days, we'll delve into essential topics such as:
-Intelligent Web Design: Understand the foundation and intricacies of smart algorithms to craft intuitive web applications.
-Data Patterns: Decode and utilize data to make informed decisions for your AI integrations.
-Tailored Content Suggestions: Discover the mechanisms behind recommendation systems, offering users content that truly resonates.
-Efficient Sorting: Grasp advanced sorting techniques to streamline data processing and enhance user experience.
-Ad Click Predictions: Learn to forecast user behaviors, optimizing ad placements for better engagement.
-Neural Connectivity: Dive into the world of neural networks, understanding the core of AI's decision-making capabilities.
The course focuses heavily on practical real-world scenario-based hands-on labs, providing you with ample practice to apply your newly learned skills to real projects under the valuable guidance of our AI expert instructor. You'll apply critical concepts in real-time, from content recommendation to user behavior predictions. By the end of this course, you'll be equipped with the knowledge and practical skills to integrate AI into your web applications, making them not only functional but also intelligent and user-centric.

Prerequisites

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills:
-Basic Python Programming experience.
-Basic web development experience, working with HTML / CSS, etc.
-Comfort with elementary data concepts, such as databases, data structures, and basic data manipulation.

Intelligent Web Design and Implementation
A Glimpse of Smart Algorithms: An Insight into Google Now
The Evolution and Phases of Smart Algorithms
Additional Illustrations of Smart Algorithms
Limitations and Misconceptions of Intelligent Apps
Different Varieties and Types of Smart Algorithms
Methods to Measure Intelligent Algorithm Effectiveness
Crucial Considerations Regarding Smart Algorithms
Unraveling Patterns in Data: Transformation and Grouping
Understanding the Core Elements, Skewness, and Unsystematic Fluctuations in Data
Navigating through High-Dimensional Data Spaces
Methodology of Grouping Using K-means
Linking k-means Techniques with Gaussian Mixtures
Modifying and Refining the Data Dimensions
Tailored Content Suggestions and Recommendations
Scene Setting: Digital Film Shopping Platform
Comparative Metrics and Similarity in Content
Inside the Mechanics of Content Suggestion Systems
User-Centric Filtering Approaches
Mathematical Decomposition in Content Suggestions
The Race to Win the Netflix Challenge
Evaluative Metrics for Recommendation Systems
Item Sorting: Guiding Entities to Their Proper Locations
Recognizing the Importance of Sorting
A Brief Look at Various Sorting Techniques
Algorithmic Procedures
Unmasking Fraud Through Logistic Models
How Trustworthy are the Outcomes
Dealing with Extensive Sorting Datasets
A Detailed Examination: Online Advertisement Click Forecasts
Tracing the Roots and Framework
The Mechanism of Trade
Explaining the Role of a Bidding Participant
Deciphering Decision-Making Engines
Predicting Clicks Using Specific Algorithms
Challenges in Assembling a Decision-Making Mechanism
The Upcoming Era of Instantaneous Forecasts
Exploring Neural Connectivity and Advanced Learning Techniques
A Layman's Guide to Sophisticated Learning
Architecture of Interconnected Neural Systems
Understanding the Simplest Neural Unit: Perceptron
Layers of Connected Perceptrons
Learning through Error Correction Methods
Beyond Traditional Networks: A Journey into Advanced Learning
Decision Making: Selecting the Optimal Path
Comparative Analysis through A/B Testing
Exploring the Complexities of Multi-Option Scenarios
Real-Life Uses of Probabilistic Selection Methods
A/B Tests vs. Probabilistic Selection: A Contrast
Expanding on Multi-Option Selection Strategies
The Road Ahead for Smart Web Technology
The Role of ChatGPT and Other Comprehensive Language Processors
Additional course details:

Nexus Humans Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) Course

Available Delivery Options for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training provide?

The 3 day. Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training course prepare you for?

The Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training?

This Intermediate level course is geared for experienced technical professionals eager to meld the capabilities of AI with the dynamism of web applications. Roles might include experienced web developers, data analysts,
machine learning engineers, UX Designers and digital product managers.

Do you provide training for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361).

Yes we provide corporate training, dedicated training and closed classes for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) program.

The Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include AI; Machine Learning; Python.

Why are Nexus Human the best provider for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for UK on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training.

Yes, the discount code PENPAL5 is currently available for the Applied AI: Building AI-Driven Intelligent Web Applications (TTAI2361) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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