- +65 8931 8934
- hello@cloudenabled.sg
- India, Singapore
Master AI Programming with Cloud Enabled
4.2
4.2/5
Price :
-
Category :
Management
Anil Bidari
Chief Consultant
At Cloud Enabled, our AI Programming Course equips you with hands-on experience in building AI models, developing machine learning algorithms, and deploying intelligent solutions using Python, TensorFlow, and more.
- Time Duration : 1 Day
- Study Lecture : 9 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW :
Why Choose Our AI Programming Course?
What You Will Learn in AI Programming Training
Who Should Enroll in the AI Programming Course?
Why Choose Our AI Programming Course?
✅ Industry-Relevant Curriculum – Covers AI fundamentals, deep learning, and NLP.
✅ Hands-On Projects – Build real-world AI applications.
✅ Expert-Led Training – Learn from experienced AI professionals.
✅ Flexible Learning Options – Online, classroom, and corporate training available.
✅ Certification & Career Support – Boost your career with AI programming expertise.
🚀 Start your AI programming journey today! Enroll Now!
What You Will Learn in AI Programming Training
Our AI Programming Course covers key AI development concepts, including:
- Introduction to AI & Machine Learning – Understanding AI algorithms and models.
- Python for AI Programming – Learn Python libraries such as NumPy, Pandas, and Scikit-learn.
- Neural Networks & Deep Learning – Build and train deep learning models with TensorFlow.
- Natural Language Processing (NLP) – Develop AI models for text analysis and chatbots.
- Computer Vision & Image Recognition – Train AI to analyze and classify images.
- AI Model Deployment – Learn how to deploy AI applications in the cloud.
📊 Master AI development – Sign Up Today!
Who Should Enroll in the AI Programming Course?
Our AI Programming Training is ideal for:
- Software Developers & Engineers
- Data Scientists & Analysts
- AI Enthusiasts & Researchers
- IT Professionals & Tech Startups
- Students & Graduates in Computer Science & AI
📌 No prior AI experience required! Start learning today.
AI Programming Course – Training Modes
Instructor-Led Online Training – Live sessions with real-time Q&A.
Corporate AI Programming Training – Custom training for businesses and teams.
Choose your learning mode & get started! Enroll Now!
Why Cloud Enabled for AI Programming Training?
- Leading AI Training Institute in Singapore.
- Expert AI & ML Instructors.
- Hands-On AI Development with Real-World Applications.
- Industry-Recognized AI Certification.
- Latest AI Programming Trends & Tools.
Modes of Learning – Complete Curriculum
Registration and Welcome Breakfast
Introduction to Generative AI
- Definition and significance of Generative AI.
- Overview of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models.
- Applications and potential of Generative AI.
Introduction to AWS Cloud
- Overview of Amazon Web Services (AWS).
- Highlight of AWS's AI & Machine Learning services.
Hands-on Lab 1: Setting up AWS for Generative AI Workloads
- Creating an AWS account and setting up IAM roles.
- Introduction to Amazon SageMaker and its relevance to AI/ML.
- Initial configuration for generative AI workloads.
Morning Break
Dive into AWS Generative AI Tools
- DeepComposer: Generative AI for music.
- DeepRacer: Reinforcement learning models.
- Overview of SageMaker's capabilities for custom generative models.
Hands-on Lab 2: Exploring Deep Composer
- Setting up DeepComposer.
- Training a generative model for music generation.
- Evaluating and fine-tuning the model's outputs.
Lunch Break
Advanced Generative AI with SageMaker
- Benefits of using SageMaker for generative AI tasks.
- Integrating other AWS services (like S3) with SageMaker for data management.
- Custom generative model training and deployment.
Hands-on Lab 3: Training a GAN with SageMaker
- Setting up the SageMaker environment.
- Preparing datasets and training a GAN model.
- Visualizing and interpreting generated samples.
Afternoon Break
Challenges and Solutions in Generative AI on AWS
- Addressing common issues: mode collapse, training instability, etc.
- AWS tools and resources for troubleshooting.
- Best practices for model optimization and performance.
Hands-on Lab 4: Fine-tuning and Deployment
- Advanced techniques for improving generative model outputs.
- Deploying the trained model for real-time generation tasks.
- Scaling and managing generative AI solutions on AWS.
Q&A, Feedback, and Closing Remarks
End of Training
This course aims to provide a comprehensive insight into Generative AI on AWS. Ensure to adjust pacing based on the participants' prior knowledge and always incorporate feedback after each hands-on lab to gauge understanding and make necessary adjustments.
- Interactive instructor-led sessions
- Hands-on learning experience
Let's Enroll Our Course !!
Join the Best AI Finance Courses Whether you’re looking to upskill or start a new career in AI, Cloud Enabled has the right program for you.
