Course Overview
This flagship 16-week program is Astrikcoders’ most advanced AI training. You will master cutting-edge AI technologies — from classical ML to large language models (LLMs), Generative AI application development, Retrieval-Augmented Generation (RAG), and AI agent frameworks. Graduate ready for senior AI/ML engineer and AI product roles.
What You Will Learn
- Deep Learning — CNNs, RNNs, Transformers, Attention Mechanisms
- Large Language Models — GPT, LLaMA, Mistral architecture and fine-tuning
- Prompt Engineering and few-shot learning techniques
- LangChain and LlamaIndex for RAG applications
- AI Agent development with AutoGen and CrewAI
- Generative AI for images (Stable Diffusion, DALL-E API)
- MLOps and AI deployment pipelines
- AI safety, alignment, and responsible AI practices
Who Is This For?
- ML engineers wanting to specialize in Generative AI
- Software engineers aiming for senior AI roles
- Researchers working on applied AI projects
Prerequisites
Solid Python, basic ML knowledge, and familiarity with neural networks.
Course Highlights
- ⏱ Duration: 16 Weeks
- 📜 Advanced AI mentorship
- 🤖 Build 5+ GenAI applications
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What's Included
Course Curriculum
Master Python for ML: NumPy, Pandas, Matplotlib. Statistics, probability, and linear algebra refresher.
- Python data structures, loops, functions
- NumPy arrays and matrix operations
- Pandas DataFrames for data manipulation
- Descriptive statistics and probability basics
- Linear algebra: vectors, matrices, eigenvalues
Supervised and unsupervised ML algorithms with hands-on Scikit-learn implementation.
- Linear & Logistic Regression
- Decision Trees, Random Forest, Gradient Boosting
- SVM, K-Nearest Neighbours
- K-Means Clustering, PCA, Dimensionality Reduction
- Model evaluation: accuracy, AUC-ROC, confusion matrix
- Cross-validation and hyperparameter tuning
Build and train neural networks using TensorFlow and Keras for real-world image and text tasks.
- Perceptrons, activation functions, backpropagation
- CNNs for image classification
- RNNs, LSTMs for sequential data
- Transfer learning with ResNet, VGG
- Model regularization and dropout
Understand and build with Generative AI: GANs, VAEs, Transformers, and Large Language Models.
- Transformer architecture and attention mechanism
- Fine-tuning pre-trained LLMs (BERT, GPT)
- Prompt engineering and in-context learning
- RAG (Retrieval Augmented Generation)
- LangChain for AI application development
- OpenAI API, Hugging Face integration
Deploy ML models to production using MLflow, Docker, and cloud platforms. Build and present a full AI project.
- Model versioning with MLflow
- Containerization with Docker
- API deployment with FastAPI
- Cloud deployment on AWS/GCP
- Capstone: End-to-end AI product demo
Skills You Will Gain
Career & Salary Outcomes
Average salaries after completing this training
What Our Students Say
Real feedback from real professionals who completed this program
“The Advance AI&ML Training with Generative AI course at Astrikcoders was exactly what I needed to upskill. The hands-on projects were incredible.”
“I was able to transition into a new role thanks to this Advance AI&ML Training with Generative AI program. The instructors are very knowledgeable.”
“Highly recommend the Advance AI&ML Training with Generative AI training. It covers everything from basics to advanced topics with real-world examples.”
Frequently Asked Questions
Everything you need to know before enrolling