ORACLEDeloitte. accenture AWS Google Cloud Microsoft ORACLEDeloitte. accenture AWS Google Cloud Microsoft
10-Week Structured Path
60-80 hours of structured instructor-led mechanics with an explicit hybrid tracking model.
Dual Production Capstones
Ship one full Machine Learning application and one production-shaped GenAI application end-to-end.
Enterprise Lab Tooling
Deploy on industry architectures like Pinecone, LangChain, and advanced Oracle 23ai vector engines.
Responsible AI Guardrails
Mitigate hallucination, prompt injection, and jailbreaking via structural moderation blocks.
The Weekly Execution Blueprint
6-8 hours per week engineered meticulously to drive absolute conceptual retention and deployment mastery.
2 Hours
Concept Teaching
1 Hour
Instructor Demo
2 Hours
Hands-on Lab
2-3 Hours
Assignment / Practice
1 Hour
Review / Q&A Block
Designed for Radical Career Acceleration
Students & Freshers
Establish a bulletproof operational base by deploying native matrix functions and building multi-layer models right from scratch.
Developers & Engineers
Transition smoothly from standard deterministic scripting into robust probabilistic high-dimension modeling with enterprise LLM framework integrations.
Analysts & Professionals
Deconstruct data pipelines systematically and interface directly with LLM architectures to extract and structure hidden document data nodes.
Explore Our 10-Week Syllabus Map
Comprehensive curriculum covering data manipulation, full ML lifecycles, and advanced multi-agent orchestrations.
MODULE 1: Foundations of AI, ML, DL & Data Science
Weeks 1-2 • Solid Conceptual Base & Your First Neural Network
Week 1: AI/ML/DS Foundations
Intro to AI, ML & DS: History & evolution, narrow vs. general AI, real-world applications (chatbots, fraud detection, recommendations, resume screening), AI vs. traditional programming.
Math Foundations: Linear algebra (vectors, matrices, dot product), calculus essentials (derivatives, gradients, chain rule), probability & statistics (distributions, Bayes' theorem, expectation), hands-on with NumPy.
Python Tools & Data Handling: Refresher on structures, NumPy, Pandas, Matplotlib, Seaborn. Jupyter/Colab setups, virtual environments. Reading CSV/JSON/Excel, data preprocessing, handling missing values/outliers, and EDA intro.
ML Workflow Overview: Supervised vs. Unsupervised vs. Reinforcement learning, train-test splits, features vs. labels, model training intuition, and evaluation metrics intro.
Week 2: Deep Learning Fundamentals
Core Concepts: What is a neural network, biological vs. artificial neurons, the Perceptron model, and activation functions (ReLU, Sigmoid, Tanh, Softmax).
Network Architectures: Input, hidden, and output layers. Forward propagation, loss functions (MSE, Cross-Entropy), backpropagation intuition, and gradient descent variants (SGD, Adam, RMSprop).
Optimization & Tooling: Epochs, batch sizes, learning rates. Overfitting/underfitting management. Regularization (L1, L2, Dropout), batch normalization, and early stopping. TensorFlow vs. PyTorch framework overview & Keras API.
Hands-on Lab: Build a feed-forward NN on MNIST / Iris, visualize training curves, tune hyperparameters, and compare model performance.
Module 1 Deliverables:
• Conceptual Quiz: AI/ML/DL mechanics (30 questions) • Lab Notebook: First functional neural network on MNIST dataset • Mini-Project: Exploratory Data Analysis (EDA) on a real-world dataset (e.g., Titanic, Housing prices)
MODULE 2: Deep Dive into Data Science & Machine Learning
Weeks 3-6 • Full ML Lifecycle from Data Wrangling to Model Deployment
Advanced ML Frameworks: Bagging and Boosting mechanics (Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost). Unsupervised layouts (K-Means, Hierarchical clustering, DBSCAN, PCA mapping). Time Series modeling (ARIMA, Prophet). Recommender Systems.
Neural Sequences & Operations: Convolutional Neural Networks (CNN) for spatial parsing, Recurrent Neural Networks (RNN/LSTM/GRU) for contextual time series and texts. Introductory transfer learning protocols.
Production Deployment: Model serialization paths (Joblib, ONNX). Constructing lightweight microservices via FastAPI. Packaging environments through Docker container nodes. MLflow versioning configurations and drift tracking loops.
Module 2 Deliverables:
• 4 Production-grade Graded Jupyter Notebook Coding Assignments • Mid-Module Comprehensive Validation Exam (Supervised Learning Metrics) • Module 2 Capstone Delivery: End-to-end engineered predictive model served over containerized web APIs
MODULE 3: Generative AI & LLM Application Development
Transformer Architectures: Discriminative vs. Generative logic. Self-attention, multi-head attention blocks, positional encoding matrices. Complete structural breakdown of the "Attention Is All You Need" paper walkthrough. Parameters, scaling laws, and BERT/GPT family deep dive.
API Runtimes & Content Safety: Interfacing with OpenAI, Anthropic Claude, Google Gemini APIs. Response streaming logic, token economics, and latency reduction blocks. Building custom safety guardrails to mitigate prompt injections, jailbreaks, and PII leaks.
Framework Primitives & Fine-Tuning: Orchestrating complex orchestration paths over LangChain and LlamaIndex templates. Parameter-Efficient Fine-Tuning (PEFT) frameworks using SFT, LoRA adaptations, and quantized QLoRA layouts over Hugging Face nodes.
Autonomous Multi-Agent Systems & Multimodal App Dev: Building function calling nodes, autonomous tool-tracking loops, and Model Context Protocol (MCP) integrations. Prototyping UIs with Streamlit/Gradio and Next.js. Observability frameworks (RAGAS, LLM-as-a-judge telemetry, tracing loops).
Module 3 Deliverables:
• Functional conversational assistant engine tracking core streaming API endpoints • Production-grade context-grounded RAG application querying local enterprise indexes • Fine-tuning experiment notebook tracking LoRA parameter adjustments over custom data targets • Module 3 Capstone Delivery: Full-stack context-aware GenAI application prototype and deployment dossier
Unified Tooling Landscape
The Modern Enterprise Intelligence Stack
Gain deep programmatic proficiency across the exact libraries and APIs shaping production environments today.
Python 3.10+ & SQL
NumPy, Pandas, Scikit-Learn
PyTorch & Hugging Face
LangChain & LlamaIndex
Pinecone, ChromaDB & Oracle 23ai
OpenAI, Claude & Gemini APIs
Docker, FastAPI & MLflow
Streamlit & Gradio UI
Production Portfolio Tracks
Practical Capstone Modules
Deconstruct and deploy high-utility architectures instead of basic template scripts.
Module 2 Capstone Options
End-to-End Enterprise Predictive Engine
Collect data fields, structure custom engineering configurations, train optimized boosting parameters, serialize model versions, and host code architectures via dynamic FastAPI nodes.
Automated Invoice Structural Data Extraction nodes (mixed PDFs/scans)
AI Study Assistants with auto quiz generators
Customer Support Bots with documentation escalation paths
Targeted Market Engineering Roles
Transition fully from simple descriptive analytics into native development parameters.
AI Engineer
ML Engineer
GenAI Architect
Data Scientist
Why Engineers Choose ExaGuru?
1
Zero Trivial Demos
We do not copy standard boilerplate scripts. You build operational, memory-backed workflows designed for robust high-dimension enterprise search execution.
2
Syllabus Depth Rigor
Meticulous alignment starting right from fundamental regression assumptions up to parameter-efficient fine-tuning matrices.
3
Robust Assessment Verification
Iterative conceptual checks, graded lab files, and rigorous peer code evaluations designed to confirm system design capabilities.
Honest feedback from professionals and learners who have been part of the ExaGuru learning journey.
Excelent Online training institute for Exadata, Exacc and OCI
Excelent Online training institute for Exadata, Exacc and oci. I had a great learning experience. Special appreciation to Mr. Krishna for his outstanding teaching skills. His clear explanations, practical approach, and ability to simplify complex technical concepts made the training easy to understand and follow. I highly recommend this institute to anyone looking to enhance their knowledge and skills in Oracle Exadata, ExaCC, and Oracle Cloud Infrastructure (OCI). Thank you, Mr. Krishna, for the excellent training and guidance!
SK
Sher Khan
UAE · Oct 9, 2026
It's very good platform to upgrade your skills
It's very good platform to upgrade your skills in very less time with hands-on practical knowledge as theory is not sufficient enough to upgrade your skill. Krishna has very good knowledge on what's actually needed to stay in market. What is essential which keeps you demanding in job market.
MS
Mayuresh Shingan
India · Oct 9, 2026
Excellent Course with Real-Time Troubleshooting
My experience with the ExaGuru course has been very positive and valuable. The training covers Exadata, OCI, ExaCC, and ExaCS in a practical and easy-to-understand way. The instructor (Krishna Sir) explains the concepts clearly and provides real-time industry examples, which helped me understand how these technologies are used in production environments. The hands-on lab sessions were especially useful because they gave me an opportunity to practice the concepts and gain practical experience. The course also covers real-time troubleshooting scenarios, which is very helpful for understanding and resolving issues that can occur in production. The recorded sessions are another great advantage, as I can revisit the topics whenever I need to refresh my knowledge. The job portal support provided as part of the course is also very useful for exploring relevant career opportunities. Overall, the combination of theoretical knowledge, real-time examples, hands-on practice, troubleshooting, recorded sessions, and job support has made this course very useful for my career and practical knowledge.
SS
Shaik Sulaiman
Singapore · Oct 2, 2026
Quite literally the most in dept educational content available for Orcale ExaData
Well I scoured the internet for in depth ExaData courses and couldn't find any then I stumbled upon Exaguru was a bit skeptical at first but got enough confidence in their webinar and the best part of these courses were the interactive labs we were actually learning through practical application which is leagues and miles ahead of any other educational offering for these courses particular courses and the labs coupled with one on one doubt session helped me to actually get a job because their syllabus is quite tightly aligned to what is asked in and needed in the industry.
AS
Astitva Singh
India · Aug 20, 2026
The finest Exadata training I found
I found Exaguru while checking all the other options available for Exadata training, and found their training program the finest among all. They have a structured approach to the subject and know exactly whats needed in the industry in today's times. They even provide real time simulators, which is as-good-as practising on a real exadata machine, which is too expensive to procure for training. Viraj, our trainer, is an excellent teacher and has his own ways to motivate and assist in learning the fundamentals. Im happy to be part of exaguru and would recommend them to whomsoever is looking to learn Exadata and OCI.
AY
Aman Yadav
India · May 28, 2026
I was looking for OCI GUI access
I was looking for OCI GUI access. I got it here. I was able to explore the options in OCI. The explanation during the course was also very good specially during OCI Networking. Thank you Krishna.
MM
Moizuddin Mudassar
Saudi Arabia · Oct 2, 2026
I joined it in july batch
I joined it in july batch, I liked the OCI course, especially the networking labs. Working with VCNs, subnets and gateways, vlans, helped me understand the concepts much better.
GT
Gaurav Tiwari
India · Aug 20, 2026
Very good theory and practice sessions
Very good theory and practice sessions. The instructor is very knowledgeable and took sincere efforts to make the class learn the concepts.
AA
Amit Aggarwal
United States · May 27, 2026
Here I made progress in my OCI Journey
Here I made progress in my OCI Journey, all thanks mainly goes to Krishna Sir, He guided me through and made me what I am today.
AT
Anuj Tiwari
India · Aug 22, 2026
Krishna is very good
Krishna is very good, patience enough to give answers give complete knowledge.
S
Srinivas
United States · Oct 2, 2026
Nice OCI networking and Exadata class
Nice oci networking part and overall exadata class is good.
MK
Muthu Kumar
India · Oct 2, 2026
Simple learning process
Simple learning process. Best tutor. Company should more focus on helping candidate get the job who participated in courses. Overall it is great i recommend everyone to do courses from exaguru.
RY
Rama Yeligeti
India · Jul 10, 2026
Amazing stuff and support provided by the team
Amazing stuff and support provided by team, recommended if want to reach pro level.
SC
Shailendra Chauhan
India · Jul 7, 2026
It was an awesome class of Exadata and OCI
It was awesome class of exadata and OCI. Please keep good work continuesly.
Basic programming familiarity in any scripting environment, high-school level algebra knowledge, and clear logical curiosity. We bootstrap up to complex layers completely within Module 1.
What is the delivery rhythm of the program?
The track runs for 10 structural weeks via instructor-led digital master sessions, including real-time demonstration blocks, structured interactive feedback segments, and step-by-step custom hands-on laboratory work.
What are the criteria to acquire official certification?
Requires maintaining a minimum session attendance rate of 75%, completing 70% of total homework notebooks, submitting both multi-dimension capstone systems, and maintaining a combined aggregate score of 60% or higher.
How are student runtime queries managed during the week?
We provide full structural support loops via dedicated engineering communication platforms, code tracking systems, and dedicated weekly face-to-face feedback blocks.
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96-HOURS, 100% RISK- FREE ASSURANCE
Test the integration paths, deconstruct the material, and trace the code nodes. If the technical granularity fails to meet your baseline standards, acquire a full structural refund under the following bounds:
Portal core material consumption status matches strictly less than 25%
