🇮🇳 Officially from INDIAN IITs 🇮🇳
No fees. No entrance exam. No catch.
Here are 28 courses that are better than most paid bootcamps:
1. Artificial Intelligence: Concepts and Techniques: https://t.co/xQLCBAt71z
2. Artificial Intelligence: Foundations and Algorithms: https://t.co/oSYHBy2CAo
3. Cloud Computing: https://t.co/s3eKQ4kO5I
4. Computer Vision: https://t.co/sw0ODnKZkb
5. Corporate Finance: https://t.co/AMT78OsBlw
6. Cyber Security and Privacy: https://t.co/iqFHf8TPii
7. Data Science for Engineers: https://t.co/bc2P6F5Jsd
8. Data Structures and Algorithms Design: https://t.co/kuixtbaTCD
9. Data Structures and Algorithms using Java: https://t.co/X8UsoouHO6
10. Data Structures and Algorithms Using Python: https://t.co/ShnmBRxGR5
11. Database Management System: https://t.co/dFPgDFun9i
12. Deep Learning - IIT Ropar: https://t.co/DTlEKFvlJa
13. Digital Marketing in the AI era: https://t.co/cY4BAnSMKI
14. Ethical Hacking: https://t.co/Vt6zK7tKzl
15. Generative AI for Computer Vision: https://t.co/GoFZOqhaOm
16. Introduction to Large Language Models (LLMs): https://t.co/cb50yjV59U
17. Introduction to Internet of Things: https://t.co/zikEcWbfQ2
18. Introduction to Machine Learning: https://t.co/yOyY1M8YnB
19. Introduction to Operating Systems: https://t.co/yq2e4gr2S9
20. Learning Analytics Tools: https://t.co/8ZTz0nJwlf
21. Mathematical Foundations of Generative AI: https://t.co/yQJ5crEMkP
22. Natural Language Processing: https://t.co/NW57eofXXt
23. Operating System Fundamentals: https://t.co/qWX8UeZIYK
24. Programming in Java: https://t.co/OAyT6kLYAz
25. Programming in Modern C++: https://t.co/0E3lquqUpM
26. Programming with Generative AI: https://t.co/MItYoWr2bF
27. Python for Data Science: https://t.co/mCcMpCOsA3
28. Reinforcement Learning: https://t.co/9m0pEVhORd
Repost so someone else can find this roadmap, and pls consider following
@amisha_explains for more content around AI, Beauty, and businesses.
Marquee Investors I Never Ignore
- Akash Bhansali
- Mukul Agarwal
- Nemish S. Shah
- Ashish Kacholia
- Madhusudan Kela
- Sunil Singhania
- Vijay Kedia
- Govindlal M. Parikh
- Ajay Upadhyay
- Zakir Abbas Nasser
All of the investors have a history of identifying quality businesses well before the crowd 🔥
15 companies which had very bullish Q1 FY-27 concalls and can double their revenue / PAT in next 2-3 years:
🔹1. SG Finserve (#SGFIN): 43% PAT growth (225 cr PAT) guidance in FY-27
🔹2. Ramkrishna Forgings (#RKFORGE): 22-25% CAGR revenue growth for next 3 years
🔹3. SG Mart (#SGMART): 118% EBITDA growth (300 cr EBITDA) guidance in FY-27
🔹4. Acutaas Chemicals (#ACUTAAS): 25% revenue growth in FY-27
🔹5. HFCL (#HFCL): 40% revenue growth guidance in FY-27
🔹6. Sangam India (#SANGAMIND): 100% PAT growth guidance in FY-27
🔹6. Tatva Chintan (#TATVA): 25-30% revenue growth guidance in FY-27
🔹7. Tinna Rubber (#TINNARUBR): 23-28% revenue growth guidance in FY-27
🔹8. Steel Strips Wheel Limited (#SSWL): 20%+ revenue growth guidance in FY-27
🔹9. Atlanta Electricals (#ATLANTAELE): 40% CAGR revenue growth guidance for next 3 years
🔹10. GSM Foils (#GSMFOILS): 65% revenue growth (450 cr revenue) guidance in FY-27
🔹11. Krishana Phoschem (#KRISHANA): 30-35% revenue growth in FY-27
🔹12. Jubilant Ingrevia (#JUBLINGREA): 32-40% EBITDA growth (750-800 cr) guidance in FY-27
🔹13. Aye Finance Ltd(#AYE): 25-30% AUM growth guidance in FY-27
🔹14. Tips Music Ltd (#TIPSMUSIC): 20% revenue growth and PAT growth guidance in FY-27
🔹15. Smartworks Coworking Spaces (#SMARTWORKS): 28-30% revenue growth guidance in FY-27
Follow @AdityaMittal795 if you liked this for more such educational posts.
I had identified 3× ,5× ,7× multibagger in past
Ace, Carysil, vimta Lab, racl geartech, Marine electric, Kajaria, KEI, Aimtron, Affle, amber, DSSL , POCL, KPi Green, sakar healthcare, BBOX, permanent magnets.
( Almost all companies had market caps of less than ₹500 crore.)
Currently Big postion in my portfolio:- Acutaas, POCL,Axiscades, Quality power, SAKAR healthcare, Netweb technology, GNG electronic,KMEW, V2 RETAIL , Balu forge
If a breakout occurs in the market. I'll start looking for microcap companies.
A well-picked portfolio across these structural themes could create significant long-term wealth. 📈
🏦 Capital Markets
🔹 BSE
🔹 CDSL
🔹 CAMS
🔹 Angel One
🔹 Nuvama Wealth
🏥 Healthcare
🔹 Apollo Hospitals
🔹 Max Healthcare
🔹 Fortis Healthcare
🔹 Narayana Health
🔹 Rainbow Children’s Medicare
⚡ Power
🔹 NTPC
🔹 Power Grid
🔹 Tata Power
🔹 Adani Power
🔹 JSW Energy
💊 Pharma
🔹 Sun Pharma
🔹 Divi’s Laboratories
🔹 Cipla
🔹 Dr. Reddy’s Laboratories…
How to Pick a Multibagger..........
This post I am asked even now by friends....
Here is the link-- but if I have to write again, I will add many more things now...
https://t.co/uIbBHYP1ck
🚀 FUTURE OF INDIA STOCKS 🇮🇳
The next decade could be shaped by a few powerful themes. 👇
🤖 Artificial Intelligence (AI)
🔹 Kellton Tech
🔹 Happiest Minds
🔹 Tata Elxsi
🔹 Affle India
🚁 Drone Ecosystem
🔹 Zen Technologies
🔹 HAL
🔹 ideaForge
🔹 Paras Defence
⚡ Electric Vehicles (EV)
🔹 Tata Motors
🔹 Mahindra & Mahindra
🔹 Olectra Greentech
🔹 Ashok Leyland
💻 Semiconductors & Electronics
🔹 MosChip Technologies
🔹 SPEL Semiconductor
🔹 RIR Power Electronics
🔹 ASM Technologies
💡 Wealth is often created by identifying megatrends early and holding through the noise.
📌 Save this list and revisit it after 5 years.
#AI #EV #Drones #Semiconductors #IndianStockMarket #StocksToWatch #Investing 🚀🇮🇳
Meet Bharat Shah
> Worked under Harshad Mehta
> Rs. 45,000 Crore fund manager
> Has read 10,000+ books
> 40 years of Investing wisdom
Save it for later 🔖
MY FATHER SPENT 32 YEARS STUDYING MARKETS AND LEFT ME 12 RULES
Most people learn these the expensive way
Price falls 5% → Hold
Price falls 15% → Buy 10%
Price falls 25% → Buy 20%
Price falls 40% → Buy 30%
Price falls 60% → Buy 40%
Price rises 5% → Hold
Price rises 20% → Hold
Price rises 25% → Sell 10%
Price rises 40% → Sell 20%
Price rises 50% → Sell 35%
Price rises 70% → Sell 40%
Price rises 100% → Sell 90%
Always keep 10% as a moonbag
Never go all in, never go all out
Simple framework, almost nobody follows it
Follow me - the people who do tend not to regret it