Building Intelligent Applications with Bedrock AI: A Comprehensive Guide Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
| Course Title | Building Intelligent Applications with Bedrock AI: A Comprehensive Guide Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 days |
| Target Industries |
|
| Target Job Roles |
|
| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 1,000/KES 70,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Bedrock AI provides advanced tools and frameworks for developing intelligent applications that leverage artificial intelligence and machine learning. This course is designed to guide participants through the process of building, deploying, and optimizing applications using Bedrock AI, from foundational concepts to advanced techniques.
Duration
5 Days
Target Audience
- AI Developers
- Software Engineers
- Data Scientists
- Machine Learning Engineers
- IT Professionals
- Application Developers
- Technical Managers
Personal Impact
- Gain hands-on experience with Bedrock AI tools and frameworks.
- Enhance your skills in developing and deploying AI-powered applications.
- Improve your ability to integrate machine learning models into practical applications.
- Increase proficiency in optimizing and troubleshooting AI applications.
- Advance your career with expertise in a cutting-edge AI platform.
Organizational Impact
- Accelerate the development of intelligent applications to drive business innovation.
- Improve application performance and scalability through effective AI integration.
- Enable the organization to leverage AI for competitive advantage and operational efficiency.
- Enhance the organization’s capability to develop advanced AI solutions.
- Foster a culture of innovation and technology adoption within the organization.
Course Objectives
- Understand the core components and capabilities of Bedrock AI.
- Develop and implement intelligent applications using Bedrock AI’s tools and frameworks.
- Apply machine learning models and AI algorithms to solve real-world problems.
- Optimize application performance and scalability using Bedrock AI.
- Address common challenges in AI application development and deployment.
Course Modules
Modules
Module 1: Introduction to Bedrock AI
- Overview of Bedrock AI Platform and Capabilities
- Key Components and Architecture of Bedrock AI
- Navigating the Bedrock AI Interface and Tools
- Hands-On Exercise: Explore Bedrock AI’s interface and key features
- Case Study: Successful implementation of Bedrock AI in an intelligent application
Module 2: Developing Intelligent Applications
- Building AI Models with Bedrock AI
- Integrating Machine Learning Algorithms into Applications
- Designing and Implementing Application Logic with AI
- Hands-On Exercise: Develop a basic intelligent application using Bedrock AI
- Case Study: Application development using Bedrock AI tools and techniques
Module 3: Data Management and Preparation
- Importing and Managing Data with Bedrock AI
- Data Cleaning and Transformation Techniques
- Preparing Data for AI Model Training and Testing
- Hands-On Exercise: Manage and prepare datasets for AI applications
- Case Study: Data preparation for a complex AI project
Module 4: Optimizing and Scaling AI Applications
- Performance Optimization Techniques for AI Models
- Scaling Applications for High Availability and Load Management
- Monitoring and Troubleshooting AI Application Issues
- Hands-On Exercise: Optimize and scale an AI application
- Case Study: Performance optimization in a real-world AI deployment
Module 5: Best Practices and Future Trends
- Best Practices for AI Application Development and Deployment
- Ethical Considerations and Responsible AI Usage
- Exploring Future Trends and Innovations in AI with Bedrock
- Hands-On Exercise: Develop an implementation plan incorporating best practices and future trends
- Case Study: Future trends and innovations in AI application development
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].
Related Courses
Course Reviews
Based on 0 participant feedback
No reviews yet for this course. Be the first to share your experience!
Write a Course Review
Please share your honest feedback below.
Previous Participants
| # | Role | Organization | Country |
|---|---|---|---|
| 1 | Dev | T4D | Kenya |