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(5 Ratings)

Generative AI Certificate Program

By Studyopedia Categories: Generative AI
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About Course

Generative AI is a subset of Deep Learning. It uses AI neural networks and can process both the labeled and unlabeled data using supervised, unsupervised, and semi-supervised methods. It refers to a class of artificial intelligence models and algorithms designed to create new content. These models can generate text, images, music, and other forms of data that mimic human-created content.

What you’ll learn

  • Learn Generative AI from scratch.
  • Get a quick overview of Generative AI
  • Learn about Generative AI techniques and approaches
  • What is a Transformer Model
  • Learn about Large Language Models
  • Generative AI Applications
  • Generative AI Challenges
  • AI Chatbots Models with examples
  • Generative AI – Overview
  • OpenAI ChatGPT
  • Google Gemini
  • Generative AI – Advanced Concepts
  • Run LLMs locally with Ollama
  • Run LLMs locally with LM Studio
  • Work with HuggingFace and LangChain
  • Understand AI Ethics
  • Learn to create AI Agents
  • Scrape websites with MCP and AI

Who this course is for:

  • AI Beginners
  • Machine Learning Engineers
  • Sofware Developers
  • Programmers
  • Those who want to learn Generative AI and its models
  • Those who want to create AI Agents
  • Those who want to run LLMs locally
  • Those who want to understand the process of generating new content with Generative AI
  • Those who want to get a deep understanding of LangChain

 

Generative AI applications are built on top of large language models (LLMs) and foundation models. LLMs are deep learning models.

 

The Generative AI Certification includes ten courses with over 10 hours of learning:

 

  1. Getting Started with Generative AI
    Duration: 30 m
    Lessons: 11
  2. ChatGPT
    Duration: 1h 20 m
    Lessons: 18
  3. Google Gemini
    Duration: 1h 30 m
    Lessons: 24
  4. Generative AI – Advanced Concepts
    Duration: 45 m
    Lessons: 16
  5. Ollama
    Duration: 30 m
    Lessons: 11
  6. LM Studio
    Duration: 32 m
    Lessons: 15
  7. AI Ethics
    Duration: 1 hr 25 m
    Lessons: 12
  8. MCP
    Duration: 45 m
    Lessons: 8
  9. AI Agents
    Duration: 55 m
    Lessons: 8
  10. HuggingFace
    Duration: 1hr
    Lessons: 15
  11. LangChain
    Duration: 35 m
    Lessons: 13
  12. Google AI Studio
    Duration: 53 m
    Lessons: 27

 

Enroll and begin the journey of becoming an AI expert!

 

Get a QR-Code verified certificate after completing the course:

 

Generative AI Certificate of Completion

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What Will You Learn?

  • Overview of AI
  • Overview of Deep Learning
  • Generative AI
  • Prompt Engineering
  • Open AI ChatGPT
  • Google Gemini
  • Run LLMS locally
  • Create a customized ChatGPT-like model
  • Learn LangChain and HuggingFace
  • Create a Voice AI Agent
  • Perform web scraping with MCP, CURSOR, and AI

Course Content

Generative AI – Getting Started

  • Generative AI Getting Started
    30:29

ChatGPT

Google Gemini

Generative AI – Advanced Concepts

Ollama

LM Studio

AI Agents Tutorial
In this course, we will learn the fundamentals of AI Agents, exploring their components, architecture, and types. We will understand how AI Agents differ from Agentic AI, along with their advantages, disadvantages, and practical use cases. The course will also guide you through the process of creating your own AI Agent, including building a Voice AI Agent as a Health Care Assistant. By the end, you will gain both conceptual clarity and hands-on knowledge to design intelligent agents.

MCP Tutorial
In this course, we will learn the fundamentals of Model Context Protocol (MCP) and the problems it is designed to solve. We will compare MCP with the traditional API approach, highlighting its unique benefits for AI development. The course will also cover real-world use cases where MCP is applied effectively. Next, we will explore MCP architecture, including servers, clients, transports, and the difference between standard and custom servers. Finally, we will walk through a live running example by building with an existing MCP server using Cursor.

AI Ethics Tutorial
This course introduces the foundations of AI ethics and why ethical thinking matters in a rapidly evolving technological world. You’ll explore core principles, examine how bias emerges, and grapple with the challenges of transparency and trust. Together we look at how AI reshapes work, power, and society, from everyday tools to high‑stakes systems. Real‑world case studies reveal how ethical decisions unfold inside major companies and public institutions. By the end, you’ll be ready to critically evaluate AI systems and contribute to building technology that serves people and protects society.

Hugging Face Tutorial
In this video course, learn Hugging Face and its concepts.Hugging Face is a company and open-source community that focuses on natural language processing (NLP) and artificial intelligence (AI). It is best known for its Transformers library, which provides tools and pre-trained models for a wide range of NLP tasks, such as text classification, sentiment analysis, machine translation, and more.

LangChain Tutorial
In this video course, learn LangChain and its concepts. LangChain is a framework designed to build applications powered by large language models (LLMs). It provides tools and abstractions to make it easier to integrate LLMs into applications, enabling tasks like question answering, text generation, retrieval-augmented generation (RAG), chatbots, and more.

Google AI Studio Tutorial
In this video course, learn Google AI Studio and its concepts. Google AI Studio is a browser-based IDE that helps users experiment with generative AI models. With a user-friendly interface, Google AI Studio simplifies the complexities of AI development. Easily write prompts, compare AI models, generate codes, and use the prompt gallery to get the exact prompts directly. Read and scan images and videos with ease. With that, record audio and ask the AI model to get responses. Use the Stream Realtime feature to talk to Gemini, share your webcam, and share your screen to get immediate responses and feedback. Tune a model, set the safety settings, get the code, and open it directly with Google Colab. Also, enable Google Search while writing a prompt, and set safety settings for the prompt responses.

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Student Ratings & Reviews

5.0
Total 5 Ratings
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5 Ratings
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AK
ansh kataria
1 week ago
Good. Learned a lot.
SP
Sagarika Pendyala
2 weeks ago
The course went well, very knowledgeable, Amit Sir taught it so well Iam very thankful to him.
CK
Chandan Kumar
2 weeks ago
Very new, interesting, and engaging throughout the session
AS
Achir Saxena
2 weeks ago
This is an excellent course for anyone who wants to learn Generative AI from zero knowledge to an advanced level. The concepts are explained clearly and progressively, making it easy to follow even for beginners. I would definitely recommend this course to anyone interested in becoming an LLM Engineer.
SV
S Vishal
3 weeks ago
Got to learn a lot of concepts related to GenAI, including Langchain, Google AI Studio, Ollama, LM Studio,AI Agent, MCP, and others. This 10-hours course is recommened.

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