diff --git a/anolis-courses/KeenTune/auto-tuning/index.yaml b/anolis-courses/KeenTune/auto-tuning/index.yaml
index b61843d0aeed564e54cf7e00e6d8bbf7eeb1b6b2..ad0347559a4d83bcf41c99ab830b1c29b3e0934a 100644
--- a/anolis-courses/KeenTune/auto-tuning/index.yaml
+++ b/anolis-courses/KeenTune/auto-tuning/index.yaml
@@ -9,16 +9,4 @@ details:
     - name: 启动KeenTune服务
       content: step1.md
     - name: 获取baseline
-      content: step2.md
-    - name: 查询可调优的参数
-      content: step3.md
-    - name: 查看参数内容
-      content: step4.md
-    - name: 进行参数调优
-      content: step5.md
-    - name: 查看调优日志
-      content: step6.md
-    - name: 验证调优效果
-      content: step7.md
-    - name: 恢复环境
-      content: step8.md
\ No newline at end of file
+      content: step2.md
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/auto-tuning/step1.md b/anolis-courses/KeenTune/auto-tuning/step1.md
index 4cceca7ad1ffde815c1864bc8c8b987920ac4461..d5ef82f13f67e7dd4683114be08bbffaac623414 100644
--- a/anolis-courses/KeenTune/auto-tuning/step1.md
+++ b/anolis-courses/KeenTune/auto-tuning/step1.md
@@ -1,2 +1,95 @@
-1. 运行下面的命令启动KeenTune服务  
-[[ systemctl restart  keentuned keentune-target]]
\ No newline at end of file
+STEP 1. 部署安装KeenTune环境
+
+这一步我们应该部署KeenTune所有组件以及使用的benchmark工具wrk，安装和配置调优目标nginx服务，以及准备KeenTune运行所需的python环境等，为了方便操作，我们提供了一个脚本方便您一键部署  
+
+ACTION: 请将以下脚本copy到文件中并执行
+ps. 如果已经安装过请跳过此步骤
+```s
+#!/bin/bash
+json_name="sysctl.json, nginx.json"
+nginx_conf=/etc/nginx/nginx.conf
+keentune_conf=/etc/keentune/conf/keentuned.conf
+
+
+config_yum_source()
+{
+  if cat /etc/yum.repos.d/epel.repo | grep "\[keentune\]";then
+    echo "keentune already in yum source"
+  else
+    cat >> /etc/yum.repos.d/epel.repo <<EOF
+[keentune]
+name=keentune-os
+baseurl=https://mirrors.openanolis.cn/anolis/8.6/Plus/\$basearch/os
+gpgkey=https://mirrors.openanolis.cn/anolis/RPM-GPG-KEY-ANOLIS
+enabled=1
+gpgcheck=0
+EOF
+    yum clean all
+    yum makecache
+  fi
+}
+
+install_wrk()
+{
+    yum install -y git
+    rm -rf wrk
+    which wrk && return 0
+    git clone https://gitee.com/mirrors/wrk.git wrk
+    cd wrk
+    make && cp wrk /usr/bin/
+    cd -
+    rm -rf wrk
+}
+
+install_nginx()
+{
+    which nginx && return 0
+    yum install -y nginx
+    sed -i "s/access_log.*/access_log off;/g" $nginx_conf
+    systemctl restart nginx
+    systemctl status nginx || return 1
+}
+
+set_python_env()
+{
+  pip3 install --upgrade pip
+  pip3 install numpy==1.19.5 tornado==6.1 hyperopt==0.2.5 requests==2.25.1
+  pip3 install scikit_learn==0.24.2 pynginxconfig shap xgboost
+}
+
+get_preset_files()
+{
+  yum install -y git
+  git clone -b user_courses_0726 https://gitee.com/anolis/keentuned.git
+  cd keentuned/preset_files
+  mkdir -p /var/keentune/profile
+  mkdir -p /var/keentune/data/tuning_data
+  mkdir -p /var/keentune/tuning_workspace/http_long
+
+  cp tuning_jobs.csv /var/keentune
+  cp http_long_group1.conf /var/keentune/profile
+  cp -r http_long /var/keentune/data/tuning_data
+  cd -
+  rm -rf keentuned
+}
+
+set_env()
+{
+  install_wrk
+  install_nginx
+  set_python_env
+  config_yum_source
+}
+
+start_keentune()
+{
+  get_preset_files
+  yum install -y keentuned keentune-brain keentune-target keentune-bench
+  sed -i "s/PARAMETER.*=.*/PARAMETER = ${json_name}/g" $keentune_conf
+  systemctl restart  keentuned keentune-brain keentune-target keentune-bench
+}
+
+set_env
+start_keentune
+echo "start keentune server successfully!"
+```
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/auto-tuning/step2.md b/anolis-courses/KeenTune/auto-tuning/step2.md
index 544b5f45c84401dd60d4010556ac9cea1cc42ef7..ac5ac8c1c8baa7386f6353b76fc2a807a616f788 100644
--- a/anolis-courses/KeenTune/auto-tuning/step2.md
+++ b/anolis-courses/KeenTune/auto-tuning/step2.md
@@ -1,2 +1,32 @@
-1. KeenTune提供了wrk的执行脚本，运行该脚本获得性能基准值(baseline)  
-[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
\ No newline at end of file
+STEP 2. Parameters Auto-Tuning
+
+1. 运行下面的命令启动KeenTune服务  
+[[ systemctl restart  keentuned keentune-brain keentune-target keentune-bench ]]
+
+2. KeenTune提供了wrk的执行脚本，运行该脚本获得性能基准值(baseline)  
+[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
+
+3. 查询KeenTune内置的可调优的参数配置文件  
+[[ keentune param list ]]
+
+4. 我们将会用到sysctl.json和nginx.json两个文件分别对内核参数和nginx参数进行调优
++ 查看要调优的内核参数
+[[ cat /etc/keentune/parameter/sysctl.json ]]
++ 查看要调优的nginx配置参数
+[[ cat /etc/keentune/parameter/nginx.json ]]
++ 这两个参数已经在keentune的配置文件中指定, 可以通过以下命令查看
+[[ cat /etc/keentune/conf/keentuned.conf ]]
+
+5. 我们直接使用keentune param tune命令发起一次动态调优，使用-i指定调优轮次，--job指定任务名
+[[ keentune param tune -i 20 --job http_long_test ]]
+
+6. 调优过程会保存在日志中，我们使用tail命令查看调优过程日志
+[[ tail -f /var/log/keentune/http_long_test.log ]]
+等待调优结束, 日志中出现``[best] Tuning improvement``数据
+
+7. 我们再一次执行benchmark来查看调优效果
+[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
+
+8. 最后我们使用rollback命令恢复环境默认参数  
+[[ keentune param rollback ]]
+
diff --git a/anolis-courses/KeenTune/auto-tuning/step3.md b/anolis-courses/KeenTune/auto-tuning/step3.md
deleted file mode 100644
index 058df2956db11058ecebc056a927e989f2482c5f..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/auto-tuning/step3.md
+++ /dev/null
@@ -1,2 +0,0 @@
-1. 查询KeenTune内置的可调优的参数配置文件  
-[[ keentune param list ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/auto-tuning/step4.md b/anolis-courses/KeenTune/auto-tuning/step4.md
deleted file mode 100644
index 5f1e604412cdfbab0282cc1b7b9d2e8d432a59f0..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/auto-tuning/step4.md
+++ /dev/null
@@ -1,7 +0,0 @@
-我们将会用到sysctl.json和nginx.json两个文件分别对内核参数和nginx参数进行调优
-1. 查看要调优的内核参数
-[[ cat /etc/keentune/parameter/sysctl.json ]]
-2. 查看要调优的nginx配置参数
-[[ cat /etc/keentune/parameter/nginx.json ]]
-3. 这两个参数已经在keentune的配置文件中指定, 可以通过以下命令查看
-[[ cat /etc/keentune/conf/keentuned.conf ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/auto-tuning/step5.md b/anolis-courses/KeenTune/auto-tuning/step5.md
deleted file mode 100644
index 9380c643a7a2c4572cc9676b945973ea786780ec..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/auto-tuning/step5.md
+++ /dev/null
@@ -1,4 +0,0 @@
-1. 我们直接使用keentune param tune命令发起一次动态调优，使用-i指定调优轮次，--job指定任务名
-[[ keentune param tune -i 20 --job http_long_test ]]
-
-
diff --git a/anolis-courses/KeenTune/auto-tuning/step6.md b/anolis-courses/KeenTune/auto-tuning/step6.md
deleted file mode 100644
index 6b2a8193fcbbbdf17319a43f036a429e10631425..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/auto-tuning/step6.md
+++ /dev/null
@@ -1,3 +0,0 @@
-1. 调优过程会保存在日志中，我们使用tail命令查看调优过程日志
-[[ tail -f /var/log/keentune/http_long_test.log ]]
-2. 等待调优结束, 日志中出现``[best] Tuning improvement``数据
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/auto-tuning/step7.md b/anolis-courses/KeenTune/auto-tuning/step7.md
deleted file mode 100644
index ff1e629c066da99a9190cdb7135cc08acc199a9e..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/auto-tuning/step7.md
+++ /dev/null
@@ -1,2 +0,0 @@
-1. 我们再一次执行benchmark来查看调优效果
-[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/auto-tuning/step8.md b/anolis-courses/KeenTune/auto-tuning/step8.md
deleted file mode 100644
index 1e61488fa5efaa68d3edc413fce5e35363509a7b..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/auto-tuning/step8.md
+++ /dev/null
@@ -1,2 +0,0 @@
-1. 最后我们使用rollback命令恢复环境默认参数  
-[[ keentune param rollback ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/index.yaml b/anolis-courses/KeenTune/profile-setting/index.yaml
index 91b34279ab9cdffa177257828ae63bf24eb35165..5529cc1b383531038c93ec813a6c1fef25708006 100644
--- a/anolis-courses/KeenTune/profile-setting/index.yaml
+++ b/anolis-courses/KeenTune/profile-setting/index.yaml
@@ -9,12 +9,4 @@ details:
     - name: 启动KeenTune服务
       content: step1.md
     - name: 获取baseline
-      content: step2.md
-    - name: 查看可用profile
-      content: step3.md
-    - name: profile设置
-      content: step4.md
-    - name: 确认优化效果
-      content: step5.md
-    - name: 恢复环境
-      content: step6.md
\ No newline at end of file
+      content: step2.md
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/step1.md b/anolis-courses/KeenTune/profile-setting/step1.md
index 900dd88a7c6dd19840e04e58b7aaff03e2666869..d5ef82f13f67e7dd4683114be08bbffaac623414 100644
--- a/anolis-courses/KeenTune/profile-setting/step1.md
+++ b/anolis-courses/KeenTune/profile-setting/step1.md
@@ -1,2 +1,95 @@
-运行下面的命令启动KeenTune服务  
-[[ systemctl restart  keentuned keentune-brain keentune-target keentune-bench ]]
\ No newline at end of file
+STEP 1. 部署安装KeenTune环境
+
+这一步我们应该部署KeenTune所有组件以及使用的benchmark工具wrk，安装和配置调优目标nginx服务，以及准备KeenTune运行所需的python环境等，为了方便操作，我们提供了一个脚本方便您一键部署  
+
+ACTION: 请将以下脚本copy到文件中并执行
+ps. 如果已经安装过请跳过此步骤
+```s
+#!/bin/bash
+json_name="sysctl.json, nginx.json"
+nginx_conf=/etc/nginx/nginx.conf
+keentune_conf=/etc/keentune/conf/keentuned.conf
+
+
+config_yum_source()
+{
+  if cat /etc/yum.repos.d/epel.repo | grep "\[keentune\]";then
+    echo "keentune already in yum source"
+  else
+    cat >> /etc/yum.repos.d/epel.repo <<EOF
+[keentune]
+name=keentune-os
+baseurl=https://mirrors.openanolis.cn/anolis/8.6/Plus/\$basearch/os
+gpgkey=https://mirrors.openanolis.cn/anolis/RPM-GPG-KEY-ANOLIS
+enabled=1
+gpgcheck=0
+EOF
+    yum clean all
+    yum makecache
+  fi
+}
+
+install_wrk()
+{
+    yum install -y git
+    rm -rf wrk
+    which wrk && return 0
+    git clone https://gitee.com/mirrors/wrk.git wrk
+    cd wrk
+    make && cp wrk /usr/bin/
+    cd -
+    rm -rf wrk
+}
+
+install_nginx()
+{
+    which nginx && return 0
+    yum install -y nginx
+    sed -i "s/access_log.*/access_log off;/g" $nginx_conf
+    systemctl restart nginx
+    systemctl status nginx || return 1
+}
+
+set_python_env()
+{
+  pip3 install --upgrade pip
+  pip3 install numpy==1.19.5 tornado==6.1 hyperopt==0.2.5 requests==2.25.1
+  pip3 install scikit_learn==0.24.2 pynginxconfig shap xgboost
+}
+
+get_preset_files()
+{
+  yum install -y git
+  git clone -b user_courses_0726 https://gitee.com/anolis/keentuned.git
+  cd keentuned/preset_files
+  mkdir -p /var/keentune/profile
+  mkdir -p /var/keentune/data/tuning_data
+  mkdir -p /var/keentune/tuning_workspace/http_long
+
+  cp tuning_jobs.csv /var/keentune
+  cp http_long_group1.conf /var/keentune/profile
+  cp -r http_long /var/keentune/data/tuning_data
+  cd -
+  rm -rf keentuned
+}
+
+set_env()
+{
+  install_wrk
+  install_nginx
+  set_python_env
+  config_yum_source
+}
+
+start_keentune()
+{
+  get_preset_files
+  yum install -y keentuned keentune-brain keentune-target keentune-bench
+  sed -i "s/PARAMETER.*=.*/PARAMETER = ${json_name}/g" $keentune_conf
+  systemctl restart  keentuned keentune-brain keentune-target keentune-bench
+}
+
+set_env
+start_keentune
+echo "start keentune server successfully!"
+```
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/step2.md b/anolis-courses/KeenTune/profile-setting/step2.md
index ebfa1f5a76eb53f7535dca84a0916910eaf49e9e..a75d0a37c466ecf47c39fe3e5f56187719a9165c 100644
--- a/anolis-courses/KeenTune/profile-setting/step2.md
+++ b/anolis-courses/KeenTune/profile-setting/step2.md
@@ -1,2 +1,19 @@
-KeenTune提供了wrk的执行脚本，运行该脚本获得性能基准值(baseline)    
-[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
\ No newline at end of file
+STEP 2. Profile Setting
+
+1. 运行下面的命令启动KeenTune服务  
+[[ systemctl restart keentuned keentune-target]]
+
+2. KeenTune提供了wrk的执行脚本，运行该脚本获得性能基准值(baseline)    
+[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
+
+3. 查看KeenTune中可使用的专家调优文件  
+[[ keentune profile list ]]
+
+4. 我们选择``http_long_group1.conf``这个profile文件设置到当前环境中  
+[[ keentune profile set --group1 http_long_group1.conf  ]]
+
+5. 设置成功后，我们再次执行benchmark查看调优后的性能得分  
+[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
+
+6. 最后使用rollback命令恢复环境默认参数  
+[[ keentune profile rollback ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/step3.md b/anolis-courses/KeenTune/profile-setting/step3.md
deleted file mode 100644
index 7b193dff533298b23872ab903db3306d6756d11f..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/profile-setting/step3.md
+++ /dev/null
@@ -1,2 +0,0 @@
-查看KeenTune中可使用的专家调优文件  
-[[ keentune profile list ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/step4.md b/anolis-courses/KeenTune/profile-setting/step4.md
deleted file mode 100644
index 14b9110aeb3031535f47b3397a49dfbd1d16dc8b..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/profile-setting/step4.md
+++ /dev/null
@@ -1,2 +0,0 @@
-我们选择``http_long_group1.conf``这个profile文件设置到当前环境中  
-[[ keentune profile set --group1 http_long_group1.conf  ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/step5.md b/anolis-courses/KeenTune/profile-setting/step5.md
deleted file mode 100644
index 8d0d11da62740ac2eaeeab00ac2ecf1a66bc52bd..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/profile-setting/step5.md
+++ /dev/null
@@ -1,2 +0,0 @@
-设置成功后，我们再次执行benchmark查看调优后的性能得分  
-[[ python3 /etc/keentune/benchmark/wrk/wrk_http_long.py localhost ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/profile-setting/step6.md b/anolis-courses/KeenTune/profile-setting/step6.md
deleted file mode 100644
index 931747604b3614b73c4522b42ae300352cee3a32..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/profile-setting/step6.md
+++ /dev/null
@@ -1,2 +0,0 @@
-最后使用rollback命令恢复环境默认参数  
-[[ keentune profile rollback ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/sensitizing/index.yaml b/anolis-courses/KeenTune/sensitizing/index.yaml
index 11c4759de763da37539ee3f8b1f66e29fad9a3bb..1021faa213544d6a4da24263ebea38ffbbbe9f86 100644
--- a/anolis-courses/KeenTune/sensitizing/index.yaml
+++ b/anolis-courses/KeenTune/sensitizing/index.yaml
@@ -9,8 +9,4 @@ details:
     - name: 启动KeenTune服务
       content: step1.md
     - name: 查看可用的数据列表
-      content: step2.md
-    - name: 发起一次参数敏感性识别
-      content: step3.md
-    - name: 查看日志和结果
-      content: step4.md
\ No newline at end of file
+      content: step2.md
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/sensitizing/step1.md b/anolis-courses/KeenTune/sensitizing/step1.md
index e0c0238fae5df276435553838a03e6f693ccab29..d5ef82f13f67e7dd4683114be08bbffaac623414 100644
--- a/anolis-courses/KeenTune/sensitizing/step1.md
+++ b/anolis-courses/KeenTune/sensitizing/step1.md
@@ -1,2 +1,95 @@
-运行下面的命令启动KeenTune服务  
-[[ systemctl restart  keentuned keentune-brain]]
\ No newline at end of file
+STEP 1. 部署安装KeenTune环境
+
+这一步我们应该部署KeenTune所有组件以及使用的benchmark工具wrk，安装和配置调优目标nginx服务，以及准备KeenTune运行所需的python环境等，为了方便操作，我们提供了一个脚本方便您一键部署  
+
+ACTION: 请将以下脚本copy到文件中并执行
+ps. 如果已经安装过请跳过此步骤
+```s
+#!/bin/bash
+json_name="sysctl.json, nginx.json"
+nginx_conf=/etc/nginx/nginx.conf
+keentune_conf=/etc/keentune/conf/keentuned.conf
+
+
+config_yum_source()
+{
+  if cat /etc/yum.repos.d/epel.repo | grep "\[keentune\]";then
+    echo "keentune already in yum source"
+  else
+    cat >> /etc/yum.repos.d/epel.repo <<EOF
+[keentune]
+name=keentune-os
+baseurl=https://mirrors.openanolis.cn/anolis/8.6/Plus/\$basearch/os
+gpgkey=https://mirrors.openanolis.cn/anolis/RPM-GPG-KEY-ANOLIS
+enabled=1
+gpgcheck=0
+EOF
+    yum clean all
+    yum makecache
+  fi
+}
+
+install_wrk()
+{
+    yum install -y git
+    rm -rf wrk
+    which wrk && return 0
+    git clone https://gitee.com/mirrors/wrk.git wrk
+    cd wrk
+    make && cp wrk /usr/bin/
+    cd -
+    rm -rf wrk
+}
+
+install_nginx()
+{
+    which nginx && return 0
+    yum install -y nginx
+    sed -i "s/access_log.*/access_log off;/g" $nginx_conf
+    systemctl restart nginx
+    systemctl status nginx || return 1
+}
+
+set_python_env()
+{
+  pip3 install --upgrade pip
+  pip3 install numpy==1.19.5 tornado==6.1 hyperopt==0.2.5 requests==2.25.1
+  pip3 install scikit_learn==0.24.2 pynginxconfig shap xgboost
+}
+
+get_preset_files()
+{
+  yum install -y git
+  git clone -b user_courses_0726 https://gitee.com/anolis/keentuned.git
+  cd keentuned/preset_files
+  mkdir -p /var/keentune/profile
+  mkdir -p /var/keentune/data/tuning_data
+  mkdir -p /var/keentune/tuning_workspace/http_long
+
+  cp tuning_jobs.csv /var/keentune
+  cp http_long_group1.conf /var/keentune/profile
+  cp -r http_long /var/keentune/data/tuning_data
+  cd -
+  rm -rf keentuned
+}
+
+set_env()
+{
+  install_wrk
+  install_nginx
+  set_python_env
+  config_yum_source
+}
+
+start_keentune()
+{
+  get_preset_files
+  yum install -y keentuned keentune-brain keentune-target keentune-bench
+  sed -i "s/PARAMETER.*=.*/PARAMETER = ${json_name}/g" $keentune_conf
+  systemctl restart  keentuned keentune-brain keentune-target keentune-bench
+}
+
+set_env
+start_keentune
+echo "start keentune server successfully!"
+```
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/sensitizing/step2.md b/anolis-courses/KeenTune/sensitizing/step2.md
index 1dfaa2b6d4f5a0629210d0fcf222109d53dfbc0c..8468233780409b5d28474b64e1b502d04a1e5419 100644
--- a/anolis-courses/KeenTune/sensitizing/step2.md
+++ b/anolis-courses/KeenTune/sensitizing/step2.md
@@ -1,3 +1,14 @@
-查看可用的数据列表，我们已经提前完成了一个名为http_long的参数调优任务，并保留了它的数据作为敏感参数识别的输入  
-[[ keentune param jobs ]]
+STEP 2. Sensitivity identification
 
+1. 运行下面的命令启动KeenTune服务  
+[[ systemctl restart keentuned keentune-brain]]
+
+2. 我们使用http_long调优任务的数据发起一次参数敏感性识别，--data指定使用的数据，--job表明本次参数敏感性识别任务的名称  
+[[ keentune sensitize train --data http_long --job http_long_train ]]
+
+3. 我们使用http_long调优任务的数据发起一次参数敏感性识别，--data指定使用的数据，--job表明本次参数敏感性识别任务的名称  
+[[ keentune sensitize train --data http_long --job http_long_train ]]
+
+4. 使用tail命令查看参数识别过程日志  
+[[ tail -f /var/log/keentune/keentuned-sensitize-train-http_long_train.log ]]
+等待参数识别完成，我们就可以在日志中看到参数敏感性排序  
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/sensitizing/step3.md b/anolis-courses/KeenTune/sensitizing/step3.md
deleted file mode 100644
index de6e72d409e641506ca5862fb657cd1b6bfd7a3d..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/sensitizing/step3.md
+++ /dev/null
@@ -1,2 +0,0 @@
-我们使用http_long调优任务的数据发起一次参数敏感性识别，--data指定使用的数据，--job表明本次参数敏感性识别任务的名称  
-[[ keentune sensitize train --data http_long --job http_long_train ]]
\ No newline at end of file
diff --git a/anolis-courses/KeenTune/sensitizing/step4.md b/anolis-courses/KeenTune/sensitizing/step4.md
deleted file mode 100644
index 41b831762d552e81c3fdd7b808db31be332ac277..0000000000000000000000000000000000000000
--- a/anolis-courses/KeenTune/sensitizing/step4.md
+++ /dev/null
@@ -1,3 +0,0 @@
-1. 使用tail命令查看参数识别过程日志  
-[[ tail -f /var/log/keentune/keentuned-sensitize-train-http_long_train.log ]]
-2. 等待参数识别完成，我们就可以在日志中看到参数敏感性排序  
\ No newline at end of file
diff --git a/anolis-courses/abs/create_package/start.md b/anolis-courses/abs/create_package/start.md
index bbff194a347b4a43f126bbd83dd64a7662f36c9b..feadf582ca74f8d7524c8353d7df6a5b16022c5d 100644
--- a/anolis-courses/abs/create_package/start.md
+++ b/anolis-courses/abs/create_package/start.md
@@ -1,3 +1 @@
 本场景将提供一台配置了 CentOS 8.5 操作系统的云服务器作为构建验证环境，当您在 ABS 平台上成功构建了一个软件包之后，可以在这台云服务器上进行安装验证。
-
-
diff --git a/anolis-courses/anolis_install_DDE/install_dde/finish.md b/anolis-courses/anolis_install_DDE/install_dde/finish.md
index 33ea594e70439b55cd7de5b0a52bcd4d41ff9e41..01f6960af34111b2f3d72c836b71241b5f7072dd 100644
--- a/anolis-courses/anolis_install_DDE/install_dde/finish.md
+++ b/anolis-courses/anolis_install_DDE/install_dde/finish.md
@@ -1 +1,3 @@
 恭喜您完成了本场景实验
+
+
diff --git a/anolis-courses/anolis_install_DDE/install_dde/start.md b/anolis-courses/anolis_install_DDE/install_dde/start.md
index c44fe0ae27ade6c2354704bf19dca9d5df55eb67..dce9e269be482aaf6557215e1af525592adbf96b 100644
--- a/anolis-courses/anolis_install_DDE/install_dde/start.md
+++ b/anolis-courses/anolis_install_DDE/install_dde/start.md
@@ -1,3 +1 @@
 本场景将提供一台配置了 AnolisOS 8.4 操作系统的服务器作为实验环境,通过进行环境配置以及软件包安装，可以在Anolis系统环境中体验DDE桌面环境。
-
-
diff --git a/anolis-courses/appliation-devel/java_web/step1.md b/anolis-courses/appliation-devel/java_web/step1.md
index 6c82179189855c61c9bce215cb268267cf036a84..5e51e8e20bd1af66f865cc1c1f043e3d83d9d111 100644
--- a/anolis-courses/appliation-devel/java_web/step1.md
+++ b/anolis-courses/appliation-devel/java_web/step1.md
@@ -8,9 +8,7 @@
 
 3. 执行以下命令，查看是否安装成功。
 
-	[[ java --version ]]
+	[[ java -version ]]
 
 4. 如果命令执行成功并显示出 java 版本，表明安装成功。
 
-
-
diff --git a/anolis-courses/appliation-devel/java_web/step2.md b/anolis-courses/appliation-devel/java_web/step2.md
index 19a725ce945a4ed23168170a53b723527ef84fff..d8c7c7c0204816ea86a38ab9743cbee9f108398d 100644
--- a/anolis-courses/appliation-devel/java_web/step2.md
+++ b/anolis-courses/appliation-devel/java_web/step2.md
@@ -1,36 +1,35 @@
 1. 执行以下命令，下载并安装MySQL官方的Yum Repository。
 
-    [[ wget http://dev.mysql.com/get/mysql57-community-release-el7-10.noarch.rpm ]]
+	[[ wget http://dev.mysql.com/get/mysql57-community-release-el7-10.noarch.rpm ]]
 	
-    [[ yum -y install mysql57-community-release-el7-10.noarch.rpm ]]
+	[[ yum -y install mysql57-community-release-el7-10.noarch.rpm ]]
 	
-    [[ yum -y install * --nogpgcheck mysql-community-server ]]
+	[[ yum -y install * --nogpgcheck mysql-community-server ]]
 
 2. 执行以下命令，启动 MySQL 数据库。
 
-    [[ systemctl start mysqld.service ]] 
+	[[ systemctl start mysqld.service ]] 
 
 3. 执行以下命令，查看MySQL初始密码。
 
-    [[ grep "password" /var/log/mysqld.log ]]
+	[[ grep "password" /var/log/mysqld.log ]]
 
 4. 执行以下命令，输入上条命令中MySQL初始密码，登录数据库。
 
-    [[ mysql -uroot -p ]]
+	[[ mysql -uroot -p ]]
 
 5. 执行以下命令，修改MySQL默认密码。#修改密码安全策略为低（只校验密码长度，至少8位）
 
-    [[ set global validate_password_policy=0; ]]
+	[[ set global validate_password_policy=0; ]]
 	
-    [[ ALTER USER 'root'@'localhost' IDENTIFIED BY '12345678'; ]]
+	[[ ALTER USER 'root'@'localhost' IDENTIFIED BY '12345678'; ]]
 
 6. 执行以下命令，授予root用户远程管理权限。
 
-    [[ GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY '12345678'; ]]
+	[[ GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY '12345678'; ]]
 
 7. 输入exit退出数据库。
 
 
 
 
-
diff --git a/anolis-courses/appliation-devel/java_web/step3.md b/anolis-courses/appliation-devel/java_web/step3.md
index dcd1de5d732c1b53d78e6fbe5ead0ec8ad6bbf01..790d092bcebc3026696ab558a015fd80447f4ab7 100644
--- a/anolis-courses/appliation-devel/java_web/step3.md
+++ b/anolis-courses/appliation-devel/java_web/step3.md
@@ -22,4 +22,5 @@
 
 6. 启动Tomcat。
 
-    [[ /usr/local/Tomcat8.5/bin/./startup.sh ]]
\ No newline at end of file
+    [[ /usr/local/Tomcat8.5/bin/./startup.sh ]]
+
diff --git a/anolis-courses/appliation-devel/java_web/step4.md b/anolis-courses/appliation-devel/java_web/step4.md
index edb79339bac3f74b2abf75263d25fae0e6665703..2943a358a28718d0da3cabf24ee35183e666fae8 100644
--- a/anolis-courses/appliation-devel/java_web/step4.md
+++ b/anolis-courses/appliation-devel/java_web/step4.md
@@ -1,9 +1,11 @@
 
-1. 打开浏览器，在地址栏中输入当前环境的公网地址，例如：139.0.0.1
+1. 打开浏览器，在地址栏中输入当前环境的公网地址测试服务是否能访问成功，可以使用如下命令查看当前环境的地址。
+	
+	[[ curl myip.ipip.net ]] 
 
 	如果显示如下界面，则表示Tomcat安装配置成功。
 
     ![](./assets/tomcat.png)
 
 
-2. 至此，Java Web开发环境搭建完成。
\ No newline at end of file
+2. 至此，Java Web 开发环境搭建完成。
\ No newline at end of file
diff --git a/anolis-courses/centos2anolis/centos8_to_anolisos8/start.md b/anolis-courses/centos2anolis/centos8_to_anolisos8/start.md
index 9b24942fe2eba82f3b34155060a8684b828d11ec..9ae879cf25ecc692caf12d229b1320fc2fae2521 100644
--- a/anolis-courses/centos2anolis/centos8_to_anolisos8/start.md
+++ b/anolis-courses/centos2anolis/centos8_to_anolisos8/start.md
@@ -2,3 +2,6 @@
 
 软件重装的过程并不会修改当前系统基础配置，所以系统配置，业务配置，业务数据都不会被清除，迁移完成后这些数据无需重新设置，实现 CentOS 8.5 到 Anolis OS 8 的平滑迁移。
 
+
+
+
diff --git a/anolis-courses/centos2anolis/centos8_to_anolisos8/step2.md b/anolis-courses/centos2anolis/centos8_to_anolisos8/step2.md
index 5ca00fddc0fdbe9f3429b0364206215ce2c7fd65..fbd5bad5473652cdf931c7a0e3501e939f8bae4d 100644
--- a/anolis-courses/centos2anolis/centos8_to_anolisos8/step2.md
+++ b/anolis-courses/centos2anolis/centos8_to_anolisos8/step2.md
@@ -6,7 +6,7 @@
 	
 	[[ yum -y install python3 ]] 
 
-3. 迁移执行。
+3. 迁移执行，直接执行下面命令即可，大概 10 分钟左右，请耐心等待一下。
 
 	[[ python3 centos2anolis.py ]]
 
diff --git a/anolis-courses/centos2anolis/centos8_to_anolisos8/step3.md b/anolis-courses/centos2anolis/centos8_to_anolisos8/step3.md
index f1dc236eeefcda8129f1acf2f84fcf37b4e5f7aa..a1008427c648a41d18492a4f865bb2c019223a6c 100644
--- a/anolis-courses/centos2anolis/centos8_to_anolisos8/step3.md
+++ b/anolis-courses/centos2anolis/centos8_to_anolisos8/step3.md
@@ -1,9 +1,6 @@
 1. 迁移成功，重启即可进入 Anolis OS 系统。
 
-    [[ reboot ]]
-
-2. 重新连接并进入系统。
-
-
+	[[ reboot ]]
 
+2. 耐心等待 1 分钟左右，等待重启成功后，重新连接并进入系统。
 
diff --git a/anolis-courses/centos2anolis/centos8_to_anolisos8/step4.md b/anolis-courses/centos2anolis/centos8_to_anolisos8/step4.md
index cc87444777a23264d3318109c15bea2c583bfde6..429ec44407e436ed203edf45dc8e688f3bd1fbbf 100644
--- a/anolis-courses/centos2anolis/centos8_to_anolisos8/step4.md
+++ b/anolis-courses/centos2anolis/centos8_to_anolisos8/step4.md
@@ -4,26 +4,28 @@
 
 1. 通过命令进行检查。
 
-	[[ yum repolist ]]
+    [[ yum repolist ]]
 
-2. 如上述结果所示，“CentOS-8.5.2111 - Base - mirrors.aliyun.com” 就是残留的 CentOS repo，需要删除，否则会出现 Anolis OS 和 CentOS 源共存的问题，一旦执行 yum update可 能会错误地安装CentOS的包。
+2. 如上述结果所示，“CentOS-8.5.2111 - Base - mirrors.aliyun.com” 就是残留的 CentOS repo，需要删除，否则会出现 Anolis OS 和 CentOS 源共存的问题，一旦执行 `yum update` 可能会错误地安装CentOS的包。
 
-2.1 查找提供 CentOS repo 的配置文件。
+    a.  查找提供 CentOS repo 的配置文件。
 
-	[[ grep -rn "CentOS-8.5.2111" /etc/yum.repos.d/*.repo ]]
+        [[ grep -rn "CentOS-8.5.2111" /etc/yum.repos.d/*.repo ]]
 
-2.2 重命名上述步骤中找到的配置文件。
+    b. 重命名上述步骤中找到的配置文件。
 
-	[[ mv /etc/yum.repos.d/Centos-vault-8.5.2111.repo /etc/yum.repos.d/Centos-vault-8.5.2111.repo.bak ]]
+        [[ mv /etc/yum.repos.d/Centos-vault-8.5.2111.repo /etc/yum.repos.d/Centos-vault-8.5.2111.repo.bak ]]
 
 3. 迁移后验证。
-	1. 查看OS版本。
+    a. 查看OS版本，是否已经是 Anolis OS 。
 
-		[[ cat /etc/os-release ]]
+        [[ cat /etc/os-release ]]
+
+    b. 通过命令查看当前系统中是否有残留 CentOS 软件包，如果残留 kernel 包，为正常现象，kernel 包支持多版本共存。
+
+        [[ rpm -qa --qf "%{NAME} %{VENDOR}\n" | grep CentOS ]]
 
-	2. 通过命令查看当前系统中是否有残留 CentOS 软件包，如果残留 kernel 包，为正常现象，kernel包支持多版本共存。
 
-		[[ rpm -qa --qf "%{NAME} %{VENDOR}\n" | grep CentOS ]]
 
 
 
diff --git a/anolis-courses/cloud-native/compile_runD/index.yaml b/anolis-courses/cloud-native/compile_runD/index.yaml
index a9cd0625050cb6a952d68cd93da8dc484719c7b2..06caa47c12f569e4b71620fb0afb9df1d7f6bce5 100644
--- a/anolis-courses/cloud-native/compile_runD/index.yaml
+++ b/anolis-courses/cloud-native/compile_runD/index.yaml
@@ -1,5 +1,5 @@
 name: 编译Rust版本RunD并体验结果
-desc: 体验Rust语言，并修改runD以及查看修改结果
+desc: 体验Rust语言，并修改runD以及查看修改结果; 如果使用过程有什么问题，欢迎加入龙蜥云原生SIG钉钉群交流或者询问：群组直接搜索群号44701621
 image: "Anolis OS 8.4 ANCK 64位"
 live_time: "30 min"   
 machine: x86_64-bare_metal  # cpu架构-机器规格，该字段为空，默认 x86_64-2c4g
diff --git a/anolis-courses/cloud-native/index.yaml b/anolis-courses/cloud-native/index.yaml
index 884435fba8da89b2b166b283c0e50db29d8a931f..17241c76102c1f277532e38dd8de209def9a71b5 100644
--- a/anolis-courses/cloud-native/index.yaml
+++ b/anolis-courses/cloud-native/index.yaml
@@ -1,10 +1,10 @@
 name: 体验龙蜥云原生轻量化安全容器runD
-desc: 龙蜥云原生社区开源了阿里巴巴内部使用的轻量化安全容器runD，使用Rust语言编写，在安全的同时，具有启动快、内存占用资源小等优势特点, 本课程可以用多种运行容器的工具体验runD
-的启动快特点；然后本课程零门槛体验修改Rust代码的runD
+desc: 龙蜥云原生社区开源了阿里巴巴内部使用的轻量化安全容器runD，使用Rust语言编写，在安全的同时，具有启动快、内存占用资源小等优势特点, 本课程可以用多种运行容器的工具体验runD 的启动快特点；然后本课程零门槛体验修改Rust代码的runD
 runD    => 是龙蜥社区开源的安全容器沙箱环境，可以对接contaienrd，k8s等容器环境
 nerdctl => Docker-compatible CLI for containerd，兼容docker，并提供与docker类似的run，exec，stop，rm等容器管理的命令
 ctr     => 是containerd提供的简易的命令行参数工具
 crictl  => 是containerd下CRI接口的命令行参数工具，用于创建与k8s类似的POD，Container等资源
+如果使用过程有什么问题，欢迎加入龙蜥云原生SIG钉钉群交流或者询问：钉钉客户端群组直接搜索群号44701621
 type: course
 total_time: "60 min"
 level: "beginner"                  # beginner、intermediate、advanced
diff --git a/anolis-courses/cloud-native/running_runD/index.yaml b/anolis-courses/cloud-native/running_runD/index.yaml
index cc9769d8fa0324ed971cc934fc1a16baa2b43a11..6faeee8590949ab4e450e2bd6cbf36c0ca73cef4 100644
--- a/anolis-courses/cloud-native/running_runD/index.yaml
+++ b/anolis-courses/cloud-native/running_runD/index.yaml
@@ -1,5 +1,5 @@
 name: 多种运行容器工具体验runD
-desc: 学习使用nerdctl,ctr,crictl工具运行runD
+desc: 学习使用nerdctl,ctr,crictl工具运行runD; 如果使用过程有什么问题，欢迎加入龙蜥云原生SIG钉钉群交流或者询问：钉钉客户端群组直接搜索群号44701621
 image: "Anolis OS 8.4 ANCK 64位"
 live_time: "30 min"   
 machine: x86_64-bare_metal  # cpu架构-机器规格，该字段为空，默认 x86_64-2c4g
diff --git a/anolis-courses/cloud-native/running_runD/step2.md b/anolis-courses/cloud-native/running_runD/step2.md
index 8a8e96d05aa019a2728333a6846d3ddd7e031424..c578189ee0031671f453a8441e8bdb0c18cc879a 100644
--- a/anolis-courses/cloud-native/running_runD/step2.md
+++ b/anolis-courses/cloud-native/running_runD/step2.md
@@ -7,5 +7,3 @@
 
 3. 还可以运行qemu作为安全容器的vmm作为对比，可以看到rund启动时间会快很多
 [[ time nerdctl run --runtime io.containerd.kata-qemu.v2 busybox /bin/sh -c "uname -a" ]]
-
-
diff --git a/anolis-courses/t-one/tone_junior_doc/start.md b/anolis-courses/t-one/tone_junior_doc/start.md
index 9b642290e427955e7c32086d58631ecadbe3ddcc..c3cd37de46e3b3e3d0211a5d619c608ff29944c0 100644
--- a/anolis-courses/t-one/tone_junior_doc/start.md
+++ b/anolis-courses/t-one/tone_junior_doc/start.md
@@ -50,7 +50,4 @@
 
 ### 自定义测试
 
-社区贡献者个人定制化的测试类型。
-
-
-
+社区贡献者个人定制化的测试类型。
\ No newline at end of file
diff --git a/anolis-courses/t-one/tone_junior_doc/step1.md b/anolis-courses/t-one/tone_junior_doc/step1.md
index 49f41b4d55988131b54e92c05c1ed0b77d2a744e..32d9dd69de794e81f6c78374723c22e220ca30ac 100644
--- a/anolis-courses/t-one/tone_junior_doc/step1.md
+++ b/anolis-courses/t-one/tone_junior_doc/step1.md
@@ -5,3 +5,6 @@
 - **Product**：被测试的产品，您可以根据你自己的项目创建一个专属的产品
 - **Project**：Job的集合，用于管理同一个产品下具有相同特征的Job
 - **Baseline**：测试基线，一组测试任务的标准数据
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