FULL DESCRIPTION OF ALL LEARNING SOURCES

 

 

 

 FULL DESCRIPTION OF ALL LEARNING SOURCES

 

 AI BASICS & FLUENCY

 

1. Anthropic: AI Fluency for Students

 

- Provider: Anthropic (creators of Claude AI)

- Format: Short online course, ~30–45 minutes total

- Cost: 100% free, includes a completion certificate

- What you learn:

- The 4D Framework: Delegate, Describe, Discern, Diligence — the correct way to work with AI

- How to use AI for studying, writing, and research without relying on it completely

- How to spot errors, check facts, and use AI responsibly

- Best for: Month 1 — building the right mindset before starting technical work

 

2. Google: Generative AI for Everyone

 

- Provider: Google Cloud / Google AI

- Format: Video lessons + readings + quizzes

- Cost: Free to audit, certificate available

- What you learn:

- Simple explanation of how generative AI works (no complex math or code)

- The difference between older AI and modern chatbots/models

- How models are trained, what tokens are, and why they sometimes make mistakes

- Real-world uses and limitations

- Best for: Month 1 — understanding how AI actually functions

 

3. Microsoft Learn: Responsible AI

 

- Provider: Microsoft

- Format: Structured learning modules

- Cost: Free

- What you learn:

- Key principles: Fairness, reliability, privacy, security, transparency, and accountability

- How to detect hallucinations (when AI makes up facts) and bias

- Best practices to ensure AI outputs are safe, legal, and ethical

- Best for: Month 1–2 — learning to trust but verify AI results

 

4. Why Try AI (by Daniel Nest)

 

- Provider: Substack / Daniel Nest

- Format: Articles, guides, and live video streams/demos

- Cost: Free content available; some streams/archives require subscription

- What you learn:

- Practical, real-world ways to use tools like ChatGPT, Claude, and Gemini

- Live demonstrations showing exactly what works and what doesn’t

- Simple tips to improve results and save time

- Focused on usefulness rather than complex theory

- Best for: All Months — great for daily practice and staying updated

 

 

 

PROMPT ENGINEERING

 

1. NirDiamant/

Prompt_Engineering (GitHub Repository)

 

- Creator: Nir Diamant

- Format: Collection of Jupyter Notebooks, code examples, and explanations

- Cost: Completely free and open-source

- What you learn:

- From basics to advanced techniques: Zero-shot, Few-shot, Chain-of-Thought, Role Prompting

- How to get structured outputs (JSON, tables, lists)

- How to build prompts that work consistently every time

- Practical code to test your prompts

- Best for: Month 1–2 — mastering the skill of communicating clearly with AI

 

2. Anthropic Prompt Library

 

- Provider: Anthropic

- Format: Searchable library of ready-to-use prompt templates

- Cost: Free

- What you learn:

- Pre-written prompts for common tasks: summarizing, explaining, writing, analyzing data, etc.

- Best practices designed specifically for Claude and similar models

- Saves time and gives you a standard to follow

- Best for: All Months — use as a reference whenever you need to write a new prompt

 

 

 

 TECHNICAL SKILLS

 

1. DigiSkills: Artificial Intelligence using Python

 

- Provider: Ignite / Ministry of IT & Telecom, Government of Pakistan

- Format: 3-month structured course with video lectures, quizzes, assignments, and final exam

- Cost: 100% free for Pakistani residents, official certificate on completion

- What you learn:

- Python programming from scratch

- Working with data using libraries like NumPy and Pandas

- Data visualization and introduction to Machine Learning

- Simple AI model building

- Best for: Month 2 — your main source for learning Python and AI fundamentals

 

2. Kaggle Learn

 

- Provider: Kaggle (world’s largest data science community)

- Format: Short, interactive lessons

- Cost: Free

- What you learn:

- Python basics, data analysis, visualization, and introduction to AI/ML

- Lessons are very practical and hands-on

- Great for reinforcing what you learn in other courses

- Best for: Month 2–3 — extra practice and preparation for the Agents course

 

3. Anthropic: Model Context Protocol (MCP)

 

- Provider: Anthropic

- Format: Two courses: Introduction to MCP and Advanced Topics in MCP

- Cost: Free

- What you learn:

- What MCP is: The standard way to let AI connect safely to files, databases, APIs, and other tools

- How to build secure connections between AI and external systems

- How to control permissions and prevent errors

- Best for: Month 2–3 — essential knowledge for building AI agents and automation

 

4. Hugging Face NLP Course

 

- Provider: Hugging Face

- Format: Free online course with theory + code exercises

- Cost: Free

- What you learn:

- How language models actually understand and generate text

- Concepts like embeddings, transformers, and tokenization

- Practical use of open-source models

- Best for: Month 2 — deepening your technical understanding

 

 

 

 AGENTS & AUTOMATION

 

1. Kaggle + Google: AI Agents Intensive

 

- Provider: Kaggle & Google DeepMind

- Format: 5-day intensive live/on-demand course

- Date: June 15 – 19, 2026

- Cost: Free, certificate of completion

- What you learn:

- The difference between simple chatbots and AI agents

- How to connect agents to tools and code

- Managing memory, context, and decision-making

- Vibe coding and building working projects

- Best for: Month 3, Week 10 — the main event for building your own systems

 

2. Your Complete AI Agent Team System

 

- Format: Custom framework of prompts and rules

- Cost: Free to use, built for your learning path

- What you learn:

- How to create specialized agents with clear roles

- How to make them work together as a team automatically

- Ready-to-use templates, examples, and troubleshooting guides

- Best for: All Months after Week 4 — apply everything you learn directly to your work