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Lisa earned $200,000 in a month, and now it’s YOUR TURN!
She’s made trading SO SIMPLE that anyone can do it.
❗️Just copy her signals every day
❗️Follow her trades step by step
❗️Earn $1,000+ in your first week – GUARANTEED!
🚨 BONUS: Lisa is giving away $10,000 to her subscribers!
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✅ How to Choose the Right AI Skill to Learn in 2025 🤖🎯
AI is broad, but choosing the right skill makes it manageable. Here's how to decide:
1️⃣ Define Your Interest
- Want to build AI models? Start with Python, NumPy, scikit-learn
- Like text-based AI? Focus on NLP, Transformers, LLMs
- Into AI apps/tools? Learn LangChain, RAG, vector DBs
2️⃣ Follow Market Signals
- AI roles are booming: ML Engineer, AI Developer, Data Scientist
- Skills in demand: TensorFlow, PyTorch, GenAI tools, OpenAI APIs
3️⃣ Choose a Track & Go Deep
- Track:
- ML Core: Algorithms, model tuning, deployment
- LLMs & RAG: OpenAI, LangChain, Pinecone
- AI Agents: AutoGen, CrewAI, planning tools
- Stick to one, build solid projects
4️⃣ Learn from Free & Top Sources
- YouTube, GitHub, free MOOCs
- Follow AI communities on Discord, X (Twitter), and LinkedIn
5️⃣ Build Real AI Projects
- Chatbots, RAG search engines, AI agents
- Host on GitHub, write case studies
6️⃣ Understand AI Ethics & Safety
- Learn about fairness, hallucination handling, guardrails
- Critical for responsible AI use
✨ Don’t chase everything. Go deep in one branch and grow from there.
💬 Double Tap ❤️ for more!
AI is broad, but choosing the right skill makes it manageable. Here's how to decide:
1️⃣ Define Your Interest
- Want to build AI models? Start with Python, NumPy, scikit-learn
- Like text-based AI? Focus on NLP, Transformers, LLMs
- Into AI apps/tools? Learn LangChain, RAG, vector DBs
2️⃣ Follow Market Signals
- AI roles are booming: ML Engineer, AI Developer, Data Scientist
- Skills in demand: TensorFlow, PyTorch, GenAI tools, OpenAI APIs
3️⃣ Choose a Track & Go Deep
- Track:
- ML Core: Algorithms, model tuning, deployment
- LLMs & RAG: OpenAI, LangChain, Pinecone
- AI Agents: AutoGen, CrewAI, planning tools
- Stick to one, build solid projects
4️⃣ Learn from Free & Top Sources
- YouTube, GitHub, free MOOCs
- Follow AI communities on Discord, X (Twitter), and LinkedIn
5️⃣ Build Real AI Projects
- Chatbots, RAG search engines, AI agents
- Host on GitHub, write case studies
6️⃣ Understand AI Ethics & Safety
- Learn about fairness, hallucination handling, guardrails
- Critical for responsible AI use
✨ Don’t chase everything. Go deep in one branch and grow from there.
💬 Double Tap ❤️ for more!
❤1
🤖 AI Career Paths & What to Learn 💡
🧑💻 1. Machine Learning Engineer
▶️ Tools: Python, TensorFlow, PyTorch
▶️ Skills: ML algorithms, model training, deployment
▶️ Projects: Image recognition, fraud detection, recommendation systems
🗣️ 2. NLP Engineer
▶️ Tools: Python, Hugging Face, spaCy, Transformers
▶️ Skills: Text processing, language modeling, chatbot development
▶️ Projects: Sentiment analysis, question answering, language translation
🤖 3. AI Researcher
▶️ Tools: Python, PyTorch, Jupyter, academic papers
▶️ Skills: Algorithm design, experimentation, deep learning theory
▶️ Projects: Novel model development, publishing papers, prototyping
⚙️ 4. AI Engineer (AI Agent Specialist)
▶️ Tools: LangChain, AutoGen, OpenAI APIs, vector databases
▶️ Skills: Prompt engineering, agent design, multi-agent workflows
▶️ Projects: Autonomous chatbots, task automation, AI assistants
💾 5. Data Scientist (AI Focus)
▶️ Tools: Python, R, Scikit-learn, MLflow
▶️ Skills: Data analysis, feature engineering, predictive modeling
▶️ Projects: Customer churn prediction, demand forecasting, anomaly detection
🛠️ 6. AI Product Manager
▶️ Tools: Jira, Asana, SQL, BI tools
▶️ Skills: AI project planning, stakeholder communication, user research
▶️ Projects: AI feature rollout, user feedback analysis, roadmap creation
🔒 7. AI Ethics Specialist
▶️ Tools: Research papers, policy frameworks
▶️ Skills: Fairness auditing, bias detection, regulatory compliance
▶️ Projects: AI audits, ethical guidelines, transparency reports
💡 Tip: Pick your AI role → Master core tools → Build projects → Join AI communities → Showcase work
AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
💬 Tap ❤️ for more!
🧑💻 1. Machine Learning Engineer
▶️ Tools: Python, TensorFlow, PyTorch
▶️ Skills: ML algorithms, model training, deployment
▶️ Projects: Image recognition, fraud detection, recommendation systems
🗣️ 2. NLP Engineer
▶️ Tools: Python, Hugging Face, spaCy, Transformers
▶️ Skills: Text processing, language modeling, chatbot development
▶️ Projects: Sentiment analysis, question answering, language translation
🤖 3. AI Researcher
▶️ Tools: Python, PyTorch, Jupyter, academic papers
▶️ Skills: Algorithm design, experimentation, deep learning theory
▶️ Projects: Novel model development, publishing papers, prototyping
⚙️ 4. AI Engineer (AI Agent Specialist)
▶️ Tools: LangChain, AutoGen, OpenAI APIs, vector databases
▶️ Skills: Prompt engineering, agent design, multi-agent workflows
▶️ Projects: Autonomous chatbots, task automation, AI assistants
💾 5. Data Scientist (AI Focus)
▶️ Tools: Python, R, Scikit-learn, MLflow
▶️ Skills: Data analysis, feature engineering, predictive modeling
▶️ Projects: Customer churn prediction, demand forecasting, anomaly detection
🛠️ 6. AI Product Manager
▶️ Tools: Jira, Asana, SQL, BI tools
▶️ Skills: AI project planning, stakeholder communication, user research
▶️ Projects: AI feature rollout, user feedback analysis, roadmap creation
🔒 7. AI Ethics Specialist
▶️ Tools: Research papers, policy frameworks
▶️ Skills: Fairness auditing, bias detection, regulatory compliance
▶️ Projects: AI audits, ethical guidelines, transparency reports
💡 Tip: Pick your AI role → Master core tools → Build projects → Join AI communities → Showcase work
AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
💬 Tap ❤️ for more!
❤2
What role does AI play in healthcare?
Anonymous Quiz
8%
A. Manage hospital billing
15%
B. Schedule appointments
77%
C. Read X-rays and assist in diagnosis
1%
D. Clean hospital equipment
🔥1
How does AI help in finance?
Anonymous Quiz
0%
A. Prints currency
95%
B. Detects fraud and enables smart trading
4%
C. Manages physical bank branches
1%
D. Files taxes
🔥2
Which of these uses AI in e-commerce?
Anonymous Quiz
3%
A. Product packaging
3%
B. Warehouse construction
92%
C. Personalized product recommendations
3%
D. Manual checkout processing
👏1
What powers self-driving cars like Tesla?
Anonymous Quiz
15%
A. Motion sensors only
12%
B. Rule-based software
72%
C. Deep learning models
1%
D. Manual programming
👍1
What do Siri and Alexa use to understand human speech?
Anonymous Quiz
1%
A. Spreadsheets
3%
B. SQL queries
94%
C. Natural Language Processing
2%
D. Keyboard shortcuts
🔥1
How does AI assist in agriculture?
Anonymous Quiz
3%
A. Driving tractors
3%
B. Forecasting sales
93%
C. Predicting weather and monitoring crops
1%
D. Planting seeds manually
👏1
In media, what is AI used for?
Anonymous Quiz
12%
A. Film projection
82%
B. Script writing and music creation
4%
C. Ticket selling
1%
D. Popcorn ordering
🔥2
What’s one cybersecurity use of AI?
Anonymous Quiz
2%
A. Installing antivirus
6%
B. Writing code
88%
C. Detecting real-time threats
3%
D. Changing user passwords
👏2
The 5 FREE Must-Read Books for Every AI Engineer
1. Practical Deep Learning
A hands-on course using Python, PyTorch, and fastai to build, train, and deploy real-world deep learning models through interactive notebooks and applied projects.
2. Neural Networks and Deep Learning
An intuitive and code-rich introduction to building and training deep neural networks from scratch, covering key topics like backpropagation, regularization, and hyperparameter tuning.
3. Deep Learning
A comprehensive, math-heavy reference on modern deep learning—covering theory, core architectures, optimization, and advanced concepts like generative and probabilistic models.
4. Artificial Intelligence: Foundations of Computational Agents
Explains AI through computational agents that learn, plan, and act, blending theory, Python examples, and ethical considerations into a balanced and modern overview.
5. Ethical Artificial Intelligence
Explores how to design safe AI systems by aligning them with human values and preventing issues like self-delusion, reward hacking, and unintended harmful behavior
✅ Double Tap ❤️ For More
1. Practical Deep Learning
A hands-on course using Python, PyTorch, and fastai to build, train, and deploy real-world deep learning models through interactive notebooks and applied projects.
2. Neural Networks and Deep Learning
An intuitive and code-rich introduction to building and training deep neural networks from scratch, covering key topics like backpropagation, regularization, and hyperparameter tuning.
3. Deep Learning
A comprehensive, math-heavy reference on modern deep learning—covering theory, core architectures, optimization, and advanced concepts like generative and probabilistic models.
4. Artificial Intelligence: Foundations of Computational Agents
Explains AI through computational agents that learn, plan, and act, blending theory, Python examples, and ethical considerations into a balanced and modern overview.
5. Ethical Artificial Intelligence
Explores how to design safe AI systems by aligning them with human values and preventing issues like self-delusion, reward hacking, and unintended harmful behavior
✅ Double Tap ❤️ For More
Practical Deep Learning for Coders
Practical Deep Learning for Coders - Practical Deep Learning
A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.