1. AWS Machine Learning
AWS Academy Machine Learning Foundations introduces participants to artificial intelligence and machine learning concepts and terminology. After attending this course, participants will be able to select and apply machine learning services to solve business problems. Participants will also be able to label, build, train, and deploy custom machine learning models through a guided practical approach.
In this course, participants will learn:
- Welcome to AWS Academy Machine Learning Foundation
- Introducing Machine Learning
- Implementing Machine Learning pipelines with Amazon SageMaker
- Introducing Forecasting
- Introducing Computer Vision
- Introducing Natural Language Processing
2. Huawei - HCIA AI
Empower Your AI Journey
with Huawei’s Comprehensive Certification Program
The HCIA-AIV3.0
Training Material is a meticulously designed learning program for
professionals and enthusiasts aiming to master artificial intelligence (AI)
fundamentals, Huawei’s cutting-edge AI technologies, and real-world
applications. This course provides a structured pathway from foundational AI
concepts to advanced technical skills, enriched with Huawei’s proprietary tools
and industry insights.
Key
Features
- End-to-End
AI Knowledge
- Foundations:
Understand AI basics, history, technical fields (computer vision, NLP,
robotics), and ethical debates.
- Advanced
Topics: Dive into machine learning (linear regression, SVM, decision
trees) and deep learning (neural networks, CNNs, RNNs).
- Future
Trends: Explore AI’s role in smart cities, healthcare, autonomous
driving, and emerging technologies like federated learning.
- Huawei-Centric
Expertise
- Full-Stack
AI Tools: Gain hands-on experience with Huawei’s ecosystem,
including ModelArts (AI development
platform), MindSpore (AI framework), and Ascend
processors (high-performance AI chips).
- Industry
Applications: Learn to deploy AI in retail (unmanned stores), healthcare
(diagnostic robots), and IoT-driven smart homes.
- Practical
Learning
- Case
Studies & Quizzes: Reinforce knowledge with real-world scenarios
(e.g., rainforest protection using AI) and self-assessment tools.
- Labs
& Tools: Experiment with Huawei’s Atlas AI computing
platform and optimize models using techniques like gradient descent
and regularization.
- Certification
Readiness
- Aligned
with Huawei HCIA-AI Certification, this material prepares you to
excel in Huawei’s official exam, validating your skills in AI theory,
Huawei technologies, and solution design.
- Ethical
and Strategic Insights
- Tackle
AI disputes (job displacement, data privacy) and explore Huawei’s
full-scenario AI strategy for public cloud, edge computing, and
industrial IoT.
3. IT Speacialist - Python Certification
Candidates for this exam will demonstrate that they can recognize, write, and debug Python code that will logically solve a problem.
Curriculum Highlights
1.Operations using Data Types and Operators
· Evaluate expressions to identify the data types Python assigns to variables
· Perform data and data type operations
· Determine the sequence of execution based on operator precedence
· Select operators to achieve the intended results
2.Flow Control with Decisions and Loops
· Construct and analyze code segments that use branching statements
· Construct and analyze code segments that perform iteration
3.Input and Output Operations
· Construct and analyze code segments that perform file input and output operations
· Construct and analyze code segments that perform console input and output operations
4.Code Documentation and Structure
· Document code segments
· Construct and analyze code segments that include function definitions
5.Troubleshooting and Error Handling
· Analyze, detect, and fix code segments that have errors
· Analyze and construct code segments that handle exceptions
· Perform unit testing
6.Operations using Modules and Tools
· Perform basic operations by using built-in modules
· Solve complex computing problems by using built-in modules
