🔥 Artificial Intelligence Full Course 2024 | AI Tutorial For Beginners |AI Full Course| Simplilearn

🔥 Artificial Intelligence Full Course 2024 by simplilearn is dedicated to help aspiring Atrificial intelligence and Machine Learning engineers about the AI and ML fundamentals through this AI Tutorial For Beginners.

🔍 Course Overview:

🧠 Foundations of AI: Understand the fundamentals of artificial intelligence, machine learning, and deep learning.
🤖 Algorithms and Models: Explore popular AI algorithms and models, including neural networks, decision trees, and more.
📊 Data Processing: Learn the importance of data in AI and discover techniques for data preprocessing and cleaning.
💻 Programming in AI: Dive into practical coding exercises using Python, the go-to language for AI development.
🌐 AI Applications: Explore real-world applications of AI in industries such as healthcare, finance, and autonomous systems.
🌐 Ethical Considerations: Delve into the ethical implications of AI and responsible AI development practices.

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…


🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - [phone]

[georgeacquah]

I'm requesting for the companies data

[Eng.M.Mustafa]

1. Maths (LINEAR ALGEBRA) IMP (lectures 1 to 45 and 4 is covered.)
2. Statistics and Probibality little bit Done(Revision before job interview)
3. Programming Done(Revision before job interview)
4. DSA(Linear searh & Grapg Algorithms & )(Its impoetant to cover its not possible
to cover in future)
5. Supervised Learning (? at 8/11/23) half done
6. Unsupervised Learing
7. Reinforcement Learing (Computer learning by doing & Its Gain Experence)
8. Libraries (almost done)
8. Depp learning (You can apply for job after that)
9. Neural network
10. NLP
11. Transformers Architecture(IMP)
12. Generative Per-Trained Transforme.



Kindly create a video on ml & dl road map according to new scenario of 2024 which things we have to skip and which things we have to cover on our priority.