What does Generative AI entail?

Generative AI creates original content like images, text, or music—an extensive focus in these courses.

What prerequisites are needed for Generative AI courses?

Courses suit various levels, needing foundational AI and programming knowledge, but welcoming beginners.

Will I have access to course materials post-completion of a Generative AI course?

Yes, many courses offer continued access to comprehensive learning materials post-completion.

What career paths can I pursue after obtaining Generative AI certification?

Graduates explore roles as AI researchers, data scientists, or content creators in diverse AI-driven industries.

Is the Generative AI online course suitable for beginners in the field?

Absolutely! Courses cater to diverse levels, perfect for beginners entering the AI world.

What does Generative AI entail?

Generative AI creates original content like images, text, or music—an extensive focus in these courses.

What prerequisites are needed for Generative AI courses?

Courses suit various levels, needing foundational AI and programming knowledge, but welcoming beginners.

Will I have access to course materials post-completion of a Generative AI course?

Yes, many courses offer continued access to comprehensive learning materials post-completion.

What career paths can I pursue after obtaining Generative AI certification?

Graduates explore roles as AI researchers, data scientists, or content creators in diverse AI-driven industries.

Is the Generative AI online course suitable for beginners in the field?

Absolutely! Courses cater to diverse levels, perfect for beginners entering the AI world.

Generative AI Certification Course Online with Placement

Name: Generative AI Training Program
Item: Generative AI Training Program
Rating: 4.90

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Learn Generative AI concepts from experts and become an efficient IT enthusiast worldwide.

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Start an exciting learning adventure exploring Generative AI, blending creativity with advanced tech. This Generative AI course dives into the basics, uses, and hands-on applications of Generative AI. It's for anyonenewbies or proseager to grow their skills in this field.
Key Features for Generative AI online course:

Comprehensive Curriculum: Explore a well-structured curriculum covering foundational theories and hands-on application modules.

Practical Application: Dive into real-world case studies and projects, applying learned concepts to solve complex problems.

Expert Guidance: Benefit from industry experts' insights and mentorship, providing invaluable guidance throughout the course.

Innovative Learning Resources: Access a rich repository of resources, including video lectures, interactive sessions, and supplementary materials.

Who Can Enroll in Generative AI Courses:

AI Enthusiasts: Eager to delve into the innovative domain of Generative AI and expand their knowledge base.

AI Professionals: Seeking to enhance their skills and delve deeper into Generative AI for advanced career prospects.

Tech Innovators: Passionate about integrating AI creatively into various sectors, from arts to technology.

Prerequisites for Generative AI Courses:

Artificial Intelligence Basics: Familiarity with AI concepts and principles is recommended.

Programming Fundamentals: Basic programming skills provide a solid foundation for grasping course content.

The objective of the Generative AI placement course is to deliver comprehensive training that is suitable to learn all the concepts from basic to the advanced level.

Thorough Understanding: Grasp core principles and methodologies of Generative AI.

Hands-on Application: Apply concepts to solve real-world problems innovatively.

Advanced Techniques Mastery: Proficiency in advanced Generative AI techniques and architectures.

Creative Integration: Implement Generative AI creatively across diverse domains.

Problem-Solving Skills: Develop robust problem-solving abilities within Generative AI contexts.

Ethical Usage: Understand ethical implications, ensuring responsible Generative AI application.

Project Development: Engage in practical projects for real-life Generative AI model building.

These objectives aim to equip learners comprehensively, empowering them to apply Generative AI effectively and innovatively across varied industry landscapes.

Upon completion of Generative AI Courses, professionals can anticipate varying salary ranges based on experience, job roles, and geographic location. Entry-level positions, such as AI Specialists or Junior Data Scientists proficient in Generative AI, generally offer annual salaries ranging from $80,000 to $120,000. Senior roles, like AI Researchers or Lead Data Scientists specializing in Generative AI applications, can command over $150,000 per annum.
These figures may fluctuate based on the industry demand for Generative AI expertise and the specific roles undertaken post-course completion. The specialized skills acquired from Generative AI courses significantly enhance career prospects and elevate earning potential within the expansive field of AI and machine learning.

Upon completing Generative AI Courses, professionals step into a domain with high demand for their specialized skills. Industries across technology, healthcare, finance, and entertainment seek experts in Generative AI, offering attractive salaries and enticing job roles. The scarcity of skilled individuals in this field amplifies the opportunities for career advancement, innovative project involvement, and competitive compensation packages.
Career Growth Highlights:

High Demand: Industries seek professionals proficient in Generative AI due to its expanding applications.

Lucrative Salaries: Competitive compensation packages are offered for roles demanding Generative AI skills.

Diverse Job Roles: Opportunities span across AI research, data science, creative technology, and consultancy.

Innovative Projects: Engage in groundbreaking projects leveraging Generative AI for unique solutions.

Entering this field not only promises attractive remuneration but also offers diverse career paths and the chance to contribute to cutting-edge innovations in AI applications. You may also apply for generative AI certification and get hired by top industries worldwide.

There are many reasons why generative AI is so popular and so the Generative AI courses and Generative AI certification.

Creative Potential: Innovates across artistic domains.

Versatility: Adaptable across industries.

Innovative Solutions: Enhances user experiences.

Open-Source Availability: Encourages collaboration.

Business Applications: Drives personalized experiences.

Advancements in Research: Continually pushes boundaries.

This blend of creativity, adaptability, and practical applications fuels Generative AI's widespread appeal among tech enthusiasts and industries seeking innovative solutions.

Upon completing Generative AI courses, individuals can explore diverse job roles in burgeoning fields such as:

Generative AI Researcher: Pioneering advancements in AI technology.

AI Solutions Architect: Designing innovative AI-driven solutions.

Creative AI Developer: Implementing AI in artistic domains.

AI Consultant: Offering expert guidance on AI integration.

AI Data Scientist: Analyzing and interpreting AI-generated data.

AI Project Manager: Overseeing AI-driven projects.

AI Content Creator: Generating creative content using AI.

These roles span various industries, offering opportunities to contribute innovatively and drive advancements in AI technology.

Industries seeking Generative AI expertise include:

Technology: Innovating AI-driven products and solutions.

Marketing and Advertising: Leveraging AI for personalized campaigns.

Entertainment: Enhancing user experiences through AI-generated content.

Healthcare: Utilizing AI for predictive diagnostics and research.

Art and Design: Integrating AI into creative projects and digital art.

Participants receive a recognized certification validating their proficiency in Generative AI, enhancing career prospects in AI-driven industries. Also, you may apply for Generative AI certification to validate your skills by top industries in the global market.

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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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