1) Machine Learning Specialization – Andrew Ng
Hook:
“If you want to start learning AI… this is the perfect entry point, taking you from basics to real-world applications!”
Who is it for?
- Beginners to intermediate learners with basic Python/Math skills.
- Suitable for data, business, and engineering backgrounds.
You’ll learn:
- Supervised ML – Regression, Classification, Model Evaluation
- Advanced ML – Tree-based methods, Ensemble methods, Regularization
- Unsupervised ML – Clustering, Anomaly Detection, Recommenders
Hands-on / Assignments:
- Projects like housing price prediction, spam classifier, and simple recommender.
Certificate & Duration:
- 3-course series, self-paced, with a shareable certificate.
Career growth:
- Strong base for entry-level ML/Data Analyst roles, with portfolio-ready projects.
Internship tips:
- Create a case study using local data.
- Upload your notebooks to GitHub and pin them on LinkedIn.
2. Deep Learning Specialization – DeepLearning.AI
Hook:
“Go deeper into neural networks… from CNNs and RNNs to deep learning best practices!”
Who is it for?
- Learners with ML basics and comfort in Python/NumPy.
You’ll learn:
- Neural Networks & Deep Learning – Backpropagation, vectorization
- Improving Deep Neural Networks – Regularization, Optimization
- Structuring ML Projects – Error analysis, data-centric approach
- CNNs – Conv/Pooling layers, classic architectures
- Sequence Models – RNN, LSTM, attention basics
Hands-on:
- Build NN, CNN, RNN from scratch in NumPy.
Certificate & Duration:
- 5-course series, self-paced, with a shareable certificate.
Career growth:
- Prepares you for computer vision, NLP, and speech AI roles.
Internship ideas:
- Local language OCR, news headline classifier, face mask detection app.
3. Generative AI with Large Language Models (LLMs)
Hook:
“How do ChatGPT, Llama, and Gemini work? Learn to build and deploy real business use-cases!”
Who is it for?
- Developers, PMs, and data professionals exploring GenAI systems.
You’ll learn:
- LLM basics: transformers, tokenization, fine-tuning vs prompting, RAG.
- Product fit: use-case framing, evaluation, safety/ethics.
- Deployment: latency/cost trade-offs, monitoring.
Hands-on ideas:
- Build a Q&A bot using your own website content.
Outcome:
- Practical GenAI stack knowledge and a shareable certificate.
Internship ideas:
- FAQ bot for small businesses, resume improvement tool, Telugu summarizer.
4. Generative AI for Everyone – Andrew Ng
Hook:
“Not technical? Learn how to apply GenAI in business and daily work.”
Who is it for?
- Managers, students, creators – anyone.
You’ll learn:
- What GenAI can/can’t do, safety & risks.
- Prompting basics, workflow optimization.
- Planning GenAI projects with teams.
Project ideas:
- YouTube script generator, customer email reply helper, report drafting bot.
5. IBM AI Engineering Professional Certificate
Hook:
“From deep learning to MLOps – job-ready skills for AI Engineers.”
Who is it for?
- Learners with a data/ML background wanting end-to-end AI engineering skills.
You’ll learn:
- DL foundations: CNN, RNN, autoencoders.
- Generative models & LLM overview.
- Deployment & MLOps: model serving, monitoring, pipelines.
Hands-on:
- IBM Skills Network labs and mini-projects.
Outcome:
- Professional Certificate and readiness for AI/ML engineering roles.
Internship ideas:
- E-commerce recommender API, image moderation service, demand forecasting model.
6. IBM Generative AI Engineering Professional Certificate
Hook:
“Gain GenAI engineering skills in 6 months – from prompting to LLM ops.”
Who is it for?
- Software, data science, or ML aspirants seeking GenAI specialization.
You’ll learn:
- LLM fundamentals, prompt patterns, fine-tuning, RAG.
- Reasoning, evaluation, safety guardrails.
- Build & deploy GenAI endpoints.
Hands-on:
- Guided labs and small GenAI app builds.
Outcome:
- Professional Certificate and job-aligned skills.
Internship ideas:
- Local language chatbot, marketing copy generator, PDF Q&A assistant.
7. Prompt Engineering for ChatGPT – Vanderbilt University
Hook:
“The right prompt transforms AI output into professional results – learn patterns and frameworks.”
Who is it for?
- Students, educators, and professionals using AI daily.
You’ll learn:
- Zero-/few-shot prompting, Chain-of-Thought, ReAct, role prompting.
- Prompt templates, guardrails, evaluation basics.
Assignments:
- Real-life tasks: content generation, code assistance, learning plans.
Outcome:
- Shareable certificate and faster productivity gains.
Project ideas:
- Interview prep coach, exam question generator, customer reply improver.
8. Prompt Engineering Specialization – Vanderbilt University
Hook:
“From beginner to advanced – the complete journey in prompt engineering.”
Who is it for?
- Creators, analysts, and developers wanting deep GenAI usage skills.
You’ll learn:
- Foundations → patterns → applications.
- Evaluation, iteration, ethics & bias basics.
Hands-on:
- Capstone-style assignments for each module.
Outcome:
- Portfolio-ready skills for Prompt Engineer/AI Enablement roles.
Project ideas:
- Brand-style content generator, classroom quiz maker, internal knowledge bot.
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