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Course Duration

50 Hrs.

Live Project

2 Project

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Generative AI

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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.

Generative AI Course

About-Us-Course

  • 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.

Why should you join Gen AI Course?

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we train you to get hired.

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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

    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

    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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+ More Lessons

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50 Hrs.
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Weekday1 Hr/Day
Weekend2 Hr/Day
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Students Placements & Reviews

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Vikash Singh Rana
Vikash Singh Rana
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Harikesh Panday
Harikesh Panday
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Mohammad Sar
Mohammad Sar
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Himanshi-Sharma
Himanshi-Sharma
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Deepanshu singh
Deepanshu singh
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Vani
Vani
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FAQ's

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

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

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

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

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

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