Artificial Intelligence Introduction[cite: 6]
AI categories – Weak AI & Strong AI[cite: 6]
Types of AI[cite: 6]
- Capability AI: Narrow AI, General AI, Super AI[cite: 6]
- Functionality AI: Reactive AI, Limited Theory AI, Theory of Mind AI, Self-Awareness AI[cite: 6]
Branches of AI[cite: 6]
- Machine Learning – INDPTH With Model Implementation and Real Business Case[cite: 6]
- Deep Learning – INDPTH With Model Implementation and Real Business Case[cite: 6]
- Natural Language Processing (NLP) – INDPTH With Model Implementation and Real Business Case[cite: 6]
- Robotics – Introduction[cite: 6]
- Expert System – Introduction[cite: 6]
AI Realtime Usage[cite: 6]
AI Security Threats[cite: 6]

Type of Learning: Machine Learning, Statistical Learning, Python with Salesforce[cite: 6]
Supervised Learning[cite: 6]
- Regression (Linear & Polynomial) - Model Implementation and Real Business Case[cite: 6]
- Decision Tree[cite: 6]
- Random Forest[cite: 6]
- Classification: KNN, Logistic Regression, Naive-Bayes, SVM[cite: 6]
Un-Supervised Learning[cite: 6]
- Clustering[cite: 6]
- SVD, PCA, K-Means - Model Implementation and Real Business Case[cite: 6]
- Association Analysis: Apriori, FP-Growth[cite: 6]
- Hidden Markov Model[cite: 6]
Reinforcement Learning (Continuous, Categorical)[cite: 6]

Python Syntax, Comments, Variables, Data Types, Numbers, Casting, Strings, Booleans, Operators[cite: 6]
Python Collections: Lists, Tuples, Sets, Dictionaries[cite: 6]
Control Flow: If...Else, Match, While Loops, For Loops[cite: 6]
Advanced Topics: Functions, Arrays, Classes/Objects, Iterators, Modules, Dates, Math, JSON, RegEx, PIP[cite: 6]

Introduction to simple_salesforce & Setup[cite: 6]
simple_salesforce API Login and Credentials Verification[cite: 6]
Module Exploration: api, bulk, bulk2, exceptions, format, login, messages, metadata, util[cite: 6]

Salesforce AI Introduction[cite: 6]
Salesforce CRM 360 (AI + Data + CRM): Sales AI, Customer Service AI, Marketing AI, Commerce AI[cite: 6]
Salesforce Agentforce Platform Overview & Key Components[cite: 6]
Agentforce vs other Salesforce AI Tools[cite: 6]
Atlas Reasoning Engine (ARE): Query Evaluation, Data Retrieval, Plan Building, Plan Refinement, Autonomous Execution[cite: 6]

Customization Tools: Agent Builder, Model Builder, Prompt Builder[cite: 6]
Agentforce Workflows & Retrieval Augmented Generation (RAG) Model[cite: 6]
Agentforce security with Einstein Trust Layer[cite: 6]
Agentforce DX (Beta) & Agentforce for Developers[cite: 6]
AI Development Tools: VS Code Einstein extension, cURL, Developer Console REST API[cite: 6]

Einstein Prediction Builder, Prompt Builder, Bots, Conversation Insights Assessor[cite: 6]
Einstein Readiness Report, Search, Vision, Discovery, Language Overview[cite: 6]
Einstein Copilot (Copilot Studio)[cite: 6]
Access Key, OAuth Token, JWT Token Generation & Authorization[cite: 6]
Creating & Training Data Sets and Models (Community Sentiment, NER, OCR)[cite: 6]

Introduction to OpenAI, GPT 4.5 & GPT 4.0 Models[cite: 6]
GPT Integration with Salesforce using LLM[cite: 6]
DALL-E, WHISPER, Embeddings, Moderation, Text DaVinci Overview[cite: 6]
Fine-Tuning OpenAI Models, API Keys & Authentication[cite: 6]
POST & RESPONSE handling, Serialization, Deserialization, Response Analysis[cite: 6]
Real Use Cases of Generative AI in Sales and Service Cloud[cite: 6]

Generative AI Introduction & Large-Language Models (LLMs)[cite: 6]
Community Sentiment Model (CSM), Einstein NER Model, Einstein OCR Model[cite: 6]
Agentforce RAG Model & Agentforce ARE Model[cite: 6]

Einstein Language, Setup, Development & Deployment Best Practices[cite: 6]
Salesforce Einstein & Gen AI Governing Limits[cite: 6]
Agentforce AI Security Models, Permissions, Access Control & Code Security[cite: 6]

AI Used Business Cases, Prediction Scenarios, GEN AI Scenarios[cite: 6]
300+ AI Books (PDF) & 100+ Salesforce Research Associate Papers Exposure[cite: 6]
Salesforce AI Research DOI library access & Research Lab Exposure[cite: 6]
Real AI Model Execution & Practical AI Implementation Solutions[cite: 6]