Freelance Corporate Trainer – AI & Machine Learning Preparation Guide

Professional Introduction

"I am an AI/ML qualified and corporate trainer with expertise in Machine Learning, Deep Learning, Generative AI, Natural Language Processing (NLP), Computer Vision, and MLOps. I have experience delivering instructor-led training programs, workshops, and corporate boot camps for technical and non-technical audiences. My focus is on simplifying complex AI concepts through practical demonstrations, real-world use cases, hands-on labs, and industry best practices."

Core Topics to Master

1. Artificial Intelligence Fundamentals

- AI vs ML vs Deep Learning

- Types of AI

- Supervised Learning

- Unsupervised Learning

- Reinforcement Learning

- AI Applications Across Industries

2. Machine Learning

- ML Lifecycle

- Data Collection & Preparation

- Feature Engineering

- Model Training & Testing

- Model Evaluation

Algorithms

- Linear Regression

- Logistic Regression

- Decision Trees

- Random Forest

- KNN

- Naive Bayes

- Support Vector Machines

- Gradient Boosting

- XGBoost

Evaluation Metrics

- Accuracy

- Precision

- Recall

- F1 Score

- ROC-AUC

- Confusion Matrix

3. Deep Learning

Neural Networks

- Perceptron

- Multi-Layer Perceptron

- Activation Functions

- Backpropagation

Advanced Architectures





- CNN (Computer Vision)

- RNN

- LSTM

- GRU

- Transformers

Frameworks

- TensorFlow

- Keras

- PyTorch

4. Natural Language Processing (NLP)

Fundamentals

- Text Preprocessing

- Tokenization

- Stemming

- Lemmatization

Advanced NLP

- Word Embeddings

- Word2Vec

- BERT

- GPT Models

- Sentiment Analysis

- Text Classification

- Chatbots

5. Generative AI

Large Language Models (LLMs)

- GPT

- Claude

- Gemini

- Llama

Concepts

- Prompt Engineering

- RAG (Retrieval-Augmented Generation)

- Vector Databases

- Fine-Tuning

- AI Agents

- Hallucinations

- AI Governance

Tools

- LangChain

- LangGraph

- CrewAI

- LlamaIndex

- OpenAI APIs

6. Computer Vision

Topics

- Image Classification

- Object Detection

- Face Recognition

- OCR

- Image Segmentation

Libraries

- OpenCV

- YOLO

- TensorFlow Vision

- PyTorch Vision

7. MLOps

Concepts

- ML Pipelines

- Model Deployment

- Model Monitoring

- CI/CD for ML

Tools

- MLflow

- Kubeflow

- Docker

- Kubernetes

- Jenkins

- GitHub Actions

8. AI on Cloud Platforms

AWS

- SageMaker

- Bedrock

- Rekognition

- Comprehend

Azure

- Azure AI Services

- Azure ML

- Azure OpenAI

GCP

- Vertex AI

- AutoML

- AI Platform

📌 Trainer - AI / ML (Telangana)
🏢 Galactix Solutions
📍 Telangana