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Learn deep learning fundamentals: gradient descent, Perceptron training, forward and backward propagation, activation functions, multi-class classification on MNIST, CNNs, and transfer learning with pre-trained models.
Connect Power BI to Excel, CSV, and web sources, then clean, type, merge, and transform data with Power Query using filters, splits, pivots, and unpivots.
Automate cloud infrastructure with Terraform: install it, deploy resources on AWS, GCP, and Azure, and work with modules, provisioners, remote state, and built-in functions.
Experiment with LLMs using hyperparameter tuning, A/B testing, and version control, deploy them with NVIDIA TensorRT, Triton, BioNeMo, and NGC, and apply ethical AI principles.
Learn to train, optimize, and deploy large language models: data cleaning, few-shot and instruction tuning, RLHF, PEFT and prompt tuning, perplexity metrics, and ONNX monitoring.
Build Power BI reports using bar, line, pie, funnel, scatter and map charts, plus table and matrix visuals, filters, KPI and card visuals, and analytical layouts.
Govern data in Databricks on AWS: build cleansing pipelines, apply RBAC and access control models, and track data lineage, versions, and change data capture.
Configure Amazon VPC networking: evaluate subnet sizing and CIDR blocks, build Internet and NAT gateways, VPC peering, bastion hosts, and monitor with VPC flow logs.
Prepare for the MLA-C01 exam: build, transform data, train, tune, and deploy ML models on AWS with SageMaker, Glue, DataBrew, Feature Store, and managed AI services.
Integrate and analyze data on AWS: build ETL with AWS Glue, query petabytes in Amazon Athena, run Spark and Hive on EMR, and stream through Kinesis and Flink.
Plan and execute risk-based IT audits: test controls, apply sampling and compliance versus substantive testing, gather evidence, and align IT governance, policies and enterprise architecture.
Learn NLP foundations: tokenization, text preprocessing, word embeddings with CBOW and Skipgram, sequence models RNN, LSTM and GRU, and transformer self-attention and encoder-decoder architectures.
Prepare for the DP-700 exam: configure, secure and orchestrate Microsoft Fabric analytics solutions, ingest and transform data, then monitor and optimize the resulting workloads.
Prepare for the ANS-C01 exam: design hybrid and cloud AWS networks, automate networking tasks, and operate secure, compliant network architectures using core AWS networking services.
Prepare for the AZ-400 exam: implement CI/CD, infrastructure as code, source control, and release strategies with Azure Pipelines, Repos, and Boards, plus security and monitoring.
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