AI is the Future
Boost Your Skills and Get Ahead
Best content
Eight Projects
Real World Skills
AI is no longer science fiction.
This course will show you what exactly AI is, how it works, and more importantly, how you can harness its power to make a difference!
By far, the greatest danger of Artificial Intelligence is that
Understanding AI in a Hands-On Way
- Learn essential AI concepts like machine learning, deep learning, and generative AI through real-world applications. Create generative AI apps like ChatGPT.
- Build a strong foundation with a practical, step-by-step approach. Discuss AI confidently with peers and professionals. Understand how models like ChatGPT and DALL-E work behind the scenes.
Create Real-World AI Applications
- Build AI apps like chatbots, image generators, or virtual assistants.
- Solve industry challenges with tailored AI solutions
- Impress employers by showcasing AI projects that solve business problems.
Streamline Your Work and Enhance Productivity
- Leverage AI to automate tasks and create efficient workflows.
- Master tools like TensorFlow, PyTorch, and LangChain.
- Optimize areas like marketing, customer service, and supply chains.
- Automate repetitive tasks, freeing up time for innovation.
What you’ll learn on this course
Duration
16 weeks
Level
All Levels
Course Format
Live sessions,Videos, Quiz, Article
Study Method
Online and offline
01
OpenAI
LLM's and API's
Explore the transformative potential of OpenAI and its groundbreaking technologies like ChatGPT. Discover Large Language Models (LLMs) that drive human-like text generation for various applications. Learn how to seamlessly integrate AI functionalities using APIs, enhancing your development skills.
02
Langchain and LangGraph
Design and deploy AI agents
Dive into LangChain and LangGraph, key frameworks for building powerful AI applications. In this course, you’ll learn how to create AI agents that can interact with users, automate tasks, and make intelligent decisions. Gain hands-on experience in developing dynamic workflows and integrating AI into real-world scenarios. Join us to become a skilled AI agent developer and shape the future of intelligent systems!
03
Hugging Face
Run and deploy AI applications
Unlock the power of Hugging Face in our AI course, where we teach you how to deploy and test state-of-the-art machine learning models. You’ll learn practical techniques for deploying models to production and ensuring their performance through rigorous testing. Gain hands-on experience with tools that streamline the deployment process, making it easier to bring your AI solutions to life. Join us to master the skills needed for effective model management in the AI landscape!
04
Google Gemini API, Google speech to text api
Create AI apps using google LLM's
Explore the Google Gemini API and Google Speech-to-Text API as powerful tools for building intelligent applications. We teach you how to leverage Large Language Models (LLMs) to create AI-driven solutions that understand and respond to user input effectively. Gain hands-on experience in developing interactive applications, from chatbots to voice assistants, using cutting-edge APIs. Join us to transform your ideas into impactful AI apps!
05
Prompt Engineering
Learn and implement Prompt engineering techniques
06
Azure OpenAI, Gcp Vertex AI
Deploy AI apps on cloud
Join us and Become a part of this AI Revolution In the Future where AI controls us be the one who Controls AI
This course is for you
No prior AI or technical knowledge required. Ideal for individuals who want to add AI skills to their resume and stay ahead of the curve in their field.
The course will delve deeper into the concepts, offering a more challenging and rewarding learning experience. The course will provide practical skills and resources to experiment with AI tools and applications.
Focus on how AI can be applied to improve business processes, marketing, and decision-making. How AI can transform your organization and gain a competitive edge in the future.
A great starting point to explore different AI specializations and gain a solid foundation, looking to harness the power of AI for your projects.
Basic Projects You would work on
Build an AI tutor using OpenAI’s models to provide personalized, interactive, real-time learning experiences through intelligent, human-like conversations.
Create a video summarizer app using LangChain, OpenAI, and Whisper to generate concise, accurate summaries from video content through AI.
Develop a Shop Assist app using OpenAI, LangChain, and Hugging Face to deliver real-time, personalized shopping assistance with AI-powered recommendations and product insights.
BYOP (Bring Your Own Project) empowers students to design and build their own apps using tools like OpenAI and LangChain, fostering creativity, innovation, and practical application of AI technologies.
Advanced Projects you would Work on
Create an AI Agent using LangGraph that autonomously performs tasks, leverages large language models, and integrates various tools to solve complex problems intelligently.
Develop a personal speech-to-text assistant using Google’s Speech-to-Text API, similar to Alexa or Siri, offering real-time transcription and voice-controlled features..
Build custom chatbots using OpenAI and LangChain to deliver personalized, context-aware conversational experiences for various applications, enhancing customer interaction and support.
BYOP (Bring Your Own Project) empowers students to design and build their own apps using tools like OpenAI and LangChain, fostering creativity, innovation, and practical application of AI technologies.
Listen to real people, real results
Hello, I am Sateesh Pabbathi
My Story
My story is one fueled by a deep passion for unraveling the mysteries of AI, leading me to contribute to groundbreaking research and advancements in the industry.
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Beyond the classroom, I am a thought leader, continually pushing the boundaries of AI research. My dedication to ethical AI development and a forward-thinking approach sets the stage for you not only to understand the technology but also to contribute to its responsible and innovative growth.
Companies I worked with
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Starting at
Feb 15 2024
Price
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What is covered in webinar ?
Topics Covered OpenAI and a simple AI project deployment
By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.
Find the answers to your questions here
What topics are covered in the generative AI course?
The course includes essential topics such as OpenAI technologies, Large Language Models (LLMs), prompt engineering, Azure OpenAI, GCP Vertex AI, Hugging Face, and more. You’ll learn how to create AI applications and integrate APIs effectively
Do I need prior experience in AI to enroll in this course?
While prior experience can be helpful, it’s not required. Our course is designed for all skill levels, and we provide foundational knowledge to ensure you can follow along and develop your skills.
What practical skills will I gain from this course?
You’ll gain hands-on experience in deploying and testing AI models, creating AI applications using LLMs, and implementing effective prompt engineering techniques. You’ll also learn how to use key APIs, such as Google Speech-to-Text and Hugging Face.
How is the course delivered?
The course is delivered through a combination of video lectures, interactive assignments, and live coding sessions. You’ll have access to a learning management system where you can track your progress and engage with fellow learners.
Will I receive any certification upon completion?
Yes, upon successfully completing the course, you will receive a certificate of completion that you can showcase on your resume or LinkedIn profile.
Are there any prerequisites for the course?
A basic understanding of programming concepts is beneficial, but we provide resources to help you get up to speed. Familiarity with Python will enhance your learning experience.
How long does the course last?
The course is designed to be completed in approximately 6-8 weeks, depending on your pace and the time you can dedicate each week.
What support is available if I have questions during the course?
You will have access to course instructors and a community forum where you can ask questions and share insights with your peers. We’re here to support you throughout your learning journey!