What’s the difference between this course and a general AI course?

This course specifically focuses on Generative AI, where you will learn to create content such as text, images, and music using AI models. Unlike broader AI courses, this one dive deep into techniques like GANs and GPT, which are at the cutting edge of AI creativity.

Is this course suitable for someone with no AI experience?

Yes! The course is designed to take you from the basics of AI to advanced generative models. You don’t need any prior experience in AI or coding, as we guide you step-by-step through the learning process.

Will this course help me build real-world projects that I can show to employers?

Absolutely! you will work on several real-world projects like AI-generated images, text generation, and even AI-powered chatbots. These projects are great for building a portfolio that will impress potential employers and show your hands-on skills.

How do generative AI models impact industries like entertainment or healthcare?

Generative AI is revolutionizing industries! In entertainment, it’s used to create realistic visual effects, music, and virtual characters. In healthcare, it’s helping with personalized treatments, generating synthetic medical data, and even automating medical imaging tasks. This course helps you understand and create these applications.

How will this course help me stay ahead of the competition in the AI job market?

This course equips you with specialized knowledge in Generative AI, a niche but growing field. Many companies are actively seeking professionals with expertise in creating AI-driven content, and with the skills learned here, you will be able to create highly innovative solutions and stand out in the job market.

Home /Generative & Agentic AI/ Generative AI Course in Canada

Join the Generative AI Course in Canada and learn from experts to become a skilled IT professional recognized worldwide.

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Are you fascinated by how machines can create text, images, and even music The Generative AI course in Canada will help you understand how artificial intelligence (AI) can generate creative content. Whether its creating realistic images or writing human-like text, you will learn how to build AI models that can do it all. Canada is known for its advanced tech industry, and AI is one of the most exciting fields right now. By completing this course, you will learn how to train AI systems that generate content, and you will be ready to work with cutting-edge AI technologies.

Learn the Latest Technology: You will get to learn about cutting-edge AI tools like GANs (used for generating new images, videos, etc.) and other cool technologies that are shaping the future of AI.
High Job Demand: Many industries (like entertainment, healthcare, and tech) need experts who can use Generative AI to create new content. After completing this course, you'll have plenty of job opportunities.
Practical Hands-On Learning: The course includes projects where you will actually build AI models. You will work on creating things like AI-generated images and text, which will help you build a portfolio that employers will love.
Learn from the Best: Canada is a global leader in AI, so you'll be learning from top instructors who are experts in the field. The skills you gain will be highly respected worldwide.
Wide Career Opportunities: With the skills you gain, you can work in many different industries. Whether you want to work in media, healthcare, or technology, Generative AI skills are in demand everywhere.

This Generative AI Training in Canada will teach you the essential skills needed to work with AI that can create new content. Heres what you will learn:

Basics of AI: Understand what AI is and how machine learning models work, especially the ones used for generating content.

Generative Models: Learn about the advanced AI techniques like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) used to create new content.

Deep Learning: Get a hands-on understanding of deep learning and how its used in generative AI models.

Text Generation with GPT: Learn how AI systems like GPT (Generative Pre-trained Transformers) can create human-like text and understand language.

Image Creation with GANs: Discover how GANs can generate images that look incredibly realistic, and learn how to train these models.

AI Ethics: Understand how to avoid biases and ensure that AI is being used ethically in your projects.

AI Tools: Learn to work with tools like TensorFlow, PyTorch, and Hugging Face to build your own AI systems.

Starting Salary Range: C$104,000 per year. annually.
In Indian Rupees: 64,392,000 (around 64.39 lakhs INR) per year.

After completing the Generative AI course in Canada, you will have many career opportunities. Heres what to expect:

Entry-Level Jobs: Start as an AI Developer or Machine Learning Engineer, where you will help build and train AI models for text, images, or other creative tasks.

Mid-Level Roles: With some experience, you can become an AI Researcher, Generative AI Specialist, or AI Solutions Architect, where you will work on more complex AI systems.

Leadership Roles: After gaining experience, you could move into leadership roles like AI Product Manager or Director of AI Development, overseeing teams and projects.

Generative AI is changing industries, and this course is growing in popularity. Heres why its so valuable:

AI Is the Future: AI is everywhere, from tech to healthcare. This course prepares you to work in one of the fastest-growing fields.

High Earning Potential: AI experts are in high demand and the salary potential is excellent.

International Recognition: A certification from Canada is recognized globally, giving you opportunities in Canada and beyond.

Versatility Across Industries: AI is used in many sectors like healthcare, entertainment, and e-commerce, so you will have a wide range of job opportunities.

Here are some roles you can pursue after completing your Generative AI course in Canada:

AI Engineer: Work on developing and implementing AI models that generate creative content like images and text.

Machine Learning Engineer: Focus on creating algorithms that allow machines to learn from data and generate content.

Data Scientist: Use data to train AI models and help businesses make informed decisions.

Generative AI Researcher: Conduct research to improve existing AI models and explore new ways to use generative AI.

AI Product Manager: Oversee AI projects and help guide teams to create AI products that meet business needs.

Generative AI is in demand across various sectors. Some of the top industries hiring AI talent include:

Tech & IT Companies: Tech firms need AI experts to improve their software, apps, and other products.

Healthcare: AI is used to develop personalized treatment plans and improve patient care.

Entertainment & Media: AI can help generate content like music, videos, and virtual reality experiences.

Finance & Banking: AI models are used to predict market trends, assess risks, and help with financial decision-making.

E-Commerce: AI is used for personalized recommendations, customer insights, and optimizing inventory.

In this course, you will get practical experience with the following AI tools:

TensorFlow: A popular tool for building and training machine learning models.

PyTorch: A framework used for creating deep learning models.

Hugging Face: A platform for using pre-trained models for text generation and NLP tasks.

Keras: A simple and fast deep learning framework built on top of TensorFlow.

OpenAI GPT: Learn how to use GPT models for generating text and understanding language.

GANs: Understand how Generative Adversarial Networks are used to create realistic images and content.

This course includes hands-on projects to help you gain real-world experience:

Text Generation Project: Train AI models to generate text that sounds like a human wrote it, such as for chatbots or automated content.

Image Generation Project: Work with GANs to create images, such as artwork or realistic photos.

Creative AI Project: Build an AI system that generates creative content like music, stories, or poems.

AI Chatbot Project: Develop a chatbot powered by AI that can answer questions and interact with users.

These projects will help you build a strong portfolio that you can show to potential employers.

Upon completion of the Generative AI Training in Canada, you will receive a certification that proves your skills and helps boost your career.

You May Also Read:

Generative AI Course

Best Machine Learning Course

Artificial Intelligence Online Training

Deep Learning Course

Data Science Online Course

Python Course Online

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CURRICULUM & PROJECTS

Generative AI Training Program

What is a Large Language Model

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Encoders and Decoders

Model Ontology

Encoders

Decoders

Encoders-Decoders

Architectures at a glance

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Affecting the distribution over Vocabulary

Prompting

Prompt Engineering

In-context Learning and Few-shot Prompting

Example Prompts

Advanced Prompting Strategies

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Prompt Injection

Memorization

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Training

Hardware Costs

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Decoding

Greedy Decoding

Non-Deterministic Decoding

Temperature

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Hallucination

Groundedness and Attributability

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Retrieval Augmented Generation

Code Models

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OCI Generative AI Service

How does OCI Generative AI service work

Pretrained Foundational Models

Fine-tuning

Dedicated AI Clusters

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Tokens

Pretrained Chat Models

Chat Model Parameters

Preamble Override

Temperature

Chat Model Parameters

Top k

Top p

Frequency and Presence Penalties

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Embeddings

Word Embeddings

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Prompt & Prompt Engineering

LLMs as next word predictors

Aligning LLMs to follow instructions

In-context Learning and Few-shot Prompting

Prompt Formats

Advanced Prompting Strategies

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Training LLMs from scratch with my data

In-context Learning / Few-shot Prompting

Fine-tuning a pretrained model

Fine-tuning Benefits

Retrieval Augmented Generation (RAG)

Customize LLMs with your data

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Fine-tuning and Inference

Fine-tuning workflow in OCI Generative AI

Inference workflow in OCI Generative AI

Dedicated AI Clusters

T-Few Fine-tuning

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Dedicated AI Cluster Units

Dedicated AI Cluster Units Sizing

Dedicated AI Clusters Sizing

Example Pricing

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Fine-tuning Configuration

Fine-tuning Parameters (T-Few)

Understanding Fine-tuning Results

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Dedicated GPU and RDMA Network

Model Endpoints

Customer Data and Model Isolation

Generative AI leverages OCI Security Services

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Retrieval Augmented Generation

RAG Framework

RAG Techniques

RAG Pipeline

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Chatbot Introduction

Demo Chatbot

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Chatbot Architecture

OCI Generative AI and LangChain Integration

LangChain Components

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LangChain Prompt, Model and Chain Interaction

LangChain Prompt Templates

String Prompt Template and PromptValue

Chat Prompt Template and PromptValue

LangChain Models

LangChain Models OCI Chat Models

LangChain Models OCI Embedding Models

LangChain Chains

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LangChain Memory

Memory

Memory Chat Messages

LangChain Memory Per User

Demo Memory

Demo Streamlitand Memory

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RAG with LangChain

Retrieval Augmented Generation (RAG) with LangChain

Read and Split Documents

Embed documents and store in the vector database

Retrieve documents and send as a context to the LLM

Demo RAG - Indexing

Demo RAG - Retrieval and Generation

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RAG Plus Memory

Adding chat history as context

Print of Response

Demo RAG Plus Memory and Tracing with LangSmith

Demo Evaluate Model using LangSmith

Chatbot Technical Architecture

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Deploy Chatbot to OCI Compute Instance (Virtual Machine)

Demo Deploy Chatbot to VM

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Deploy LangChain Application to Data Science as Model

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