Master Prompt Engineering in 2025 ⚡| Master AI Prompts | Get Better AI Results FAST!

???? Learn Prompt Engineering in 2025 – Ask Better, Get Better AI Results!
Want AI to give perfect answers every time? ???? Learn prompt engineering in 2025 and master the techniques pros use: Role Play, Chain-of-Thought, Few-Shot, and more!

???????? LLM Notes: https://topmate.io/helloworldbyprince/1627431
???? Claim Your Free Resource: https://forms.gle/12TYVvz2s8ynBzpU7

???? What you’ll get:
✅ Ask better prompts → get smarter AI outputs
✅ Generate resumes, emails, study plans, summaries
✅ Extract structured data in JSON, tables, CSV
✅ Personalize tone, style & length for precise results

???? Start using these proven prompts today and see AI work like a pro!
???? Bonus: Actionable project ideas for beginners and AI + Node.js developers that can be added to your portfolio or resume!

???? Why Prompt Engineering is a Must-Learn Skill in 2025:
With AI evolving faster than ever, knowing how to communicate effectively with LLMs can save hours of work, increase productivity, and unlock advanced capabilities.

???? Don’t forget to LIKE, SHARE, & SUBSCRIBE for more dev-friendly videos!

Follow me on:
???? LinkedIn► https://www.linkedin.com/in/iamprince/
???? Instagram► https://www.instagram.com/helloworldbyprince/
???? Telegram► https://telegram.me/helloworldbyprince
???? Twitter► https://twitter.com/prince_king_

►Our Playlists on:-

???? Tree: https://youtube.com/playlist?list=PLzjZaW71kMwQ-JABTOTypnpRk1BnD2Nx4
???? Stack & Queue: https://youtube.com/playlist?list=PLzjZaW71kMwRTtDWYVPvkJypUpKWbuT7_
???? Hashing: https://youtube.com/playlist?list=PLzjZaW71kMwQ-D3oxCEDHAvYu8VC1XOsS
???? Graph: https://youtube.com/playlist?list=PLzjZaW71kMwSrxEtvK5uQnfNQ9UjGGzA-
???? Matrix: https://youtube.com/playlist?list=PLzjZaW71kMwRff0CCcrB93srEiQhJoOzg
???? Recursion & DP: https://youtube.com/playlist?list=PLzjZaW71kMwSsCT23GFQ-xykAz4uUtYjW
???? Heap: https://youtube.com/playlist?list=PLzjZaW71kMwTF8ZcUwm9md_3MvtOfwGow
???? Linked List: https://youtube.com/playlist?list=PLzjZaW71kMwQ1DIWTn0d_KDHU4_E52-rq
???? STL: https://youtube.com/playlist?list=PLzjZaW71kMwR-oGkXfxfz4dmVe2dkNh0K
???? Leetcode: https://youtube.com/playlist?list=PLzjZaW71kMwQRAtBdJAq3u64ZEw-0wxgI
????Competitive Programming: https://youtube.com/playlist?list=PLzjZaW71kMwTGbP1suqY16w1VSb9ZNuvE
???? C++ Full Course: https://youtube.com/playlist?list=PLzjZaW71kMwRba0ojzshdrmR_NueVeMJv
???? Algorithms: https://www.youtube.com/watch?v=7aB650S72CQ&list=PLzjZaW71kMwQWnV474_y1twD9_5qS85Mu
???? Data Structure: https://www.youtube.com/playlist?list=PLzjZaW71kMwQVEuI4I0Yj0NnsV-km-Jt_


???? What You’ll Learn in this video:
0:00 – Intro, why learn prompt engineering in 2025
0:25 – Recap: LLMs, Hugging Face, Ollama, LM Studio
0:43 – What is a prompt? Why prompts shape LLM quality
1:02 – Prompt engineering = ask better, get better answers
1:34 – Common issue: vague prompts → vague results
2:18 – Core structure of a great prompt (role, task, format)
3:14 – Example: travel guide prompt (clear role + constraints)
4:02 – System role: define who the AI is (teacher, chef, recruiter)
6:06 – Specify output format, tone, length (bullets, JSON, 2 lines)
7:01 – Live demo idea: LinkedIn bio with role + inputs
8:41 – Techniques overview: Role Play, Chain-of-Thought, Few-Shot
10:49 – Role Play prompting: match tone and perspective
12:15 – Chain-of-Thought: “explain step-by-step” for reasoning
14:46 – Few-Shot: show 2–3 examples, then ask for similar output
16:34 – Hands-on: Resume generator prompt (role + constraints)
18:01 – Hands-on: Polite leave request email (role + inputs)
19:24 – 10 copy-paste prompts (study plan, summary, resume, email)
20:49 – Good vs poor prompts: quick comparisons to learn fast
22:01 – Project ideas prompt: beginner, AI+Node.js, resume-ready
23:24 – Practical benefits: accuracy, formatting, fewer hallucinations
24:30 – Extract structured data: ask for JSON/tables/csv
26:04 – Summarize, translate, classify: student-friendly prompts
27:29 – Knowledge prompting: inject domain hints for better context
28:59 – Personalization: tone, style, constraints that fit the task
29:49 – Action items: practice 18 use-cases, iterate and refine
30:14 – CTA: like, subscribe, share

???? Subscribe & turn on notifications so you don’t miss the next lessons!
#LLMBootcamp #AIinHindi #ChatGPT #ClaudeAI #MistralAI #LLMTutorial #artificialintelligence
llm bootcamp hindi,ai bootcamp 2025,large language model hindi,learn llm from scratch,ai course hindi,ollama tutorial hindi,langchain tutorial hindi,prompt engineering hindi,build ai chatbot hindi,huggingface tutorial hindi,gemini api tutorial hindi,ai for beginners hindi,llm course for students,free ai bootcamp hindi,how to learn llm 2025,ai tutorial hindi,gpt tutorial hindi,mistral tutorial hindi,llama tutorial hindi,claude tutorial hindi,gemma tutorial hindi,ai coding bootcamp 2025,ai in hindi,ai playlist hindi,ai course free,ai career hindi,chatgpt hindi tutorial,build llm app hindi,ai chatbot hindi

Comment "#Princebhai" if you read this ????????