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🚀 The wait is over!
Welcome to the Complete Artificial Intelligence Course (Free) — your step-by-step guide to learning AI from scratch.
In this beginner-friendly course, you’ll explore how Artificial Intelligence works, understand key AI concepts, and learn to use the latest AI tools like ChatGPT, Gemini, DeepSeek, NotebookLM, and AI Agents to build real-world projects.

📘 What You’ll Learn:

. What is Artificial Intelligence & how it works
. Machine Learning vs Deep Learning
. AI Tools for productivity, content creation & coding
. AI Agents & Automation basics
. Real-world AI applications & projects
. Future of AI and career opportunities

Time Stamp
00:00 - Introduction
03:30 - AI Operators & AI Builders
07:00 - AI tools
07:02 - Note book LM
07:55 - Generating interview questions with AI
14:21 - Generating Social Media content
17:16 - Converting text data to video data
18:48 - Google Gemini
20:20 - Converting reports to insights
23:25 - Data Visualization through AI
27:48 - Using chat gpt as data analyst
30:54 - Data processing with AI
33:45 - Transforming data to graph
37:27 - Prompt writing technique for better output
41:50 - Manus AI
42:00 - Difference between Chat gpt and Manus AI
48:12 - Making Website through AI Agent
55:17 - Deepseek AI
58:39 - Deep Seek advantage over chat gpt
58:26 - Model training behind deepseek
01:11:02 - Deepseek for writing codes
01:11:42 - Introduction to Generative & Agentic AI
01:13:48 - Generative AI growth in tech
01:15:20 - Prompt engineering in Gen AI
01:20:48 - Limitations of Gen AI
01:21:02 - Agentic AI
01:24:00 - Automation and Autonomous Workflows
01:25:22 - Agentic AI Systems
01:27:42 - chat gpt vs world's first AI agent Manus
01:32:30 - LLM, AI Workflows & AI Agents
01:36:24 - LLM Model Training
01:37:44 - Introduction to AI Workflow
01:42:08 - Architecture of AI Agents
01:58:41 - Working of AI workflows
02:00:14 - Types of AI Agent
02:01:08 - Single AI Agent
02:04:35 - Multi AI Agent
02:06:10 - Sequential Pattern
02:08:40 - Hierarchical Pattern
02:11:35 - Hybrid Pattern
02:12:32 - Parallel Pattern
02:13:19 - Asynchronous Pattern
02:14:25 - Types of AI Agents
02:15:27 - Simple Reflex AI Agent
02:16:36 - Model Based Reflex AI Agent
02:17:24 - Goal Based AI Agent
02:19:19 - Utility Based AI Agent
02:22:13 - Learning Based AI Agent
02:26:05 - Coding Assistant Agent:
02:27:15 - E-commerce and Product Research AI
02:28:49 - Healthcare Assistant
02:30:21 - Agentic applications
02:31:00 - Final Project for Building AI Agent for free
02:51:56 - Conclusion of AI course

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0:00 – Why freelancing in 7 days is possible
4:36 – Day 1: Choose your freelance lane (without overthinking)
10:35 – Day 2: Turn your skills into a client-ready freelance offer
17:49 – Day 3: Create a simple process that makes clients trust you
28:33 – Day 4: Build a portfolio (even if you have no clients)
35:36 – Day 5: Activate your network to get warm leads
41:46 – Day 6: Use job boards without wasting hours
50:07 – Day 7: Launch your social presence & start getting clients
57:04 – Closing Mindset Shift + Next Steps

AI Basics Beginner Tutorial

Get Ad-Free Training by becoming a member today!
https://www.youtube.com/channe....l/UCqyBfm_H9ugGirk1u

Join Learn Skills Daily for ad-free training, exams, certificates, and exclusive content:
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Exercise Files: https://tinyurl.com/4vacxze6

Learn with Amanda: https://www.betterworktraining.com/

Follow Amanda on LinkedIn: https://www.linkedin.com/in/amandavandenelzen/

50 AI Prompts for Work Productivity PDF: https://academy.betterworktrai....ning.com/50-ai-promp

Who it's for: This course is designed for complete beginners who are new to generative AI and want a practical, professional introduction to tools like ChatGPT, Microsoft Copilot, Gemini, Perplexity, and Claude. It is especially well suited for working professionals who want to understand how these tools can support everyday tasks, improve productivity, and deliver real value at work, while also learning how to use them safely, ethically, and with confidence.

What it is: Generative AI is a type of artificial intelligence that uses large language models to create new content based on the information it has been trained on, the prompts users provide, and the patterns it recognizes across that data. Generative AI is the technology behind tools like ChatGPT, Microsoft Copilot, Gemini, Perplexity, and Claude, which can help users write emails, do research, brainstorm ideas, learn new concepts, and even work with files, images, and spreadsheets.

What you'll learn: In this training, viewers will learn the fundamentals of generative AI, including what large language models are, how they work, what risks they carry, and how to use them responsibly. The course also teaches how to build stronger prompts using practical prompt-building blocks, explores common workplace use cases such as writing, research, learning, brainstorming, and thought partnership, and demonstrates how AI tools can analyze files, images, PDFs, and spreadsheets to support real-world business tasks more effectively

Start 0:00
Introduction 0:08
Tools 4:11
Outputs and Risks 10:57
Prompt Blocks 19:51
Use Cases 29:56
Practice - Wordsmithing 38:15
Practice - Researching and Brainstorming 48:03
Practice - Multimodal Capabilities 54:29
Conclusion 1:04:20

#chatgpt #generativeai #aitutorial

(C) 2026 Bomberry Productions
Any illegal reproduction of this content will result in immediate legal action.

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In this course, you will learn all about Prompt Engineering and how to work with AI models like GPT. Whether you're just starting out or looking to improve your skills, this course will guide you step by step. You’ll understand how to create effective prompts that help AI understand your questions and provide better answers. We’ll cover everything from the basics to more advanced techniques, with real examples and demos to help you practice. By the end of the course, you'll be able to use prompts to unlock the full potential of AI.

00:00:00 - Introduction To Prompt Engineering Full Course 2026
00:03:08 - Prompt engineering fundamentals
00:24:50 - Prompt engineering with GPT-4
01:20:10 - Vibe coding tools comparison
01:29:31 - Context engineering explained
01:44:45 - Generative AI learning roadmap
01:50:40 - Multimodal prompting deep dive
02:11:12 - Generative AI foundations
02:23:32 - Prompting with generative AI tools
02:37:40 - AI for research and content
03:01:36 - Data insights and AI workflows
03:24:37 - Google Nano Banana demos
03:36:24 - Claude Code in the terminal
03:50:47 - Gemini CLI versus Claude Code
04:06:56 - ChatGPT for programming basics
04:15:47 - ChatGPT attempts LeetCode problems
05:42:08 - Google Flow video creation
06:24:47 - GitHub Copilot agent mode
06:35:39 - Prompt library foundations
06:50:40 - Reasoning with o1 models
07:52:04 - React e-commerce app with ChatGPT
08:24:10 - Prompt tuning overview
08:36:26 - Prompt library recap
08:50:37 - No-code AI workflow tools

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➡️ About Professional Certificate Course in Generative AI and Machine Learning

The Generative AI and Machine Learning course enriches your career with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it features live virtual sessions, projects with integrated labs, and masterclasses by eminent IIT Kanpur faculty.

Key Features

✅ Program completion certificate from E&ICT Academy, IIT Kanpur
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Curriculum delivered in live virtual classroom sessions by seasoned industry experts
✅ Interactive live-virtual masterclasses presented by esteemed IIT Kanpur faculty
✅ Practical learning through 15+ hands-on projects and industry relevant tools
✅ Access to a wide array of AI tools such as ChatGPT, DALL-E 2, TensorFlow, Keras, and more
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Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with Keras and TensorFlow
✅ Essentials of GenAI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ Large Language Models
✅ Generative AI Architectures
✅ Generative AI Models
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition
✅ Supervised and Unsupervised Learning

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⭐️ Full LLM/Prompt Engineering Course: https://www.skool.com/ai-foundations

Learning prompt engineering is one of those fundamental skills you CAN'T skip over when beginning your learning journey of using AI. If you want to build cool things like agents and automations, you must take a step back and learn from the basics up.

Free SMART goals resource:
https://docs.google.com/docume....nt/d/1W3AMbSV-_WrOza

--------------------

⌚Chapters:
0:00 - Prompt Engineering Importance
0:52 - Best way to learn AI
1:55 - What is a prompt?
2:51 - Defining a clear goal
5:18 - SMART goals table
7:38 - Creating roles for goals
10:45 - Context provision
16:00 - Action specification
18:42 - Output formatting
20:00 - The result
23:07 - Templatize your prompts
26:12 - Backend instructions
28:50 - Join AI Foundations

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In this video, you'll learn everything you need to know about prompt engineering. I'll explain what it is, why it's important, how to do it faster. The top techniques and methods and advanced strategies to get the most out of loops.

Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter

🎞 Video Resources 🎞
Get the markdown file in this video: https://newsletter.techwithtim.net/prompting

⏳ Timestamps ⏳
00:00 | Intro
01:44 | What is Prompt Engineering
04:07 | How to Prompt Faster
07:05 | How LLMs "Think"
10:40 | Steering vs Commanding
11:53 | Be Specific & Set the Scene
14:32 | Few-Shot Prompting
18:10 | Chain of Thought
20:05 | Structured Output
22:04 | Constraints & Negatives
24:19 | Iterative Refinement
25:22 | Interview Style Prompting
29:13 | Advanced Techniques & Parameters
35:04 | Common Mistakes

Hashtags
#llms #aiprompts #softwareengineer uae Media License Number: 3635141

Python Course By Saumya Singh ( Chapter 2 - Data Types & Operators in Python )

I’m Saumya Singh, a Software Engineer with 5+ years of industry experience and a passion for teaching. Alongside my job, I’ve been creating educational content to help students and professionals grow in tech.

In this complete Python course, we’ll learn Beginner to Advanced concepts along with AI & Machine Learning to make you job-ready in 2026 and beyond.

This is just the beginning - we’ll continue bringing more tutorials, projects, and career-focused guidance for our amazing subscribers! 💙

Notes - https://docs.google.com/docume....nt/d/1XlflmS-Oo6M_vn
Code - https://github.com/saumya1sing....h/Python_Course_By_S

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The AI Full Course 2025 By Simplilearn begins with an introduction to AI and a complete AI Engineer Roadmap for 2026. Learners then explore Reinforcement Learning, followed by the foundations of Deep Learning, Recurrent Neural Networks, and a Neural Network tutorial. The course provides hands-on practice with building LLM chatbots, creating an AI Clone, and even developing an iOS App powered by AI. Advanced topics include AI Bias, Multimodal AI, and Transformers in AI, equipping learners with cutting-edge knowledge. To strengthen skills, the course includes AI Projects, a guide on the Top 10 AI skills to earn in 2025, and concludes with Machine Learning interview questions and answers to prepare learners for career opportunities.

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00:00:00 - Introduction to Artificial Intelligence Full Course 2025
00:03:00 - Introduction to AI
00:22:06 - What is Deep learning
01:06:59 - Mathematics for machine learning
02:57:23 - AI Engineer Roadmap
03:06:42 - Reinforcement Learning
06:24:39 - Recurrent Neural Network
08:28:54 - Neural Network Tutorial
09:22:02 - Create LLM Chatbots full demo
10:03:57 - How to create AI Clone
10:14:50 - Transformers in AI
10:22:08 - AI Projects for Beginners

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➡️ About Professional Certificate in AI and Machine Learning

Build expertise in AI, ML, and Generative AI with hands-on Python, Deep Learning, and Agentic Frameworks training. Gain real-world experience through projects and develop high-demand skills like AI automation, LLM proficiency, and machine learning. Stay ahead in the AI revolution and future-proof your career—start your journey today!

Key Features
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✅ Live-online masterclasses delivered by Industry Expert and staff and IBM experts
✅ Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
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✅ 3 capstones and 15+ hands-on projects from various industry domains.
✅
✅ Exclusive hackathons and Ask Me Anything sessions by IBM

Learning Path
✅ PC AIML - Program Induction
✅ PC AIML: Programming Refresher
✅ PC AIML - Applied Data Science with Python
✅ PC AIML - Machine Learning
✅ PC AIML - Deep Learning Specialization
✅ PC AIML - Generative AI Literacy
✅ PC AIML - Generative AI Essentials by IBM
✅ PC AIML - Foundation Models and Generative AI Platforms by IBM
✅ PC AIML Capstone
Electives:
✅ Academic Masterclass
✅ Industry Masterclass by IBM
✅ PC AIML - NLP and Speech Recognition
✅ PC AIML - Advanced Generative AI
✅ PC AIML - Prompt Engineering Essentials by IBM
✅ PC AIML - Agentic AI Masterclass

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Conversational AI
✅ Large Language Models
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Speech Recognition
✅ Machine Learning Algorithms
✅ Agentic Frameworks

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Whatever your current skill level, this course will help you become an AI power user.

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This Edureka video on *Artificial Intelligence Full Course* will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. The following topics are covered in this Artificial Intelligence Full Course:

00:00 Introduction to Artificial Intelligence Course
02:27 History Of AI
06:45 Demand For AI
08:46 What Is Artificial Intelligence?
09:50 AI Applications
16:49 Types Of AI
20:24 Programming Languages For AI
27:12 Introduction To Machine Learning
28:08 Need For Machine Learning
31:48 What Is Machine Learning?
34:13 Machine Learning Definitions
37:26 Machine Learning Process
49:13 Types Of Machine Learning
49:21 Supervised Learning
52:00 Unsupervised Learning
53:44 Reinforcement Learning
55:29 Supervised vs Unsupervised vs Reinforcement Learning
58:23 Types Of Problems Solved Using Machine Learning
1:04:49 Supervised Learning Algorithms
1:05:17 Linear Regression
1:11:20 Linear Regression Demo
1:26:36 Logistic Regression
1:35:36 Decision Tree
1:55:18 Random Forest
2:07:31 Naive Bayes
2:14:37 K Nearest Neighbour (KNN)
2:20:31 Support Vector Machine (SVM)
2:26:40 Demo (Classification Algorithms)
2:42:36 Unsupervised Learning Algorithms
2:42:45 K-means Clustering
2:50:49 Demo (Unsupervised Learning)
2:56:40 Reinforcement Learning
3:24:36 Demo (Reinforcement Learning)
3:31:41 AI vs Machine Learning vs Deep Learning
3:33:08 Limitations Of Machine Learning
3:36:32 Introduction To Deep Learning
3:38:36 How Deep Learning Works?
3:40:48 What Is Deep Learning?
3:41:50 Deep Learning Use Case
3:43:14 Single Layer Perceptron
3:50:56 Multi Layer Perceptron (ANN)
3:52:55 Backpropagation
3:54:39 Training A Neural Network
4:01:02 Limitations Of Feed Forward Network
4:03:18 Recurrent Neural Networks
4:05:36 Convolutional Neural Networks
4:09:00 Demo (Deep Learning)
4:29:02 Natural Language Processing
4:30:53 What Is Text Mining?
4:32:43 What Is NLP?
4:33:26 Applications Of NLP
4:35:53 Terminologies In NLP
4:41:19 NLP Demo
4:47:21 Machine Learning Masters Program

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Python Full Course: https://www.youtube.com/watch?v=WGJJIrtnfpk
Statistics and Probability Tutorial: https://www.youtube.com/watch?v=XcLO4f1i4Yo

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬

🔵 Python Programming Certification: http://bit.ly/37rEsnA
🔵 Python Certification Training for Data Science: http://bit.ly/2Gj6fux

🔴. 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 Data Scientist Masters Program: http://bit.ly/2t1snGM
🔵 Machine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 University of Cambridge Online Certifications: https://bit.ly/3RSNTXi

Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4
Check out the entire Machine Learning Blog list: https://bit.ly/2V2MnDW

#edureka #artificialIntelligence #artificialIntelligenceTutorial #artificialIntelligenceFullCourse #artificialIntelligenceEngineer

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

-------------------------------------

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

-------------
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & RoW: +1-8335643323 (toll-free)

Grab my AI Toolkit for free: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=146

Grab my free Workspace Toolkit: https://academy.jeffsu.org/workspace-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=146

🔍 In this video, we unravel the layers of AI, Machine Learning, Deep Learning, and their applications in tools like #ChatGPT and Google #Bard

We first go through how AI is a broad field of study that encompasses #MachineLearning as a sub-field.

We then break down Machine Learning into supervised and unsupervised models, using real-world examples to illustrate their functions and differences.

We move deeper into Deep Learning: Learn about artificial neural networks and the power of semi-supervised learning in applications like fraud detection in banking.

Then we delve into Generative AI, differentiating it from discriminative models and demonstrating its capabilities in creating new, innovative outputs.

Finally we walk through Large Language Models (LLMs) and uncover the significance of LLMs in AI, their pre-training processes, and their customization for specific industry applications

*TIMESTAMPS*
00:00 Google’s AI Course in 10 Minutes
00:38 What is Artificial Intelligence?
01:27 What is Machine Learning?
03:28 What is Deep Learning?
05:15 What is Generative AI?
07:05 What are Large Language Models?

*RESOURCES I MENTION IN THE VIDEO*
Google’s full course: https://www.cloudskillsboost.g....oogle/course_templat
Grab my free Workspace Toolkit: https://academy.jeffsu.org/workspace-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=146

*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/

*MY TOP 3 FAVORITE SOFTWARE*
❎ CleanShot X - https://geni.us/cleanshotx
✍️ Skillshare - https://geni.us/skillshare-jeff
📖 Readwise - https://readwise.io/jeffsu/

*BE MY FRIEND:*
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*👨🏻‍💻 WHO AM I:*
I'm Jeff, a tech professional trying to figure life out. What I do end up figuring out, I share!

_PS: Some of the links in this description are affiliate links I get a kickback from and my opinions are my own and may not reflect that of my employer_ 😇