- +65 8931 8934
- hello@cloudenabled.sg
- India, Singapore
Gen AI For Developers
Training in Singapore
Price :
1050 SGD (40 yrs and above) 1750 SGD ( 21 yrs and above) 3500 SGD (Before Funding)
Category :
Artificial Intelligence
Anil Bidari
Chief Consultant
About Trainer :
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
Linkedin Profile – https://www.linkedin.com/in/anil-bidari-2b139664/
- Time Duration : 40 Hours - 5 Day
- Study Lecture : 10 Modules
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online or Live Instructor Led training
OVERVIEW :
COURSE DESCRIPTION
COURSE OBJECTIVE
COURSE DURATION
FUNDING & PRICING
REGISTER NOW
WALKIN ADDRESS
COURSE DESCRIPTION
The GenAI for Developers
course is designed to equip software developers, AI engineers, and data
scientists with the practical skills necessary to harness the power of
Generative AI. This course is structured to provide a
comprehensive learning pathway, starting with foundational Python programming
skills. Participants will progress through key machine learning concepts,
including supervised and unsupervised learning, as well as linear regression.
Building on this foundation, learners will dive into Generative AI concepts,
exploring topics such as prompt engineering, Natural Language Processing (NLP),
and the development of GenAI applications. The course also covers programmatic
API access to Large Language Models (LLMs), chatbot development, and the
fine-tuning of LLMs, utilizing tools like Hugging Face and LangChain through
hands-on exercises and real-world applications.
GenAI Developer Training in Singapore
SSG funded GenAI course in Singapore
Course Code: TPG-2024070869
Skills Framework: Artificial Intelligence Application in Product Development ICT-TEM-4034-1.1
TSC under ICT Skills Framework
COURSE OBJECTIVE
What Will you Learn ?
- By end of this course , learners will be able to Python Programming: Gain proficiency in Python,
focusing on key concepts such as data types, functions, and file handling. - Machine Learning Basics: Understand supervised and unsupervised learning, and implement linear regression models.
- Generative AI Concepts: Explore foundational GenAI models such as GPT, GANs, and VAEs.
- Prompt Engineering: Master the art of crafting effective prompts to optimize AI outputs.
- Natural Language Processing (NLP): Learn how to process and analyze text using NLP techniques.
- Developing GenAI Applications: Build GenAI-powered applications, including chatbots and other AI-driven tools.
- Programmatic API Access to LLMs: Programmatically interact with Large Language Models (LLMs) via APIs for various use cases.
- Chatbot Development: Create and deploy chatbots using state-of-the-art AI tools.
- Fine-Tuning LLMs: Learn how to fine-tune LLMs for specific tasks and applications.
- Hugging Face & LangChain: Work hands-on with Hugging Face and LangChain for building and optimizing AI solutions.
- Cloud AI Tools: Get hands-on exposure to AI tools from AWS, Azure AI Hub, and Google Vertex AI with live demos by the trainer.
COURSE DURATION
Course Training Duration:
- Total Duration : 40 hours
- 10 hours classroom facilitation +
- 27 hours practical work +
- 3 hours assessment
FUNDING & PRICING
1050 SGD (40 yrs and above)
1750 SGD ( 21 yrs and above)
3500 SGD (Before Funding)
REGISTER NOW
Registration Link : https://forms.gle/YjLJXjKAQfyT9qLu7
Email : reach@www.cloudenabled.sg
Phone/Whatsapp : ( +65) 8931 8934
Minimum Entry Requirements Knowledge and Skills ➢ Able to operate using computer functions with minimum Computer Literacy ➢ Course will be delivered in English (Average of Reading, Listening, Speaking & Writing Scores of English mandatory).
WALKIN ADDRESS
Address : Cloud Enabled ( C/o Tertiary Infotech Pte Ltd ) 12 Woodland Square #07-85/86/87 Woods Square Tower 1, Singapore 737715 ,
Email : reach@www.cloudenabled.sg
Phone/Whatsapp : ( +65) 8931 8934
Course Outline
Module 1: Python Programming Essentials
- Introduction to Python: Variables, Data Types, Operators
- Python Data Structures: Lists, Tuples, Dictionaries
- Control Structures: Loops and Conditionals
- Functions and File Handling
- Hands-on Labs: Writing Python programs and solving real-world problems
Module 2: Machine Learning Foundations
- Supervised Learning: Linear Regression, Classification Models
- Unsupervised Learning: Clustering Techniques, Dimensionality Reduction
- Reinforcement Learning Overview
- Hands-on Labs: Implementing supervised and unsupervised learning algorithms using Python
Module 3: Introduction to Generative AI (GenAI)
- Overview of GenAI Models: GPT, GANs, VAEs
- Applications of GenAI: Image, Text, and Video Generation
- Ethics and Legal Considerations in AI
- Hands-on Labs: Basic GenAI model implementation
Module 4: Prompt Engineering
- Understanding Prompts: How prompts influence AI outputs
- Techniques for Effective Prompting: Optimizing queries for better AI responses
- Hands-on Labs: Crafting prompts for various GenAI applications
Module 5: Natural Language Processing (NLP)
- Introduction to NLP Concepts: Text processing and analysis
- NLP Tasks: Sentiment Analysis, Text Summarization, Named Entity Recognition
- Hands-on Labs: Applying NLP techniques for email spam filtering, text summarization
Module 6: Developing GenAI Applications
- Building AI-Powered Applications: Integration of GenAI into practical solutions
- Programmatic Access to LLMs: API access for OpenAI, Anthropic Claude, and others
- Chatbot Development: Creating interactive chatbots with GenAI
- Hands-on Labs: Developing chatbots and integrating GenAI solutions
Module 7: Large Language Models (LLMs)
- Introduction to LLMs: Understanding their architecture and applications
- Fine-Tuning LLMs: Techniques for customizing LLMs for specific use cases
- Hands-on Labs: Fine-tuning models with Hugging Face and evaluating performance
Module 8: LangChain and Advanced Tools
- LangChain Overview: Building complex applications using LangChain
- Integration of LangChain with Existing Systems
- Hands-on Labs: Developing advanced AI applications with LangChain
Module 9: Cloud-Based AI Tools
- AWS AI Tools Overview: Introduction to AWS Bedrock
- Azure AI Hub: Leveraging Azure AI Studio for AI deployment
- Google Vertex AI: Using Google Vertex for AI model management
- Trainer Demos: Live demonstrations of AI tools from AWS, Azure, and Google
Module 10 : Final Assessments
- Written Assessment (1 hours)
- Practical Assessment (3 hours)
Let's Enroll Our Course !!
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